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Justin Solomon 0001

Justin M. Solomon

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affiliation: MIT, Cambridge, MA, USA

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Books and Theses

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2015
[b2]
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Justin Solomon:
Numerical Algorithms - Methods for Computer Vision, Machine Learning, and Graphics. CRC Press 2015, ISBN 978-1-482-25188-3, pp. I-XX, 1-379
[b1]
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Justin Solomon:
Transportation techniques for geometric data processing. Stanford University, USA, 2015

Journal Articles

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2023
[j68]
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Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon:
Rewiring with Positional Encodings for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
[j67]
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Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien:
k-Mixup Regularization for Deep Learning via Optimal Transport. Trans. Mach. Learn. Res. 2023 (2023)
[j66]
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S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon:
Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary. ACM Trans. Graph. 42(3): 25:1-25:20 (2023)
[j65]
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Yu Wang, Minghao Guo, Justin Solomon:
Variational quasi-harmonic maps for computing diffeomorphisms. ACM Trans. Graph. 42(4): 130:1-130:26 (2023)
[j64]
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Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon:
Variational Barycentric Coordinates. ACM Trans. Graph. 42(6): 255:1-255:16 (2023)
2022
[j63]
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Paul Zhang, Dmitriy Smirnov, Justin Solomon:
Wassersplines for Neural Vector Field-Controlled Animation. Comput. Graph. Forum 41(8): 31-41 (2022)
[j62]
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  - journals/siamis/SteinLS22
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Oded Stein, Jiajin Li, Justin Solomon:
A Splitting Scheme for Flip-Free Distortion Energies. SIAM J. Imaging Sci. 15(2): 925-959 (2022)
[j61]
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Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja:
$k$-Variance: A Clustered Notion of Variance. SIAM J. Math. Data Sci. 4(3): 957-978 (2022)
[j60]
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S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Volumetric Parameterization of the Placenta to a Flattened Template. IEEE Trans. Medical Imaging 41(4): 925-936 (2022)
[j59]
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  - journals/tog/ZhaoWZNTSS22
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Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz:
Co-Optimization of Design and Fabrication Plans for Carpentry. ACM Trans. Graph. 41(3): 32:1-32:13 (2022)
[j58]
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Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen, Tuan Nguyen Trung, Niels Aage, Ole Sigmund, Justin Solomon, Jakob Andreas Bærentzen:
Synthesis of Frame Field-Aligned Multi-Laminar Structures. ACM Trans. Graph. 41(5): 170:1-170:20 (2022)
2021
[j57]
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  - journals/cagd/GiannelliL021
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Carlotta Giannelli, Lin Lu, Justin Solomon:
Special issue on 14th International Conference on Geometric Modeling and Processing (GMP2020). Comput. Aided Geom. Des. 84: 101955 (2021)
[j56]
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  - journals/cgf/PalmerSS21
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David R. Palmer, Oded Stein, Justin Solomon:
Frame Field Operators. Comput. Graph. Forum 40(5): 231-245 (2021)
[j55]
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Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon:
Incorporating Unlabeled Data into Distributionally Robust Learning. J. Mach. Learn. Res. 22: 56:1-56:46 (2021)
[j54]
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Yu Wang, Justin Solomon:
Fast quasi-harmonic weights for geometric data interpolation. ACM Trans. Graph. 40(4): 73:1-73:15 (2021)
[j53]
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Dmitriy Smirnov, Justin Solomon:
HodgeNet: learning spectral geometry on triangle meshes. ACM Trans. Graph. 40(4): 166:1-166:11 (2021)
[j52]
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Liane Makatura, Minghao Guo, Adriana Schulz, Justin Solomon, Wojciech Matusik:
Pareto gamuts: exploring optimal designs across varying contexts. ACM Trans. Graph. 40(4): 171:1-171:17 (2021)
[j51]
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Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon:
Sum-of-squares geometry processing. ACM Trans. Graph. 40(6): 253:1-253:13 (2021)
[j50]
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Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon:
Interactive all-hex meshing via cuboid decomposition. ACM Trans. Graph. 40(6): 256:1-256:17 (2021)
2020
[j49]
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Paul Zhang, Daryl R. DeFord, Justin Solomon:
Medial Axis Isoperimetric Profiles. Comput. Graph. Forum 39(5): 1-13 (2020)
[j48]
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Zoë Marschner, David R. Palmer, Paul Zhang, Justin Solomon:
Hexahedral Mesh Repair via Sum-of-Squares Relaxation. Comput. Graph. Forum 39(5): 133-147 (2020)
[j47]
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Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu:
Geometry of Graph Partitions via Optimal Transport. SIAM J. Sci. Comput. 42(5): A3340-A3366 (2020)
[j46]
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David R. Palmer, David Bommes, Justin Solomon:
Algebraic Representations for Volumetric Frame Fields. ACM Trans. Graph. 39(2): 16:1-16:17 (2020)
[j45]
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  - journals/tog/ZhangVCBVS20
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Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon:
Octahedral Frames for Feature-Aligned Cross Fields. ACM Trans. Graph. 39(3): 25:1-25:13 (2020)
2019
[j44]
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  - journals/cgf/RodolaLBBS19
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Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation On Product Manifolds. Comput. Graph. Forum 38(1): 678-689 (2019)
[j43]
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  - journals/siaga/DeFordLSS19
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Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon:
Total Variation Isoperimetric Profiles. SIAM J. Appl. Algebra Geom. 3(4): 585-613 (2019)
[j42]
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  - journals/tog/WangBPS19
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Yu Wang, Mirela Ben-Chen, Iosif Polterovich, Justin Solomon:
Steklov Spectral Geometry for Extrinsic Shape Analysis. ACM Trans. Graph. 38(1): 7:1-7:21 (2019)
[j41]
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  - journals/tog/BessmeltsevS19
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Mikhail Bessmeltsev, Justin Solomon:
Vectorization of Line Drawings via Polyvector Fields. ACM Trans. Graph. 38(1): 9:1-9:12 (2019)
[j40]
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  - journals/tog/EzuzSB19
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Danielle Ezuz, Justin Solomon, Mirela Ben-Chen:
Reversible Harmonic Maps between Discrete Surfaces. ACM Trans. Graph. 38(2): 15:1-15:12 (2019)
[j39]
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Justin Solomon, Amir Vaxman:
Optimal transport-based polar interpolation of directional fields. ACM Trans. Graph. 38(4): 88:1-88:13 (2019)
[j38]
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  - journals/tog/WangSLSBS19
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Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon:
Dynamic Graph CNN for Learning on Point Clouds. ACM Trans. Graph. 38(5): 146:1-146:12 (2019)
2018
[j37]
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Anne Gehre, Michael M. Bronstein, Leif Kobbelt, Justin Solomon:
Interactive Curve Constrained Functional Maps. Comput. Graph. Forum 37(5): 1-12 (2018)
[j36]
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Larry Wang, Anne Gehre, Michael M. Bronstein, Justin Solomon:
Kernel Functional Maps. Comput. Graph. Forum 37(5): 27-36 (2018)
[j35]
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  - journals/siamsc/EssidS18
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Montacer Essid, Justin Solomon:
Quadratically Regularized Optimal Transport on Graphs. SIAM J. Sci. Comput. 40(4): A1961-A1986 (2018)
[j34]
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Heng Liu, Paul Zhang, Edward Chien, Justin Solomon, David Bommes:
Singularity-constrained octahedral fields for hexahedral meshing. ACM Trans. Graph. 37(4): 93 (2018)
[j33]
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  - journals/tog/SchulzWGSM18
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Adriana Schulz, Harrison Wang, Eitan Grinspun, Justin Solomon, Wojciech Matusik:
Interactive exploration of design trade-offs. ACM Trans. Graph. 37(4): 131 (2018)
[j32]
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Minchen Li, Danny M. Kaufman, Vladimir G. Kim, Justin Solomon, Alla Sheffer:
OptCuts: joint optimization of surface cuts and parameterization. ACM Trans. Graph. 37(6): 247 (2018)
[j31]
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  - journals/tog/LavenantCCS18
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Hugo Lavenant, Sebastian Claici, Edward Chien, Justin Solomon:
Dynamical optimal transport on discrete surfaces. ACM Trans. Graph. 37(6): 250 (2018)
2017
[j30]
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  - journals/cgf/BerkitenHSMLR17
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Sema Berkiten, Maciej Halber, Justin Solomon, Chongyang Ma, Hao Li, Szymon Rusinkiewicz:
Learning Detail Transfer based on Geometric Features. Comput. Graph. Forum 36(2): 361-373 (2017)
[j29]
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  - journals/cgf/ClaiciBSS17
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Sebastian Claici, Mikhail Bessmeltsev, Scott Schaefer, Justin Solomon:
Isometry-Aware Preconditioning for Mesh Parameterization. Comput. Graph. Forum 36(5): 37-47 (2017)
[j28]
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Danielle Ezuz, Justin Solomon, Vladimir G. Kim, Mirela Ben-Chen:
GWCNN: A Metric Alignment Layer for Deep Shape Analysis. Comput. Graph. Forum 36(5): 49-57 (2017)
[j27]
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  - journals/tog/CormanSBGO17
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Etienne Corman, Justin Solomon, Mirela Ben-Chen, Leonidas J. Guibas, Maks Ovsjanikov:
Functional Characterization of Intrinsic and Extrinsic Geometry. ACM Trans. Graph. 36(2): 14:1-14:17 (2017)
[j26]
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Justin Solomon, Amir Vaxman, David Bommes:
Boundary Element Octahedral Fields in Volumes. ACM Trans. Graph. 36(3): 28:1-28:16 (2017)
2016
[j25]
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Michael Tao, Justin Solomon, Adrian Butscher:
Near-Isometric Level Set Tracking. Comput. Graph. Forum 35(5): 65-77 (2016)
[j24]
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Justin Solomon, Gabriel Peyré, Vladimir G. Kim, Suvrit Sra:
Entropic metric alignment for correspondence problems. ACM Trans. Graph. 35(4): 72:1-72:13 (2016)
2015
[j23]
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Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas J. Guibas:
Convolutional wasserstein distances: efficient optimal transportation on geometric domains. ACM Trans. Graph. 34(4): 66:1-66:11 (2015)
2014
[j22]
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Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher:
Earth mover's distances on discrete surfaces. ACM Trans. Graph. 33(4): 67:1-67:12 (2014)
[j21]
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  - journals/tog/ZhuQCSF14
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Bo Zhu, Ed Quigley, Matthew Cong, Justin Solomon, Ronald Fedkiw:
Codimensional surface tension flow on simplicial complexes. ACM Trans. Graph. 33(4): 111:1-111:11 (2014)
2013
[j20]
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Justin Solomon, Leonidas J. Guibas, Adrian Butscher:
Dirichlet Energy for Analysis and Synthesis of Soft Maps. Comput. Graph. Forum 32(5): 197-206 (2013)
2012
[j19]
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Justin Solomon, Etienne Vouga, Max Wardetzky, Eitan Grinspun:
Flexible Developable Surfaces. Comput. Graph. Forum 31(5): 1567-1576 (2012)
[j18]
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Justin Solomon, Andy Nguyen, Adrian Butscher, Mirela Ben-Chen, Leonidas J. Guibas:
Soft Maps Between Surfaces. Comput. Graph. Forum 31(5): 1617-1626 (2012)
[j17]
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Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher, Leonidas J. Guibas:
Functional maps: a flexible representation of maps between shapes. ACM Trans. Graph. 31(4): 30:1-30:11 (2012)
2011
[j16]
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Justin Solomon, Mirela Ben-Chen, Adrian Butscher, Leonidas J. Guibas:
Discovery of Intrinsic Primitives on Triangle Meshes. Comput. Graph. Forum 30(2): 365-374 (2011)
[j15]
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Justin Solomon, Mirela Ben-Chen, Adrian Butscher, Leonidas J. Guibas:
As-Killing-As-Possible Vector Fields for Planar Deformation. Comput. Graph. Forum 30(5): 1543-1552 (2011)
2010
[j14]
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Mirela Ben-Chen, Adrian Butscher, Justin Solomon, Leonidas J. Guibas:
On Discrete Killing Vector Fields and Patterns on Surfaces. Comput. Graph. Forum 29(5): 1701-1711 (2010)
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Michael Kass, Justin Solomon:
Smoothed local histogram filters. ACM Trans. Graph. 29(4): 100:1-100:10 (2010)
2009
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Justin Solomon:
Introduction. ACM Crossroads 15(3): 2 (2009)
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Justin Solomon:
Introduction. ACM Crossroads 15(4) (2009)
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Justin Solomon:
Introduction: maxed out? ACM Crossroads 16(1): 2 (2009)
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Justin Solomon:
Programmers, Professors, and Parasites: Credit and Co-Authorship in Computer Science. Sci. Eng. Ethics 15(4): 467-489 (2009)
2008
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Justin Solomon:
Introduction. ACM Crossroads 14(3): 2 (2008)
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Justin Solomon:
Introduction. ACM Crossroads 14(4): 2 (2008)
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Justin Solomon:
Introduction. ACM Crossroads 15(1): 2 (2008)
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Justin Solomon:
Introduction. ACM Crossroads 15(2): 2 (2008)
2007
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Justin Solomon:
SIGGRAPH 2006: exploring the art and science of computer graphics. ACM Crossroads 13(3): 3 (2007)
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Justin Solomon:
The science of shape: revolutionizing graphics and vision with the third dimension. ACM Crossroads 13(4): 10 (2007)
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Justin Solomon:
Introduction. ACM Crossroads 14(2) (2007)
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Justin Solomon:
Putting the science into computer science: treating introductory computer science as the study of algorithms. ACM SIGCSE Bull. 39(2): 46-49 (2007)

Conference and Workshop Papers

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2024
[c41]
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Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon:
Slicing Mutual Information Generalization Bounds for Neural Networks. ICML 2024
[c40]
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Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon:
Asymmetry in Low-Rank Adapters of Foundation Models. ICML 2024
2023
[c39]
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Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. ICLR 2023
[c38]
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Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon:
Sampling with Mollified Interaction Energy Descent. ICLR 2023
[c37]
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Christopher Scarvelis, Justin Solomon:
Riemannian Metric Learning via Optimal Transport. ICLR 2023
[c36]
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Lingxiao Li, Samuel Hurault, Justin M. Solomon:
Self-Consistent Velocity Matching of Probability Flows. NeurIPS 2023
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  - conf/siggraph/EdelsteinG0B23
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Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen:
A Convex Optimization Framework for Regularized Geodesic Distances. SIGGRAPH (Conference Paper Track) 2023: 2:1-2:11
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Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon:
Data-Free Learning of Reduced-Order Kinematics. SIGGRAPH (Conference Paper Track) 2023: 40:1-40:9
[c33]
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Paul Zhang, Zoë Marschner, Justin Solomon, Rasmus Tamstorf:
Sum-of-Squares Collision Detection for Curved Shapes and Paths. SIGGRAPH (Conference Paper Track) 2023: 76:1-76:11
2022
[c32]
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Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon:
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. CoRL 2022: 1277-1288
[c31]
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David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon:
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CVPR 2022: 18644-18654
[c30]
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Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon:
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. ICML 2022: 20106-20124
2021
[c29]
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Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon:
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRL 2021: 180-191
[c28]
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Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Extraction by Frame Field Learning. CVPR 2021: 5891-5900
[c27]
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Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon:
Learning Manifold Patch-Based Representations of Man-Made Shapes. ICLR 2021
[c26]
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Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. ICLR 2021
[c25]
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Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin:
Outlier-Robust Optimal Transport. ICML 2021: 7850-7860
[c24]
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Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon:
MarioNette: Self-Supervised Sprite Learning. NeurIPS 2021: 5494-5505
[c23]
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Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Alexander Filippov, Evgeny Burnaev:
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. NeurIPS 2021: 14593-14605
[c22]
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Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. NeurIPS 2021: 15243-15256
[c21]
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Yue Wang, Justin M. Solomon:
Object DGCNN: 3D Object Detection using Dynamic Graphs. NeurIPS 2021: 20745-20758
[c20]
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Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon:
Improving approximate optimal transport distances using quantization. UAI 2021: 290-300
2020
[c19]
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Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567
[c18]
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Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon:
Pillar-Based Object Detection for Autonomous Driving. ECCV (22) 2020: 18-34
[c17]
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Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon:
Model Fusion with Kullback-Leibler Divergence. ICML 2020: 2038-2047
[c16]
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Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Regularized Building Segmentation by Frame Field Learning. IGARSS 2020: 1805-1808
[c15]
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Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin M. Solomon:
Continuous Regularized Wasserstein Barycenters. NeurIPS 2020
2019
[c14]
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Yue Wang, Justin Solomon:
Deep Closest Point: Learning Representations for Point Cloud Registration. ICCV 2019: 3522-3531
[c13]
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Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. ICLR (Poster) 2019
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Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. MICCAI (4) 2019: 39-47
[c11]
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Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon:
Hierarchical Optimal Transport for Document Representation. NeurIPS 2019: 1599-1609
[c10]
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Yue Wang, Justin M. Solomon:
PRNet: Self-Supervised Learning for Partial-to-Partial Registration. NeurIPS 2019: 8812-8824
[c9]
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Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. NeurIPS 2019: 13612-13622
2018
[c8]
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Sebastian Claici, Edward Chien, Justin Solomon:
Stochastic Wasserstein Barycenters. ICML 2018: 998-1007
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  - conf/sgp/RodolaLBBS18
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Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps on Product Manifolds. SGP (Posters) 2018: 9-10
2017
[c6]
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Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka:
Parallel Streaming Wasserstein Barycenters. NIPS 2017: 2647-2658
2016
[c5]
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Gabriel Peyré, Marco Cuturi, Justin Solomon:
Gromov-Wasserstein Averaging of Kernel and Distance Matrices. ICML 2016: 2664-2672
2015
[c4]
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Wei-Lun Chao, Justin Solomon, Dominik L. Michels, Fei Sha:
Exponential Integration for Hamiltonian Monte Carlo. ICML 2015: 1142-1151
2014
[c3]
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Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher:
Wasserstein Propagation for Semi-Supervised Learning. ICML 2014: 306-314
2012
[c2]
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Antoine Vacavant, Adelaide Albouy-Kissi, Pierre-Yves Menguy, Justin Solomon:
Fast smoothed shock filtering. ICPR 2012: 182-185
2007
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Justin Solomon:
Fast and accurate estimation of principal curvatures and directions for morphable models. SIGGRAPH Posters 2007: 22

Informal and Other Publications

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2024
[i84]
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Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon:
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR abs/2402.16842 (2024)
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David R. Palmer, Albert Chern, Justin Solomon:
Lifting Directional Fields to Minimal Sections. CoRR abs/2405.03853 (2024)
[i82]
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  - journals/corr/abs-2405-14544
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Christopher Scarvelis, Justin Solomon:
Nuclear Norm Regularization for Deep Learning. CoRR abs/2405.14544 (2024)
[i81]
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Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon:
Score Distillation via Reparametrized DDIM. CoRR abs/2405.15891 (2024)
[i80]
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Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein:
Robust Biharmonic Skinning Using Geometric Fields. CoRR abs/2406.00238 (2024)
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Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon:
Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR abs/2406.04047 (2024)
[i78]
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Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR abs/2407.00066 (2024)
2023
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Lingxiao Li, Samuel Hurault, Justin Solomon:
Self-Consistent Velocity Matching of Probability Flows. CoRR abs/2301.13737 (2023)
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Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon:
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR abs/2303.14537 (2023)
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Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon:
Data-Free Learning of Reduced-Order Kinematics. CoRR abs/2305.03846 (2023)
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Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen:
A Convex Optimization Framework for Regularized Geodesic Distances. CoRR abs/2305.13101 (2023)
[i73]
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Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin:
Large Language Model Routing with Benchmark Datasets. CoRR abs/2309.15789 (2023)
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Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon:
GeRA: Label-Efficient Geometrically Regularized Alignment. CoRR abs/2310.00672 (2023)
[i71]
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Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon:
Variational Barycentric Coordinates. CoRR abs/2310.03861 (2023)
[i70]
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Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon:
Closed-Form Diffusion Models. CoRR abs/2310.12395 (2023)
[i69]
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Leticia Mattos Da Silva, Oded Stein, Justin Solomon:
A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains. CoRR abs/2312.00327 (2023)
2022
[i68]
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Paul Zhang, Dmitriy Smirnov, Justin Solomon:
Wassersplines for Stylized Neural Animation. CoRR abs/2201.11940 (2022)
[i67]
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Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. CoRR abs/2201.11945 (2022)
[i66]
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Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon:
Rewiring with Positional Encodings for Graph Neural Networks. CoRR abs/2201.12674 (2022)
[i65]
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  - journals/corr/abs-2202-01671
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Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin Solomon:
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. CoRR abs/2202.01671 (2022)
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S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon:
Symmetric Volume Maps. CoRR abs/2202.02568 (2022)
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Christopher Scarvelis, Justin Solomon:
Riemannian Metric Learning via Optimal Transport. CoRR abs/2205.09244 (2022)
[i62]
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Georgia Shay, Justin Solomon, Oded Stein:
A Dataset and Benchmark for Mesh Parameterization. CoRR abs/2208.01772 (2022)
[i61]
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Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin:
Outlier-Robust Group Inference via Gradient Space Clustering. CoRR abs/2210.06759 (2022)
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Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon:
Sampling with Mollified Interaction Energy Descent. CoRR abs/2210.13400 (2022)
2021
[i59]
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Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. CoRR abs/2102.01752 (2021)
[i58]
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Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon:
Improving Approximate Optimal Transport Distances using Quantization. CoRR abs/2102.12731 (2021)
[i57]
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Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen, Niels Aage, Ole Sigmund, Justin Solomon, Jakob Andreas Bærentzen:
Synthesis of Frame Field-Aligned Multi-Laminar Structures. CoRR abs/2104.05550 (2021)
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Dmitriy Smirnov, Justin M. Solomon:
HodgeNet: Learning Spectral Geometry on Triangle Meshes. CoRR abs/2104.12826 (2021)
[i55]
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Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. CoRR abs/2104.14553 (2021)
[i54]
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Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. CoRR abs/2106.00736 (2021)
[i53]
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Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev:
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. CoRR abs/2106.01954 (2021)
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Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien:
k-Mixup Regularization for Deep Learning via Optimal Transport. CoRR abs/2106.02933 (2021)
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David R. Palmer, Oded Stein, Justin Solomon:
Frame Field Operators. CoRR abs/2106.14360 (2021)
[i50]
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Oded Stein, Jiajin Li, Justin Solomon:
A Splitting Scheme for Flip-Free Distortion Energies. CoRR abs/2107.05200 (2021)
[i49]
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Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz:
Co-Optimization of Design and Fabrication Plans for Carpentry. CoRR abs/2107.12265 (2021)
[i48]
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Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz:
Co-Optimization of Design and Fabrication Plans for Carpentry: Supplemental Material. CoRR abs/2107.14745 (2021)
[i47]
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  - journals/corr/abs-2109-06279
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Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon:
Interactive All-Hex Meshing via Cuboid Decomposition. CoRR abs/2109.06279 (2021)
[i46]
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  - journals/corr/abs-2110-06922
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Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon:
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRR abs/2110.06922 (2021)
[i45]
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Yue Wang, Justin Solomon:
Object DGCNN: 3D Object Detection using Dynamic Graphs. CoRR abs/2110.06923 (2021)
[i44]
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Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon:
Sum-of-Squares Geometry Processing. CoRR abs/2110.08451 (2021)
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S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Volumetric Parameterization of the Placenta to a Flattened Template. CoRR abs/2111.07900 (2021)
[i42]
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David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon:
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CoRR abs/2111.09383 (2021)
2020
[i41]
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  - journals/corr/abs-2004-14875
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Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Segmentation by Frame Field Learning. CoRR abs/2004.14875 (2020)
[i40]
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Daryl R. DeFord, Moon Duchin, Justin Solomon:
A Computational Approach to Measuring Vote Elasticity and Competitiveness. CoRR abs/2005.12731 (2020)
[i39]
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Paul Zhang, Daryl R. DeFord, Justin Solomon:
Medial Axis Isoperimetric Profiles. CoRR abs/2007.01428 (2020)
[i38]
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Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon:
Model Fusion with Kullback-Leibler Divergence. CoRR abs/2007.06168 (2020)
[i37]
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Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon:
Octahedral Frames for Feature-Aligned Cross-Fields. CoRR abs/2007.09740 (2020)
[i36]
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Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon:
Pillar-based Object Detection for Autonomous Driving. CoRR abs/2007.10323 (2020)
[i35]
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  - journals/corr/abs-2008-12534
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Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon:
Continuous Regularized Wasserstein Barycenters. CoRR abs/2008.12534 (2020)
[i34]
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  - journals/corr/abs-2009-11859
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Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon:
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection. CoRR abs/2009.11859 (2020)
[i33]
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  - journals/corr/abs-2011-09504
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Amariah Becker, Justin Solomon:
Redistricting Algorithms. CoRR abs/2011.09504 (2020)
[i32]
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  - journals/corr/abs-2012-06958
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Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja:
k-Variance: A Clustered Notion of Variance. CoRR abs/2012.06958 (2020)
2019
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Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. CoRR abs/1903.05044 (2019)
[i30]
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Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019)
[i29]
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Yue Wang, Justin M. Solomon:
Deep Closest Point: Learning Representations for Point Cloud Registration. CoRR abs/1905.03304 (2019)
[i28]
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Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. CoRR abs/1905.03329 (2019)
[i27]
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  - journals/corr/abs-1906-06763
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Trevor Henderson, Justin Solomon:
Audio Transport: A Generalized Portamento via Optimal Transport. CoRR abs/1906.06763 (2019)
[i26]
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Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon:
Hierarchical Optimal Transport for Document Representation. CoRR abs/1906.10827 (2019)
[i25]
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Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon:
Deep Sketch-Based Modeling of Man-Made Shapes. CoRR abs/1906.12337 (2019)
[i24]
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  - journals/corr/abs-1908-05411
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David R. Palmer, David Bommes, Justin Solomon:
Algebraic Representations for Volumetric Frame Fields. CoRR abs/1908.05411 (2019)
[i23]
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Lorenzo Najt, Daryl R. DeFord, Justin Solomon:
Complexity and Geometry of Sampling Connected Graph Partitions. CoRR abs/1908.08881 (2019)
[i22]
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  - journals/corr/abs-1910-09618
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Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu:
Geometry of Graph Partitions via Optimal Transport. CoRR abs/1910.09618 (2019)
[i21]
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  - journals/corr/abs-1910-12240
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Yue Wang, Justin M. Solomon:
PRNet: Self-Supervised Learning for Partial-to-Partial Registration. CoRR abs/1910.12240 (2019)
[i20]
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  - journals/corr/abs-1911-02053
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Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. CoRR abs/1911.02053 (2019)
[i19]
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Daryl R. DeFord, Moon Duchin, Justin Solomon:
Recombination: A family of Markov chains for redistricting. CoRR abs/1911.05725 (2019)
[i18]
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  - journals/corr/abs-1912-07729
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Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon:
Incorporating Unlabeled Data into Distributionally Robust Learning. CoRR abs/1912.07729 (2019)
2018
[i17]
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Mikhail Bessmeltsev, Justin Solomon:
Vectorization of Line Drawings via PolyVector Fields. CoRR abs/1801.01922 (2018)
[i16]
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Danielle Ezuz, Justin Solomon, Mirela Ben-Chen:
Reversible Harmonic Maps between Discrete Surfaces. CoRR abs/1801.02453 (2018)
[i15]
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Justin Solomon:
Optimal Transport on Discrete Domains. CoRR abs/1801.07745 (2018)
[i14]
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Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon:
Dynamic Graph CNN for Learning on Point Clouds. CoRR abs/1801.07829 (2018)
[i13]
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Sebastian Claici, Edward Chien, Justin Solomon:
Stochastic Wasserstein Barycenters. CoRR abs/1802.05757 (2018)
[i12]
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  - journals/corr/abs-1803-02857
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Richard Barnes, Justin Solomon:
Gerrymandering and Compactness: Implementation Flexibility and Abuse. CoRR abs/1803.02857 (2018)
[i11]
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Sebastian Claici, Justin Solomon:
Wasserstein Coresets for Lipschitz Costs. CoRR abs/1805.07412 (2018)
[i10]
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  - journals/corr/abs-1809-07083
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Hugo Lavenant, Sebastian Claici, Edward Chien, Justin Solomon:
Dynamical Optimal Transport on Discrete Surfaces. CoRR abs/1809.07083 (2018)
[i9]
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  - journals/corr/abs-1809-07943
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Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon:
Total Variation Isoperimetric Profiles. CoRR abs/1809.07943 (2018)
[i8]
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  - journals/corr/abs-1809-10940
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Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation on Product Manifolds. CoRR abs/1809.10940 (2018)
2017
[i7]
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Montacer Essid, Justin Solomon:
Quadratically-Regularized Optimal Transport on Graphs. CoRR abs/1704.08200 (2017)
[i6]
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  - journals/corr/StaibCSJ17
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Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka:
Parallel Streaming Wasserstein Barycenters. CoRR abs/1705.07443 (2017)
[i5]
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Yu Wang, Mirela Ben-Chen, Iosif Polterovich, Justin Solomon:
Steklov Geometry Processing: An Extrinsic Approach to Spectral Shape Analysis. CoRR abs/1707.07070 (2017)
2016
[i4]
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  - journals/corr/SolomonRGB16
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Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher:
Continuous-Flow Graph Transportation Distances. CoRR abs/1603.06927 (2016)
[i3]
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  - journals/corr/PeyreCVS16
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Gabriel Peyré, Lenaïc Chizat, François-Xavier Vialard, Justin Solomon:
Quantum Optimal Transport for Tensor Field Processing. CoRR abs/1612.08731 (2016)
2015
[i2]
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  - journals/corr/Solomon15
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Justin Solomon:
PDE Approaches to Graph Analysis. CoRR abs/1505.00185 (2015)
2014
[i1]
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  - journals/corr/SolomonCBW14
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Justin Solomon, Keenan Crane, Adrian Butscher, Chris Wojtan:
A General Framework for Bilateral and Mean Shift Filtering. CoRR abs/1405.4734 (2014)

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