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Publication search results
found 57 matches
- 2024
- Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andrés Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar
, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat S. Chaudhari, Ronald Criollo, David Cuartielles, José A. Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales C. Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi:
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia 2024: 508-515 - 2023
- Aleksandra Ciprijanovic
, Ashia Lewis
, Kevin Pedro
, Sandeep Madireddy
, Brian Nord
, Gabriel N. Perdue
, Stefan M. Wild
:
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. Mach. Learn. Sci. Technol. 4(2): 25013 (2023) - Davide Piras
, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
:
A robust estimator of mutual information for deep learning interpretability. Mach. Learn. Sci. Technol. 4(2): 25006 (2023) - Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy
, Brian Nord
, Gabriel N. Perdue, Stefan M. Wild:
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR abs/2302.02005 (2023) - Samuel D. McDermott, Maggie Voetberg, Brian Nord:
WavPool: A New Block for Deep Neural Networks. CoRR abs/2306.08734 (2023) - Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord
, Joshua E. G. Peek, M. Walmsley, John F. Wu
, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen Ting
, G. van de Ven, S. Villar, V. A. Villar, E. Zinger:
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR abs/2310.12528 (2023) - Andrea Roncoli, Aleksandra Ciprijanovic, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord
:
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets. CoRR abs/2311.01588 (2023) - Franco Terranova, Maggie Voetberg, Brian Nord
, Amanda Pagul:
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning. CoRR abs/2311.18094 (2023) - 2022
- Dimitrios Tanoglidis, Aleksandra Ciprijanovic
, Alex Drlica-Wagner, Brian Nord
, Michael H. L. S. Wang
, A. Jacob Amsellem, K. Downey, S. Jenkins, Diana Kafkes, Z. Zhang:
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. Astron. Comput. 39: 100580 (2022) - Aleksandra Ciprijanovic
, Diana Kafkes
, Gregory F. Snyder
, F. Javier Sánchez
, Gabriel Nathan Perdue
, Kevin Pedro
, Brian Nord
, Sandeep Madireddy
, Stefan M. Wild
:
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. Mach. Learn. Sci. Technol. 3(3): 35007 (2022) - Gourav Khullar
, Brian Nord
, Aleksandra Ciprijanovic
, Jason Poh
, Fei Xu:
DIGS: deep inference of galaxy spectra with neural posterior estimation. Mach. Learn. Sci. Technol. 3(4): 4 (2022) - Brandon A. Zielinski, Derek S. Andrews, Joshua K. Lee, Marjorie Solomon, Sally J. Rogers
, Brianna Heath, Christine Wu Nordahl, David G. Amaral:
Sex-dependent structure of socioemotional salience, executive control, and default mode networks in preschool-aged children with autism. NeuroImage 257: 119252 (2022) - Brian Zahnstecher, Earl McCune, Doug Kirkpatrick, Rick Booth, Kirk Bresniker, Lin Nease, Anirban Bandyopadhyay, Bruce Nordman, Francesco Carobolante, Magnus Olsson, Emil Björnson, Laurence McGarry, Steve Allen, Paul Draxler, Frederica Darema, Mohamed-Slim Alouini
:
INGR Energy Efficiency Roadmap - 2022 Edition. FNWF 2022: 1170-1302 - Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord
, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ciprijanovic, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, Francisco Villaescusa-Navarro:
Machine Learning and Cosmology. CoRR abs/2203.08056 (2022) - Fengxue Zhang, Brian Nord
, Yuxin Chen:
Learning Representation for Bayesian Optimization with Collision-free Regularization. CoRR abs/2203.08656 (2022) - Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord
, Jeyan Thiyagalingam, Davide Piras:
Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR abs/2203.08827 (2022) - Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord
, Nesar Ramachandra:
Interpretable Uncertainty Quantification in AI for HEP. CoRR abs/2208.03284 (2022) - Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
:
A robust estimator of mutual information for deep learning interpretability. CoRR abs/2211.00024 (2022) - Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy
, Brian Nord
, Gabriel N. Perdue, Stefan M. Wild:
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR abs/2211.00677 (2022) - Egor Danilov, Aleksandra Ciprijanovic, Brian Nord
:
Neural Inference of Gaussian Processes for Time Series Data of Quasars. CoRR abs/2211.10305 (2022) - 2021
- Cici Alexander, Geoff Groom
, Sanna Kaasalainen, Freysteinn Sigmundsson
:
Special issue on Nordic Remote Sensing: Data acquisition, algorithms and applications. Int. J. Appl. Earth Obs. Geoinformation 104: 102562 (2021) - Chihway L. Chang
, Alex Drlica-Wagner, S. M. Kent, Brian Nord
, Donah Michelle Wang, Michael H. L. S. Wang:
A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images. Astron. Comput. 36: 100474 (2021) - Adam Amara, Lucia de la Bella, Simon Birrer, Sarah Bridle, Juan Cordero, Ginevra Favole, Ian Harrison, Ian Harry, William G. Hartley, Coleman Krawczyk, Andrew Lundgren, Brian Nord, Laura Nuttall, Richard Rollins, Philipp Sudek, Sut-Ieng Tam, Nicolas Tessore, Arthur Tolley, Keiichi Umetsu, Andrew Williamson, Laura Wolz:
SkyPy: A package for modelling the Universe. J. Open Source Softw. 6(68): 3056 (2021) - Robert Morgan
, Brian Nord
, Simon Birrer
, Joshua Yao-Yu Lin
, Jason Poh
:
deeplenstronomy: A dataset simulation package for strong gravitational lensing. J. Open Source Softw. 6(58): 2854 (2021) - João Caldeira
, Brian Nord
:
Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms. Mach. Learn. Sci. Technol. 2(1): 15002 (2021) - Faryad Sahneh, Meghan A. Balk
, Marina Kisley
, Chi-Kwan Chan
, Mercury Fox, Brian Nord
, Eric Lyons
, Tyson Lee Swetnam
, Daniela Huppenkothen
, Will Sutherland
, Ramona L. Walls, Daven P. Quinn
, Tonantzin Tarin, David S. LeBauer
, David Ribes, Dunbar P. Birnie III, Carol Lushbough, Eric Carr, Grey Nearing, Jeremy Fischer, Kevin Tyle, Luis Carrasco, Meagan Lang, Peter W. Rose
, Richard R. Rushforth, Samapriya Roy
, Thomas Matheson
, Tina Lee, C. Titus Brown, Tracy K. Teal, Monica Papes
, Stephen G. Kobourov, Nirav C. Merchant:
Ten simple rules to cultivate transdisciplinary collaboration in data science. PLoS Comput. Biol. 17(5) (2021) - Zhen Lin, Nicholas Huang
, Camille Avestruz
, W. L. Kimmy Wu, Shubhendu Trivedi, João Caldeira, Brian Nord:
DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning. CoRR abs/2102.13123 (2021) - Aleksandra Ciprijanovic
, Diana Kafkes, K. Downey, S. Jenkins, Gabriel N. Perdue, Sandeep Madireddy
, T. Johnston, Gregory F. Snyder, Brian Nord:
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains. CoRR abs/2103.01373 (2021) - Miles D. Cranmer
, Peter Melchior, Brian Nord:
Unsupervised Resource Allocation with Graph Neural Networks. CoRR abs/2106.09761 (2021) - Aleksandra Ciprijanovic
, Diana Kafkes, Gabriel N. Perdue, Kevin Pedro
, Gregory F. Snyder, F. Javier Sánchez, Sandeep Madireddy, Stefan M. Wild, Brian Nord:
Robustness of deep learning algorithms in astronomy - galaxy morphology studies. CoRR abs/2111.00961 (2021)
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