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ORCIDCarla P. Gomes
Carla Pedro Gomes – Carla Gomes 0001
Person information
- affiliation: Cornell University, Department of Computer Science, Canada
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2020 – today
- 2024
[c166]Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes:
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI 2024: 283-291- [c165]Marc Grimson, Rafael Almeida, Qinru Shi, Yiwei Bai, Hector Angarita, Felipe Siqueira Pacheco, Rafael Schmitt, Alexander Flecker, Carla P. Gomes:
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon. AAAI 2024: 22067-22075 - [c164]Zhongdi Qu, Marc Grimson, Yue Mao, Sebastian Heilpern, Imanol Miqueleiz, Felipe Siqueira Pacheco, Alexander Flecker, Carla P. Gomes:
Strategies for Compressing the Pareto Frontier: Application to Strategic Planning of Hydropower in the Amazon Basin. CPAIOR (2) 2024: 141-157 - [i67]Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortol, Haorui Wang, Dongxia Wu, Aaron Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang:
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. CoRR abs/2402.18012 (2024) - [i66]Yimeng Min, Carla P. Gomes:
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem. CoRR abs/2403.20212 (2024) - [i65]Chenru Duan, Guan-Horng Liu, Yuanqi Du, Tianrong Chen, Qiyuan Zhao, Haojun Jia, Carla P. Gomes, Evangelos A. Theodorou, Heather J. Kulik:
React-OT: Optimal Transport for Generating Transition State in Chemical Reactions. CoRR abs/2404.13430 (2024) - [i64]Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger:
On Speeding Up Language Model Evaluation. CoRR abs/2407.06172 (2024) - [i63]Brendan H. Rappazzo, Aaron Ferber, Carla P. Gomes:
Critic Loss for Image Classification. CoRR abs/2409.15565 (2024) - [i62]Brendan H. Rappazzo, Yingheng Wang, Aaron Ferber, Carla P. Gomes:
GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation. CoRR abs/2409.15566 (2024) - [i61]Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noé, Carla P. Gomes, Alán Aspuru-Guzik, Kirill Neklyudov:
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling. CoRR abs/2410.07974 (2024) - [i60]Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco, Laura Greenstreet, Joshua Fan, Aaron Ferber, Marta Ummus, Alecsander Brito, Olivia J. Graham, Lillian R. Aoki, Drew Harvell, Alex Flecker, Carla P. Gomes:
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification. CoRR abs/2410.21480 (2024) - 2023
- [j34]David Rolnick
, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55(2): 42:1-42:96 (2023) - [j33]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [c163]Jinzhao Li, Daniel Fink, Christopher Wood, Carla P. Gomes, Yexiang Xue:
Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces. AAMAS 2023: 756-765 - [c162]Renee Mirka, Laura Greenstreet, Marc Grimson, Carla P. Gomes:
A New Approach to Finding 2 x n Partially Spatially Balanced Latin Rectangles (Short Paper). CP 2023: 47:1-47:11 - [c161]Yiwei Bai, Qinru Shi, Marc Grimson, Alexander Flecker, Carla P. Gomes:
Efficiently Approximating High-Dimensional Pareto Frontiers for Tree-Structured Networks Using Expansion and Compression. CPAIOR 2023: 1-17 - [c160]Carla Pedro Gomes:
AI for Scientific Discovery and a Sustainable Future. GECCO 2023: 2 - [c159]Dieqiao Feng, Yuanqi Du, Carla P. Gomes, Bart Selman:
Weighted Sampling without Replacement for Deep Top-k Classification. ICML 2023: 9910-9920 - [c158]Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes:
Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. ICMLA 2023: 392-399 - [c157]Shufeng Kong, Caihua Liu, Carla P. Gomes:
IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. STRL@IJCAI 2023 - [c156]Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma:
A new perspective on building efficient and expressive 3D equivariant graph neural networks. NeurIPS 2023 - [c155]Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla Pedro Gomes:
M2Hub: Unlocking the Potential of Machine Learning for Materials Discovery. NeurIPS 2023 - [c154]Yimeng Min, Yiwei Bai, Carla P. Gomes:
Unsupervised Learning for Solving the Travelling Salesman Problem. NeurIPS 2023 - [c153]Carla P. Gomes:
Keynote: AI for Scientific Discovery and a Sustainable Future. PERCOM 2023: 1 - [i59]Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes:
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. CoRR abs/2302.01486 (2023) - [i58]Yimeng Min, Yiwei Bai, Carla P. Gomes:
Unsupervised Learning for Solving the Travelling Salesman Problem. CoRR abs/2303.10538 (2023) - [i57]Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma:
A new perspective on building efficient and expressive 3D equivariant graph neural networks. CoRR abs/2304.04757 (2023) - [i56]Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla P. Gomes:
M2Hub: Unlocking the Potential of Machine Learning for Materials Discovery. CoRR abs/2307.05378 (2023) - [i55]Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King:
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR abs/2307.07522 (2023) - [i54]Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson:
Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research. CoRR abs/2308.07897 (2023) - 2022
- [j32]Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud:
Efficient projection algorithms onto the weighted ℓ1 ball. Artif. Intell. 306: 103683 (2022) - [c152]Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes:
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. AAAI 2022: 11873-11881 - [c151]John Paul Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle:
The Fast Kernel Transform. AISTATS 2022: 11669-11690 - [c150]Sebastian Ament, Carla P. Gomes:
Generalized Matching Pursuits for the Sparse Optimization of Separable Objectives. ICASSP 2022: 5553-5557 - [c149]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. ICLR 2022 - [c148]Sebastian E. Ament, Carla P. Gomes:
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. ICML 2022: 500-516 - [c147]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML 2022: 1383-1398 - [c146]Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes:
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net. IJCAI 2022: 5066-5072 - [c145]Dieqiao Feng, Carla P. Gomes, Bart Selman:
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning. NeurIPS 2022 - [i53]Sebastian Ament, Carla P. Gomes:
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. CoRR abs/2206.08366 (2022) - [i52]Dieqiao Feng, Carla P. Gomes, Bart Selman:
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning. CoRR abs/2206.14298 (2022) - [i51]Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes:
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net. CoRR abs/2207.08022 (2022) - [i50]Dieqiao Feng, Carla P. Gomes, Bart Selman:
Graph Value Iteration. CoRR abs/2209.09608 (2022) - [i49]Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia:
Structure-based Drug Design with Equivariant Diffusion Models. CoRR abs/2210.13695 (2022) - 2021
- [j31]Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning. Nat. Mach. Intell. 3(9): 812-822 (2021) - [c144]Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes:
Characterizing the Loss Landscape in Non-Negative Matrix Factorization. AAAI 2021: 6768-6776 - [c143]Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes:
Understanding Decoupled and Early Weight Decay. AAAI 2021: 6777-6785 - [c142]Johan Bjorck, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes:
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility. AAAI 2021: 14702-14710 - [c141]Johan Bjorck, Brendan H. Rappazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes:
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing. AAAI 2021: 14711-14720 - [c140]Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes:
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. AAAI 2021: 15016-15024 - [c139]Brendan H. Rappazzo, Morgan E. Eisenlord, Olivia J. Graham, Lillian R. Aoki, Phoebe D. Dawkins, Drew Harvell, Carla P. Gomes:
EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease. AAAI 2021: 15156-15165 - [c138]Yiwei Bai, Di Chen, Carla P. Gomes:
CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games. CP 2021: 17:1-17:14 - [c137]Sebastian Ament, Carla P. Gomes:
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. ICASSP 2021: 5599-5603 - [c136]Sebastian E. Ament, Carla P. Gomes:
Sparse Bayesian Learning via Stepwise Regression. ICML 2021: 264-274 - [c135]Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger:
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision. ICML 2021: 980-991 - [c134]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Towards Deeper Deep Reinforcement Learning with Spectral Normalization. NeurIPS 2021: 8242-8255 - [c133]Junwen Bai, Weiran Wang, Carla P. Gomes:
Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS 2021: 10105-10118 - [c132]Carla P. Gomes:
Keynote 2 - Computational Sustainability: Computing for a Better World and a Sustainable Future. SMARTCOMP 2021: 25-26 - [p4]Carla P. Gomes, Ashish Sabharwal:
Exploiting Runtime Variation in Complete Solvers. Handbook of Satisfiability 2021: 463-480 - [p3]Carla P. Gomes, Ashish Sabharwal, Bart Selman:
Model Counting. Handbook of Satisfiability 2021: 993-1014 - [i48]Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover:
Autonomous synthesis of metastable materials. CoRR abs/2101.07385 (2021) - [i47]Yiwei Bai, Wenting Zhao, Carla P. Gomes:
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems. CoRR abs/2102.03002 (2021) - [i46]Wenting Zhao, Carla P. Gomes:
Evaluating Multi-label Classifiers with Noisy Labels. CoRR abs/2102.08427 (2021) - [i45]Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger:
Low-Precision Reinforcement Learning. CoRR abs/2102.13565 (2021) - [i44]Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes:
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. CoRR abs/2103.06375 (2021) - [i43]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Towards Deeper Deep Reinforcement Learning. CoRR abs/2106.01151 (2021) - [i42]Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire:
Materials Representation and Transfer Learning for Multi-Property Prediction. CoRR abs/2106.02225 (2021) - [i41]Sebastian Ament, Carla P. Gomes:
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. CoRR abs/2106.03235 (2021) - [i40]John Paul Ryan, Sebastian Ament, Carla P. Gomes, Anil Damle:
The Fast Kernel Transform. CoRR abs/2106.04487 (2021) - [i39]Sebastian Ament, Carla P. Gomes:
Sparse Bayesian Learning via Stepwise Regression. CoRR abs/2106.06095 (2021) - [i38]Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning. CoRR abs/2108.09523 (2021) - [i37]Dieqiao Feng, Carla P. Gomes, Bart Selman:
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. CoRR abs/2110.00898 (2021) - [i36]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. CoRR abs/2110.11222 (2021) - [i35]Junwen Bai, Weiran Wang, Carla P. Gomes:
Contrastively Disentangled Sequential Variational Autoencoder. CoRR abs/2110.12091 (2021) - [i34]Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes:
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. CoRR abs/2111.08900 (2021) - [i33]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR abs/2112.00976 (2021) - [i32]Guillaume Perez, Sebastian Ament, Carla P. Gomes, Arnaud Lallouet:
Constrained Machine Learning: The Bagel Framework. CoRR abs/2112.01088 (2021) - 2020
- [c131]Carla P. Gomes:
AI for Advancing Scientific Discovery for a Sustainable Future. AAMAS 2020: 1 - [c130]Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning. ICML 2020: 1500-1509 - [c129]Dieqiao Feng, Carla P. Gomes, Bart Selman:
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. IJCAI 2020: 2198-2205 - [c128]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI 2020: 4313-4321 - [c127]Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes:
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI 2020: 4375-4381 - [c126]Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes:
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. IJCAI 2020: 4476-4482 - [c125]Dieqiao Feng, Carla P. Gomes, Bart Selman:
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. NeurIPS 2020 - [i31]Dieqiao Feng, Carla P. Gomes, Bart Selman:
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. CoRR abs/2006.02689 (2020) - [i30]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. CoRR abs/2007.06126 (2020) - [i29]Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud:
Efficient Projection Algorithms onto the Weighted l1 Ball. CoRR abs/2009.02980 (2020) - [i28]Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes:
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR abs/2010.16040 (2020) - [i27]Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes:
Understanding Decoupled and Early Weight Decay. CoRR abs/2012.13841 (2020)
2010 – 2019
- 2019
- [j30]Yolanda Gil, Suzanne A. Pierce, Hassan A. Babaie, Arindam Banerjee, Kirk D. Borne, Gary S. Bust, Michelle Cheatham, Imme Ebert-Uphoff, Carla P. Gomes, Mary C. Hill, John D. Horel, Leslie Hsu, Jim Kinter, Craig A. Knoblock, David M. Krum, Vipin Kumar, Pierre F. J. Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar:
Intelligent systems for geosciences: an essential research agenda. Commun. ACM 62(1): 76-84 (2019) - [j29]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [c124]Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. AAAI 2019: 476-484 - [c123]Di Chen, Carla P. Gomes:
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. AAAI 2019: 493-500 - [c122]Anmol Kabra, Yexiang Xue, Carla P. Gomes:
CPU-accelerated principal-agent game for scalable citizen science. COMPASS 2019: 165-173 - [c121]Carla P. Gomes:
Computational Sustainability. ICAART (1) 2019: 9 - [c120]Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes:
Imitation Refinement for X-ray Diffraction Signal Processing. ICASSP 2019: 3337-3341 - [e4]Jay Chen, Jennifer Mankoff, Carla P. Gomes:
Proceedings of the Conference on Computing & Sustainable Societies, COMPASS 2019, Accra, Ghana, July 3-5, 2019. ACM 2019, ISBN 978-1-4503-6714-1 [contents] - [i26]Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy. CoRR abs/1902.05601 (2019) - [i25]Johan Bjorck, Brendan Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. CoRR abs/1902.09069 (2019) - [i24]Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Deep Reasoning Networks: Thinking Fast and Slow. CoRR abs/1906.00855 (2019) - [i23]David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
Tackling Climate Change with Machine Learning. CoRR abs/1906.05433 (2019) - [i22]Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes:
Task-Based Learning via Task-Oriented Prediction Network. CoRR abs/1910.09357 (2019) - 2018
- [j28]Junwen Bai, Yexiang Xue, Johan Bjorck, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase Mapper: Accelerating Materials Discovery with AI. AI Mag. 39(1): 15-26 (2018) - [c119]Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes:
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. AAAI 2018: 748-756 - [c118]Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes:
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. AAAI 2018: 824-832 - [c117]Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes:
Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. AAAI 2018: 849-859 - [c116]Guillaume Perez, Brendan Rappazzo, Carla P. Gomes:
Extending the Capacity of 1 / f Noise Generation. CP 2018: 601-610 - [c115]Junwen Bai, Sebastian Ament, Guillaume Perez, John M. Gregoire, Carla P. Gomes:
An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. CPAIOR 2018: 52-62 - [c114]Jonathan Michael Gomes Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Alexander S. Flecker, Carla P. Gomes:
Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks. CPAIOR 2018: 263-279 - [c113]Qinru Shi, Jonathan Michael Gomes Selman, Roosevelt García-Villacorta, Suresh Sethi, Alexander S. Flecker, Carla P. Gomes:
Efficiently Optimizing for Dendritic Connectivity on Tree-Structured Networks in a Multi-Objective Framework. COMPASS 2018: 26:1-26:8 - [c112]Di Chen, Yexiang Xue, Carla P. Gomes:
End-to-End Learning for the Deep Multivariate Probit Model. ICML 2018: 931-940 - [c111]Johan Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger:
Understanding Batch Normalization. NeurIPS 2018: 7705-7716 - [i21]