Carla P. Gomes

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 125

Top Venues

Publications

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 (2024)
Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI (2024)
Yimeng Min, Carla P. Gomes
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem. CoRR (2024)
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 (2024)
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)
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 (2024)
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)
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) (2023)
Yimeng Min, Yiwei Bai, Carla P. Gomes
Unsupervised Learning for Solving the Travelling Salesman Problem. CoRR (2023)
Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John M. Gregoire, Carla P. Gomes
Hub: Unlocking the Potential of Machine Learning for Materials Discovery. CoRR (2023)
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)
Carla P. Gomes
Keynote: AI for Scientific Discovery and a Sustainable Future. PERCOM (2023)
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 (2023)
Dieqiao Feng, Yuanqi Du, Carla P. Gomes, Bart Selman
Weighted Sampling without Replacement for Deep Top-k Classification. ICML (2023)
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) (2023)
Yimeng Min, Yiwei Bai, Carla P. Gomes
Unsupervised Learning for Solving the Travelling Salesman Problem. NeurIPS (2023)
Shufeng Kong, Caihua Liu, Carla P. Gomes
IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. STRL@IJCAI (2023)
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)
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)
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 (2023)
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)
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)
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)
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)
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 (2022)
Dieqiao Feng, Carla P. Gomes, Bart Selman
Graph Value Iteration. CoRR (2022)
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)
Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud
ball. Artif. Intell. 306 (2022)
John Paul Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle
The Fast Kernel Transform. AISTATS (2022)
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 (2022)
Sebastian Ament, Carla P. Gomes
Generalized Matching Pursuits for the Sparse Optimization of Separable Objectives. ICASSP (2022)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. ICLR (2022)
Sebastian Ament, Carla P. Gomes
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. CoRR (2022)
Sebastian E. Ament, Carla P. Gomes
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. ICML (2022)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML (2022)
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)
Sebastian Ament, Carla P. Gomes
Sparse Bayesian Learning via Stepwise Regression. CoRR (2021)
John Paul Ryan, Sebastian Ament, Carla P. Gomes, Anil Damle
The Fast Kernel Transform. CoRR (2021)
Junwen Bai, Weiran Wang, Carla P. Gomes
Contrastively Disentangled Sequential Variational Autoencoder. CoRR (2021)
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)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Towards Deeper Deep Reinforcement Learning with Spectral Normalization. NeurIPS (2021)
Dieqiao Feng, Carla P. Gomes, Bart Selman
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. CoRR (2021)
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 (2021)
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) (2021)
Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire
Materials Representation and Transfer Learning for Multi-Property Prediction. CoRR (2021)
Junwen Bai, Weiran Wang, Carla P. Gomes
Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS (2021)
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)
Wenting Zhao, Carla P. Gomes
Evaluating Multi-label Classifiers with Noisy Labels. CoRR (2021)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR (2021)
Yiwei Bai, Di Chen, Carla P. Gomes
CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games. CP (2021)
Sebastian E. Ament, Carla P. Gomes
Sparse Bayesian Learning via Stepwise Regression. ICML (2021)
Carla P. Gomes
Keynote 2 - Computational Sustainability: Computing for a Better World and a Sustainable Future. SMARTCOMP (2021)
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 (2021)
Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes
Characterizing the Loss Landscape in Non-Negative Matrix Factorization. AAAI (2021)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. CoRR (2021)
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 (2021)
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)
Sebastian Ament, Carla P. Gomes
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. ICASSP (2021)
Yiwei Bai, Wenting Zhao, Carla P. Gomes
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems. CoRR (2021)
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 (2021)
Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger
Low-Precision Reinforcement Learning. CoRR (2021)
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)
Sebastian Ament, Carla P. Gomes
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. CoRR (2021)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Towards Deeper Deep Reinforcement Learning. CoRR (2021)
Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes
Understanding Decoupled and Early Weight Decay. AAAI (2021)
Carla P. Gomes
AI for Advancing Scientific Discovery for a Sustainable Future. AAMAS (2020)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI (2020)
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)
Dieqiao Feng, Carla P. Gomes, Bart Selman
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. IJCAI (2020)
Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes
Understanding Decoupled and Early Weight Decay. CoRR (2020)
Dieqiao Feng, Carla P. Gomes, Bart Selman
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. CoRR (2020)
Dieqiao Feng, Carla P. Gomes, Bart Selman
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. NeurIPS (2020)
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 (2020)
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)
Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud
Efficient Projection Algorithms onto the Weighted l1 Ball. CoRR (2020)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. IJCAI (2020)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. CoRR (2020)
Anmol Kabra, Yexiang Xue, Carla P. Gomes
CPU-accelerated principal-agent game for scalable citizen science. COMPASS (2019)
Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes
Deep Reasoning Networks: Thinking Fast and Slow. CoRR (2019)
Carla P. Gomes
Computational Sustainability. ICAART (1) (2019)
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) (2019)
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 (2019)
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)
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 (2019)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network. CoRR (2019)
Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
Imitation Refinement for X-ray Diffraction Signal Processing. ICASSP (2019)
Sebastian Ament, John M. Gregoire, Carla P. Gomes
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy. CoRR (2019)
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 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) (2019)
Di Chen, Carla P. Gomes
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. AAAI (2019)
Di Chen, Carla P. Gomes
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. CoRR (2018)
Johan Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger
Understanding Batch Normalization. NeurIPS (2018)
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)
Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
Imitation Refinement. CoRR (2018)
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)
Di Chen, Yexiang Xue, Carla P. Gomes
End-to-End Learning for the Deep Multivariate Probit Model. ICML (2018)
Jonathan M. 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)
Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. AAAI (2018)
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)
Johan Bjorck, Carla P. Gomes, Bart Selman
Understanding Batch Normalization. CoRR (2018)
Guillaume Perez, Brendan Rappazzo, Carla P. Gomes
Extending the Capacity of 1 / f Noise Generation. CP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carla P. Gomes