Carla P. Gomes

gomes at cs.cornell.edu
Professor and Director
Cornell University AI for Science Institute
Institute for Computational Sustainability
CompSustNet

All publications

Selected Journal Publications

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)

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Yiwei Bai, Wenting Zhao, Carla P. Gomes. Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems. CoRR abs/2102.03002 (2021) [pdf]

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Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire. Materials representation and transfer learning for multi-property prediction. Applied Physics Reviews (2021). [pdf]

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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 [pdf]

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Dieqiao Feng, Carla P. Gomes, Bart Selman. Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. IJCAI 2020: 2198-2205 [pdf]

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Dieqiao Feng, Carla P. Gomes, Bart Selman. A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. NeurIPS 2020 [pdf]

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Publications By Year

This publication list is mostly from my DBLP profile. Email me if you'd like a copy of one of my publications not included here.

2024

• Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes. Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI 2024: 283-291 [pdf]
• 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) [pdf]
• Yimeng Min, Carla P. Gomes. On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem. CoRR abs/2403.20212 (2024) [pdf]

2023

• Dieqiao Feng, Yuanqi Du, Carla P. Gomes, Bart Selman. Weighted Sampling without Replacement for Deep Top-k Classification. ICML 2023: 9910-9920 [pdf]
• 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 [pdf]
• Shufeng Kong, Caihua Liu, Carla P. Gomes. IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. STRL@IJCAI 2023 [pdf]
• 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 [pdf]
• 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 [pdf]
• Yimeng Min, Yiwei Bai, Carla P. Gomes. Unsupervised Learning for Solving the Travelling Salesman Problem. NeurIPS 2023 [pdf]
• 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) [pdf]
• Yimeng Min, Yiwei Bai, Carla P. Gomes. Unsupervised Learning for Solving the Travelling Salesman Problem. CoRR abs/2303.10538 (2023) [pdf]
• 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) [pdf]
• 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) [pdf]
• 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) [pdf]
• Yimeng Min, Carla Gomes. Unsupervised Learning Permutations for TSP using Gumbel-Sinkhorn Operator. NeurIPS 2023 Workshop Optimal Transport and Machine Learning (2023). [pdf]
• Laura Greenstreet, Joshua Fan, Felipe Siqueira Pacheco, Yiwei Bai, Marta Eichemberger Ummus, Carolina Doria, Nathan Oliveira Barros, Bruce R Forsberg, Xiangtao Xu, Alexander Flecker, Carla P Gomes. Detecting Aquaculture with Deep Learning in a Low-Data Setting. KDD 2023 Fragile Earth Workshop (2023). [pdf]
• Olivia J. Graham, Tiffany Stephens, Brendan Rappazzo, Corinne Klohmann, Sukanya Dayal, Emily M. Adamczyk, Angeleen Olson, Margot Hessing-Lewis, Morgan Eisenlord, Bo Yang, Colleen Burge, Carla P. Gomes, Drew Harvell. Deeper habitats and cooler temperatures moderate a climate-driven seagrass disease. Philosophical Transactions of the Royal Society B: Biological Sciences (2023). [pdf]

2022

• Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud. Efficient projection algorithms onto the weighted ℓ₁ ball. Artif. Intell. 306: 103683 (2022) [pdf]
• 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 [pdf]
• John Paul Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle. The Fast Kernel Transform. AISTATS 2022: 11669-11690 [pdf]
• Sebastian Ament, Carla P. Gomes. Generalized Matching Pursuits for the Sparse Optimization of Separable Objectives. ICASSP 2022: 5553-5557 [pdf]
• Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger. Is High Variance Unavoidable in RL? A Case Study in Continuous Control. ICLR 2022 [pdf]
• Sebastian E. Ament, Carla P. Gomes. Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. ICML 2022: 500-516 [pdf]
• Junwen Bai, Shufeng Kong, Carla P. Gomes. Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML 2022: 1383-1398 [pdf]
• 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 [pdf]
• 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 [pdf]
• Sebastian Ament, Carla P. Gomes. Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. CoRR abs/2206.08366 (2022) [pdf]
• 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) [pdf]
• 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) [pdf]
• Dieqiao Feng, Carla P. Gomes, Bart Selman. Graph Value Iteration. CoRR abs/2209.09608 (2022) [pdf]
• Arne Schneuing, Yuanqi Du, Charles Harris, Arian Jamasb, Ilia Igashov, Weitao Du, Tom Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael Bronstein, Bruno Correia. Structure-based Drug Design with Equivariant Diffusion Models. CoRR abs/2210.13695 (2022). [pdf]
• Lillian R. Aoki, Brendan Rappazzo, Deanna S. Beatty, Lia K. Domke, Ginny L. Eckert, Morgan E. Eisenlord, Olivia J. Graham, Leah Harper, Timothy L. Hawthorne, Margot Hessing-Lewis, Kevin A. Hovel, Zachary L. Monteith, Ryan S. Mueller, Angeleen M. Olson, Carolyn Prentice, John J. Stachowicz, Fiona Tomas, Bo Yang, J. Emmett Duffy, Carla Gomes, C. Drew Harvell. Disease surveillance by artificial intelligence links eelgrass wasting disease to ocean warming across latitudes. Limnology and Oceanography (2022). [pdf]
• Shufeng Kong, Francesco Ricci, Dan Guevarra, Jeffrey B. Neaton, Carla P. Gomes, John M. Gregoire. Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings. Nature Communications (2022). [pdf]
• Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John Gregoire, Carla P Gomes. Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. NeurIPS 2022 AI for Science: Progress and Promises (2022). [pdf]

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): 812-822 (2021)
• Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes. Characterizing the Loss Landscape in Non-Negative Matrix Factorization. AAAI 2021: 6768-6776 [pdf]
• Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes. Understanding Decoupled and Early Weight Decay. AAAI 2021: 6777-6785 [pdf]
• 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 [pdf]
• 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 [pdf]
• 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 [pdf]
• Yiwei Bai, Di Chen, Carla P. Gomes. CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games. CP 2021: 17:1-17:14 [pdf]
• Sebastian Ament, Carla P. Gomes. On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. ICASSP 2021: 5599-5603 [pdf]
• Sebastian E. Ament, Carla P. Gomes. Sparse Bayesian Learning via Stepwise Regression. ICML 2021: 264-274 [pdf]
• 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 [pdf]
• Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger. Towards Deeper Deep Reinforcement Learning with Spectral Normalization. NeurIPS 2021: 8242-8255 [pdf]
• Junwen Bai, Weiran Wang, Carla P. Gomes. Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS 2021: 10105-10118 [pdf]
• Yiwei Bai, Wenting Zhao, Carla P. Gomes. Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems. CoRR abs/2102.03002 (2021) [pdf]
• Wenting Zhao, Carla P. Gomes. Evaluating Multi-label Classifiers with Noisy Labels. CoRR abs/2102.08427 (2021) [pdf]
• Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger. Low-Precision Reinforcement Learning. CoRR abs/2102.13565 (2021) [pdf]
• 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) [pdf]
• Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger. Towards Deeper Deep Reinforcement Learning. CoRR abs/2106.01151 (2021) [pdf]
• Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire. Materials Representation and Transfer Learning for Multi-Property Prediction. CoRR abs/2106.02225 (2021) [pdf]
• Sebastian Ament, Carla P. Gomes. On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. CoRR abs/2106.03235 (2021) [pdf]
• Sebastian Ament, Carla P. Gomes. Sparse Bayesian Learning via Stepwise Regression. CoRR abs/2106.06095 (2021) [pdf]
• 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) [pdf]
• Dieqiao Feng, Carla P. Gomes, Bart Selman. A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. CoRR abs/2110.00898 (2021) [pdf]
• 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) [pdf]
• Junwen Bai, Weiran Wang, Carla P. Gomes. Contrastively Disentangled Sequential Variational Autoencoder. CoRR abs/2110.12091 (2021) [pdf]
• 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) [pdf]
• Junwen Bai, Shufeng Kong, Carla P. Gomes. Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR abs/2112.00976 (2021) [pdf]
• Guillaume Perez, Sebastian Ament, Carla P. Gomes, Arnaud Lallouet. Constrained Machine Learning: The Bagel Framework. CoRR abs/2112.01088 (2021) [pdf]
• Shufeng Kong, Francesco Ricci, Dan Guevarra, Jeffrey B. Neaton, Carla P. Gomes, John M. Gregoire. Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings. CoRR abs/2110.11444 (2021). [pdf]
• Olivia J. Graham, Lillian R. Aoki, Tiffany Stephens, Joshua Stokes, Sukanya Dayal, Brendan Rappazzo, Carla P. Gomes, C. Drew Harvell. Effects of Seagrass Wasting Disease on Eelgrass Growth and Belowground Sugar in Natural Meadows. Frontiers in Marine Science (2021). [pdf]
• Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire. Materials representation and transfer learning for multi-property prediction. Applied Physics Reviews (2021). [pdf]
• 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. NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning (2021). [pdf]
• Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P Gomes. Resolving Super Fine-Resolution SIF via Coarsely-Supervised U-Net Regression. NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning (2021). [pdf]

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: 1500-1509 [pdf]
• Dieqiao Feng, Carla P. Gomes, Bart Selman. Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. IJCAI 2020: 2198-2205 [pdf]
• Junwen Bai, Shufeng Kong, Carla P. Gomes. Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI 2020: 4313-4321 [pdf]
• 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 [pdf]
• 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 [pdf]
• Dieqiao Feng, Carla P. Gomes, Bart Selman. A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. NeurIPS 2020 [pdf]
• Dieqiao Feng, Carla P. Gomes, Bart Selman. Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. CoRR abs/2006.02689 (2020) [pdf]
• 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) [pdf]
• Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud. Efficient Projection Algorithms onto the Weighted l1 Ball. CoRR abs/2009.02980 (2020) [pdf]
• 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) [pdf]
• Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes. Understanding Decoupled and Early Weight Decay. CoRR abs/2012.13841 (2020) [pdf]

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: 476-484 [pdf]
• Di Chen, Carla P. Gomes. Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. AAAI 2019: 493-500 [pdf]
• Anmol Kabra, Yexiang Xue, Carla P. Gomes. CPU-accelerated principal-agent game for scalable citizen science. COMPASS 2019: 165-173 [pdf]
• 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 [pdf]
• Sebastian Ament, John M. Gregoire, Carla P. Gomes. Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy. CoRR abs/1902.05601 (2019) [pdf]
• 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) [pdf]
• 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) [pdf]
• Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes. Task-Based Learning via Task-Oriented Prediction Network. CoRR abs/1910.09357 (2019) [pdf]

2018

• 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 [pdf]
• Guillaume Perez, Brendan Rappazzo, Carla P. Gomes. Extending the Capacity of 1 / f Noise Generation. CP 2018: 601-610 [pdf]
• Di Chen, Yexiang Xue, Carla P. Gomes. End-to-End Learning for the Deep Multivariate Probit Model. ICML 2018: 931-940 [pdf]
• Johan Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger. Understanding Batch Normalization. NeurIPS 2018: 7705-7716 [pdf]
• Di Chen, Yexiang Xue, Carla P. Gomes. End-to-End Learning for the Deep Multivariate Probit Model. CoRR abs/1803.08591 (2018) [pdf]
• Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes. Imitation Refinement. CoRR abs/1805.08698 (2018) [pdf]
• Johan Bjorck, Carla P. Gomes, Bart Selman. Understanding Batch Normalization. CoRR abs/1806.02375 (2018) [pdf]
• Di Chen, Carla P. Gomes. Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. CoRR abs/1811.00458 (2018) [pdf]

2017

• Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes. Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder. CoRR abs/1709.05612 (2017) [pdf]

2016

• Yexiang Xue, Zhiyuan Li, Stefano Ermon, Carla P. Gomes, Bart Selman. Solving Marginal MAP Problems with NP Oracles and Parity Constraints. NIPS 2016: 1127-1135 [pdf]
• Di Chen, Yexiang Xue, Shuo Chen, Daniel Fink, Carla P. Gomes. Deep Multi-Species Embedding. CoRR abs/1609.09353 (2016) [pdf]

2015

• Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman. Variable Elimination in Fourier Domain. CoRR abs/1508.04032 (2015) [pdf]

2014

• Theodoros Damoulas, Jin He, Richard Bernstein, Carla P. Gomes, Anish Arora. String Kernels for Complex Time-Series: Counting Targets from Sensed Movement. ICPR 2014: 4429-4434 [pdf]