More from the Same Authors

• 2021 : Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification »
  Junwen Bai · Shufeng Kong · Carla Gomes
• 2021 : Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification »
  Junwen Bai · Shufeng Kong · Carla Gomes
• 2021 : Resolving Super Fine-Resolution SIF via Coarsely-Supervised U-Net Regression »
  Joshua Fan · Di Chen · Jiaming Wen · Ying Sun · Carla Gomes
• 2021 : A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction »
  Joshua Fan · Junwen Bai · Zhiyun Li · Ariel Ortiz-Bobea · Carla Gomes
• 2022 : Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction »
  Junwen Bai · Yuanqi Du · Yingheng Wang · Shufeng Kong · John Gregoire · Carla Gomes
• 2022 : Structure-based Drug Design with Equivariant Diffusion Models »
  Arne Schneuing · Yuanqi Du · Charles Harris · Arian Jamasb · Ilia Igashov · weitao Du · Tom Blundell · Pietro Lió · Carla Gomes · Max Welling · Michael Bronstein · Bruno Correia
• 2022 Workshop: AI for Science: Progress and Promises »
  Yi Ding · Yuanqi Du · Tianfan Fu · Hanchen Wang · Anima Anandkumar · Yoshua Bengio · Anthony Gitter · Carla Gomes · Aviv Regev · Max Welling · Marinka Zitnik
• 2022 Poster: Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning »
  Dieqiao Feng · Carla Gomes · Bart Selman
• 2021 : A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction »
  Joshua Fan · Junwen Bai · Zhiyun Li · Ariel Ortiz-Bobea · Carla Gomes
• 2021 : Resolving Super Fine-Resolution SIF via Coarsely-Supervised U-Net Regression »
  Joshua Fan · Di Chen · Jiaming Wen · Ying Sun · Carla Gomes
• 2021 Poster: Towards Deeper Deep Reinforcement Learning with Spectral Normalization »
  Nils Bjorck · Carla Gomes · Kilian Weinberger
• 2021 Poster: Contrastively Disentangled Sequential Variational Autoencoder »
  Junwen Bai · Weiran Wang · Carla Gomes
• 2020 Poster: A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances »
  Dieqiao Feng · Carla Gomes · Bart Selman
• 2019 : AI and Sustainable Development »
  Fei Fang · Carla Gomes · Miguel Luengo-Oroz · Thomas Dietterich · Julien Cornebise
• 2019 : Climate Change: A Grand Challenge for ML »
  Yoshua Bengio · Carla Gomes · Andrew Ng · Jeff Dean · Lester Mackey
• 2019 : Computational Sustainability: Computing for a Better World and a Sustainable Future »
  Carla Gomes
• 2018 Poster: Understanding Batch Normalization »
  Johan Bjorck · Carla Gomes · Bart Selman · Kilian Weinberger
• 2016 Poster: Solving Marginal MAP Problems with NP Oracles and Parity Constraints »
  Yexiang Xue · zhiyuan li · Stefano Ermon · Carla Gomes · Bart Selman
• 2013 Workshop: Machine Learning for Sustainability »
  Edwin Bonilla · Thomas Dietterich · Theodoros Damoulas · Andreas Krause · Daniel Sheldon · Iadine Chades · J. Zico Kolter · Bistra Dilkina · Carla Gomes · Hugo P Simao
• 2013 Poster: Embed and Project: Discrete Sampling with Universal Hashing »
  Stefano Ermon · Carla Gomes · Ashish Sabharwal · Bart Selman
• 2012 Poster: Density Propagation and Improved Bounds on the Partition Function »
  Stefano Ermon · Carla Gomes · Ashish Sabharwal · Bart Selman
• 2011 Poster: Accelerated Adaptive Markov Chain for Partition Function Computation »
  Stefano Ermon · Carla Gomes · Ashish Sabharwal · Bart Selman
• 2011 Spotlight: Accelerated Adaptive Markov Chain for Partition Function Computation »
  Stefano Ermon · Carla Gomes · Ashish Sabharwal · Bart Selman
• 2006 Poster: Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints »
  Carla Gomes · Ashish Sabharwal · Bart Selman