More from the Same Authors

• 2023 : Optimizing protein fitness using Bi-level Gibbs sampling with Graph-based Smoothing »
  Andrew Kirjner · Jason Yim · Raman Samusevich · Tommi Jaakkola · Regina Barzilay · Ila R. Fiete
• 2023 : Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing »
  Andrew Kirjner · Jason Yim · Raman Samusevich · Tommi Jaakkola · Regina Barzilay · Ila R. Fiete
• 2023 Poster: PFGM++: Unlocking the Potential of Physics-Inspired Generative Models »
  Yilun Xu · Ziming Liu · Yonglong Tian · Shangyuan Tong · Max Tegmark · Tommi Jaakkola
• 2023 Poster: Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models »
  Guanhua Zhang · Jiabao Ji · Yang Zhang · Mo Yu · Tommi Jaakkola · Shiyu Chang
• 2023 Poster: SE(3) diffusion model with application to protein backbone generation »
  Jason Yim · Brian Trippe · Valentin De Bortoli · Emile Mathieu · Arnaud Doucet · Regina Barzilay · Tommi Jaakkola
• 2022 Poster: Antibody-Antigen Docking and Design via Hierarchical Structure Refinement »
  Wengong Jin · Regina Barzilay · Tommi Jaakkola
• 2022 Spotlight: Antibody-Antigen Docking and Design via Hierarchical Structure Refinement »
  Wengong Jin · Regina Barzilay · Tommi Jaakkola
• 2022 Poster: Conformal Prediction Sets with Limited False Positives »
  Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
• 2022 Poster: EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction »
  Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola
• 2022 Spotlight: Conformal Prediction Sets with Limited False Positives »
  Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
• 2022 Spotlight: EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction »
  Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola
• 2021 Poster: Few-Shot Conformal Prediction with Auxiliary Tasks »
  Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
• 2021 Spotlight: Few-Shot Conformal Prediction with Auxiliary Tasks »
  Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
• 2021 Poster: Information Obfuscation of Graph Neural Networks »
  Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
• 2021 Spotlight: Information Obfuscation of Graph Neural Networks »
  Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
• 2021 Poster: Learning Task Informed Abstractions »
  Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
• 2021 Spotlight: Learning Task Informed Abstractions »
  Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
• 2020 : Invited Talk: Tommi Jaakkola »
  Tommi Jaakkola
• 2020 Poster: Generalization and Representational Limits of Graph Neural Networks »
  Vikas K Garg · Stefanie Jegelka · Tommi Jaakkola
• 2020 Poster: Multi-Objective Molecule Generation using Interpretable Substructures »
  Wengong Jin · Regina Barzilay · Tommi Jaakkola
• 2020 Poster: Educating Text Autoencoders: Latent Representation Guidance via Denoising »
  Tianxiao Shen · Jonas Mueller · Regina Barzilay · Tommi Jaakkola
• 2020 Poster: Invariant Rationalization »
  Shiyu Chang · Yang Zhang · Mo Yu · Tommi Jaakkola
• 2020 Poster: Predicting deliberative outcomes »
  Vikas K Garg · Tommi Jaakkola
• 2020 Poster: Hierarchical Generation of Molecular Graphs using Structural Motifs »
  Wengong Jin · Regina Barzilay · Tommi Jaakkola
• 2020 Poster: Improving Molecular Design by Stochastic Iterative Target Augmentation »
  Kevin Yang · Wengong Jin · Kyle Swanson · Regina Barzilay · Tommi Jaakkola
• 2019 Poster: Functional Transparency for Structured Data: a Game-Theoretic Approach »
  Guang-He Lee · Wengong Jin · David Alvarez-Melis · Tommi Jaakkola
• 2019 Oral: Functional Transparency for Structured Data: a Game-Theoretic Approach »
  Guang-He Lee · Wengong Jin · David Alvarez-Melis · Tommi Jaakkola
• 2018 Poster: Junction Tree Variational Autoencoder for Molecular Graph Generation »
  Wengong Jin · Regina Barzilay · Tommi Jaakkola
• 2018 Oral: Junction Tree Variational Autoencoder for Molecular Graph Generation »
  Wengong Jin · Regina Barzilay · Tommi Jaakkola
• 2017 Poster: Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture »
  Mingmin Zhao · Shichao Yue · Dina Katabi · Tommi Jaakkola · Matt Bianchi
• 2017 Talk: Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture »
  Mingmin Zhao · Shichao Yue · Dina Katabi · Tommi Jaakkola · Matt Bianchi
• 2017 Poster: Sequence to Better Sequence: Continuous Revision of Combinatorial Structures »
  Jonas Mueller · David Gifford · Tommi Jaakkola
• 2017 Talk: Sequence to Better Sequence: Continuous Revision of Combinatorial Structures »
  Jonas Mueller · David Gifford · Tommi Jaakkola
• 2017 Poster: Deriving Neural Architectures from Sequence and Graph Kernels »
  Tao Lei · Wengong Jin · Regina Barzilay · Tommi Jaakkola
• 2017 Talk: Deriving Neural Architectures from Sequence and Graph Kernels »
  Tao Lei · Wengong Jin · Regina Barzilay · Tommi Jaakkola