More from the Same Authors

• 2022 : Path Integral Stochastic Optimal Control for Sampling Transition Paths »
  Lars Holdijk · Yuanqi Du · Priyank Jaini · Ferry Hooft · Bernd Ensing · Max Welling
• 2023 Workshop: Structured Probabilistic Inference and Generative Modeling »
  Dinghuai Zhang · Yuanqi Du · Chenlin Meng · Shawn Tan · Yingzhen Li · Max Welling · Yoshua Bengio
• 2022 Poster: Lie Point Symmetry Data Augmentation for Neural PDE Solvers »
  Johannes Brandstetter · Max Welling · Daniel Worrall
• 2022 Spotlight: Lie Point Symmetry Data Augmentation for Neural PDE Solvers »
  Johannes Brandstetter · Max Welling · Daniel Worrall
• 2022 Poster: Equivariant Diffusion for Molecule Generation in 3D »
  Emiel Hoogeboom · Victor Garcia Satorras · Clément Vignac · Max Welling
• 2022 Oral: Equivariant Diffusion for Molecule Generation in 3D »
  Emiel Hoogeboom · Victor Garcia Satorras · Clément Vignac · Max Welling
• 2021 Test Of Time: Test of Time Award »
  Max Welling · Max Welling
• 2021 Poster: The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning »
  Roberto Bondesan · Max Welling
• 2021 Spotlight: The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning »
  Roberto Bondesan · Max Welling
• 2021 Poster: A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups »
  Marc Finzi · Max Welling · Andrew Wilson
• 2021 Oral: A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups »
  Marc Finzi · Max Welling · Andrew Wilson
• 2021 Poster: Federated Learning of User Verification Models Without Sharing Embeddings »
  Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
• 2021 Poster: E(n) Equivariant Graph Neural Networks »
  Victor Garcia Satorras · Emiel Hoogeboom · Max Welling
• 2021 Poster: Self Normalizing Flows »
  T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
• 2021 Spotlight: E(n) Equivariant Graph Neural Networks »
  Victor Garcia Satorras · Emiel Hoogeboom · Max Welling
• 2021 Spotlight: Federated Learning of User Verification Models Without Sharing Embeddings »
  Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
• 2021 Spotlight: Self Normalizing Flows »
  T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
• 2020 : Invited talk 1: Unifying VAEs and Flows »
  Max Welling
• 2020 Poster: Involutive MCMC: a Unifying Framework »
  Kirill Neklyudov · Max Welling · Evgenii Egorov · Dmitry Vetrov
• 2019 Workshop: Learning and Reasoning with Graph-Structured Representations »
  Ethan Fetaya · Zhiting Hu · Thomas Kipf · Yujia Li · Xiaodan Liang · Renjie Liao · Raquel Urtasun · Hao Wang · Max Welling · Eric Xing · Richard Zemel
• 2019 : Poster discussion »
  Roman Novak · Maxime Gabella · Frederic Dreyer · Siavash Golkar · Anh Tong · Irina Higgins · Mirco Milletari · Joe Antognini · Sebastian Goldt · Adín Ramírez Rivera · Roberto Bondesan · Ryo Karakida · Remi Tachet des Combes · Michael Mahoney · Nicholas Walker · Stanislav Fort · Samuel Smith · Rohan Ghosh · Aristide Baratin · Diego Granziol · Stephen Roberts · Dmitry Vetrov · Andrew Wilson · César Laurent · Valentin Thomas · Simon Lacoste-Julien · Dar Gilboa · Daniel Soudry · Anupam Gupta · Anirudh Goyal · Yoshua Bengio · Erich Elsen · Soham De · Stanislaw Jastrzebski · Charles H Martin · Samira Shabanian · Aaron Courville · Shorato Akaho · Lenka Zdeborova · Ethan Dyer · Maurice Weiler · Pim de Haan · Taco Cohen · Max Welling · Ping Luo · zhanglin peng · Nasim Rahaman · Loic Matthey · Danilo J. Rezende · Jaesik Choi · Kyle Cranmer · Lechao Xiao · Jaehoon Lee · Yasaman Bahri · Jeffrey Pennington · Greg Yang · Jiri Hron · Jascha Sohl-Dickstein · Guy Gur-Ari
• 2019 : Panel Discussion (moderator: Tom Dietterich) »
  Max Welling · Kilian Weinberger · Terrance Boult · Dawn Song · Thomas Dietterich
• 2019 : Keynote by Max Welling: A Nonparametric Bayesian Approach to Deep Learning (without GPs) »
  Max Welling
• 2019 Workshop: Joint Workshop on On-Device Machine Learning & Compact Deep Neural Network Representations (ODML-CDNNR) »
  Sujith Ravi · Zornitsa Kozareva · Lixin Fan · Max Welling · Yurong Chen · Werner Bailer · Brian Kulis · Haoji Hu · Jonathan Dekhtiar · Yingyan Lin · Diana Marculescu
• 2019 Workshop: Theoretical Physics for Deep Learning »
  Jaehoon Lee · Jeffrey Pennington · Yasaman Bahri · Max Welling · Surya Ganguli · Joan Bruna
• 2019 : Opening Remarks »
  Jaehoon Lee · Jeffrey Pennington · Yasaman Bahri · Max Welling · Surya Ganguli · Joan Bruna
• 2019 Poster: Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement »
  Wouter Kool · Herke van Hoof · Max Welling
• 2019 Oral: Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement »
  Wouter Kool · Herke van Hoof · Max Welling
• 2019 Poster: Emerging Convolutions for Generative Normalizing Flows »
  Emiel Hoogeboom · Rianne Van den Berg · Max Welling
• 2019 Oral: Emerging Convolutions for Generative Normalizing Flows »
  Emiel Hoogeboom · Rianne Van den Berg · Max Welling
• 2019 Poster: Gauge Equivariant Convolutional Networks and the Icosahedral CNN »
  Taco Cohen · Maurice Weiler · Berkay Kicanaoglu · Max Welling
• 2019 Oral: Gauge Equivariant Convolutional Networks and the Icosahedral CNN »
  Taco Cohen · Maurice Weiler · Berkay Kicanaoglu · Max Welling
• 2018 Poster: Attention-based Deep Multiple Instance Learning »
  Maximilian Ilse · Jakub Tomczak · Max Welling
• 2018 Poster: Progress & Compress: A scalable framework for continual learning »
  Jonathan Richard Schwarz · Wojciech Czarnecki · Jelena Luketina · Agnieszka Grabska-Barwinska · Yee Teh · Razvan Pascanu · Raia Hadsell
• 2018 Poster: Mix & Match - Agent Curricula for Reinforcement Learning »
  Wojciech Czarnecki · Siddhant Jayakumar · Max Jaderberg · Leonard Hasenclever · Yee Teh · Nicolas Heess · Simon Osindero · Razvan Pascanu
• 2018 Oral: Attention-based Deep Multiple Instance Learning »
  Maximilian Ilse · Jakub Tomczak · Max Welling
• 2018 Oral: Progress & Compress: A scalable framework for continual learning »
  Jonathan Richard Schwarz · Wojciech Czarnecki · Jelena Luketina · Agnieszka Grabska-Barwinska · Yee Teh · Razvan Pascanu · Raia Hadsell
• 2018 Oral: Mix & Match - Agent Curricula for Reinforcement Learning »
  Wojciech Czarnecki · Siddhant Jayakumar · Max Jaderberg · Leonard Hasenclever · Yee Teh · Nicolas Heess · Simon Osindero · Razvan Pascanu
• 2018 Invited Talk: Intelligence per Kilowatthour »
  Max Welling
• 2018 Poster: Neural Relational Inference for Interacting Systems »
  Thomas Kipf · Ethan Fetaya · Kuan-Chieh Wang · Max Welling · Richard Zemel
• 2018 Poster: BOCK : Bayesian Optimization with Cylindrical Kernels »
  ChangYong Oh · Efstratios Gavves · Max Welling
• 2018 Poster: Conditional Neural Processes »
  Marta Garnelo · Dan Rosenbaum · Chris Maddison · Tiago Ramalho · David Saxton · Murray Shanahan · Yee Teh · Danilo J. Rezende · S. M. Ali Eslami
• 2018 Oral: Neural Relational Inference for Interacting Systems »
  Thomas Kipf · Ethan Fetaya · Kuan-Chieh Wang · Max Welling · Richard Zemel
• 2018 Oral: Conditional Neural Processes »
  Marta Garnelo · Dan Rosenbaum · Chris Maddison · Tiago Ramalho · David Saxton · Murray Shanahan · Yee Teh · Danilo J. Rezende · S. M. Ali Eslami
• 2018 Oral: BOCK : Bayesian Optimization with Cylindrical Kernels »
  ChangYong Oh · Efstratios Gavves · Max Welling
• 2017 Poster: Multiplicative Normalizing Flows for Variational Bayesian Neural Networks »
  Christos Louizos · Max Welling
• 2017 Talk: Multiplicative Normalizing Flows for Variational Bayesian Neural Networks »
  Christos Louizos · Max Welling