More from the Same Authors

• 2021 : LiRo: Benchmark and leaderboard for Romanian language tasks »
  Stefan Dumitrescu · Petru Rebeja · Beata Lorincz · Mihaela Gaman · Andrei Avram · Mihai Ilie · Andrei Pruteanu · Adriana Stan · Lorena Rosia · Cristina Iacobescu · Luciana Morogan · George Dima · Gabriel Marchidan · Traian Rebedea · Madalina Chitez · Dani Yogatama · Sebastian Ruder · Radu Tudor Ionescu · Razvan Pascanu · Viorica Patraucean
• 2021 : Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging »
  Francisca Vasconcelos · Bobby He · Yee Teh
• 2022 : Pre-training via Denoising for Molecular Property Prediction »
  Sheheryar Zaidi · Michael Schaarschmidt · James Martens · Hyunjik Kim · Yee Whye Teh · Alvaro Sanchez Gonzalez · Peter Battaglia · Razvan Pascanu · Jonathan Godwin
• 2022 : When Does Re-initialization Work? »
  Sheheryar Zaidi · Tudor Berariu · Hyunjik Kim · Jorg Bornschein · Claudia Clopath · Yee Whye Teh · Razvan Pascanu
• 2023 Poster: The Tunnel Effect: Building Data Representations in Deep Neural Networks »
  Wojciech Masarczyk · Mateusz Ostaszewski · Ehsan Imani · Razvan Pascanu · Piotr Miłoś · Tomasz Trzcinski
• 2023 Poster: Deep Reinforcement Learning with Plasticity Injection »
  Evgenii Nikishin · Junhyuk Oh · Georg Ostrovski · Clare Lyle · Razvan Pascanu · Will Dabney · Andre Barreto
• 2023 Poster: Learning to Modulate pre-trained Models in RL »
  Thomas Schmied · Markus Hofmarcher · Fabian Paischer · Razvan Pascanu · Sepp Hochreiter
• 2022 Poster: Disentangling Transfer in Continual Reinforcement Learning »
  Maciej Wolczyk · Michał Zając · Razvan Pascanu · Łukasz Kuciński · Piotr Miłoś
• 2021 Poster: On Contrastive Representations of Stochastic Processes »
  Emile Mathieu · Adam Foster · Yee Teh
• 2021 Poster: Group Equivariant Subsampling »
  Jin Xu · Hyunjik Kim · Thomas Rainforth · Yee Teh
• 2021 Poster: Powerpropagation: A sparsity inducing weight reparameterisation »
  Jonathan Richard Schwarz · Siddhant Jayakumar · Razvan Pascanu · Peter E Latham · Yee Teh
• 2021 Poster: Continual World: A Robotic Benchmark For Continual Reinforcement Learning »
  Maciej Wołczyk · Michał Zając · Razvan Pascanu · Łukasz Kuciński · Piotr Miłoś
• 2021 Poster: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations »
  Tim G. J. Rudner · Cong Lu · Michael A Osborne · Yarin Gal · Yee Teh
• 2021 Poster: On the Role of Optimization in Double Descent: A Least Squares Study »
  Ilja Kuzborskij · Csaba Szepesvari · Omar Rivasplata · Amal Rannen-Triki · Razvan Pascanu
• 2021 Poster: Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels »
  Michael Hutchinson · Alexander Terenin · Viacheslav Borovitskiy · So Takao · Yee Teh · Marc Deisenroth
• 2021 Poster: BayesIMP: Uncertainty Quantification for Causal Data Fusion »
  Siu Lun Chau · Jean-Francois Ton · Javier González · Yee Teh · Dino Sejdinovic
• 2021 Poster: Neural Ensemble Search for Uncertainty Estimation and Dataset Shift »
  Sheheryar Zaidi · Arber Zela · Thomas Elsken · Chris C Holmes · Frank Hutter · Yee Teh
• 2020 Poster: Top-KAST: Top-K Always Sparse Training »
  Siddhant Jayakumar · Razvan Pascanu · Jack Rae · Simon Osindero · Erich Elsen
• 2020 Poster: Pointer Graph Networks »
  Petar Veličković · Lars Buesing · Matthew Overlan · Razvan Pascanu · Oriol Vinyals · Charles Blundell
• 2020 Spotlight: Pointer Graph Networks »
  Petar Veličković · Lars Buesing · Matthew Overlan · Razvan Pascanu · Oriol Vinyals · Charles Blundell
• 2020 Poster: Understanding the Role of Training Regimes in Continual Learning »
  Seyed Iman Mirzadeh · Mehrdad Farajtabar · Razvan Pascanu · Hassan Ghasemzadeh
• 2019 Poster: Continual Unsupervised Representation Learning »
  Dushyant Rao · Francesco Visin · Andrei A Rusu · Razvan Pascanu · Yee Whye Teh · Raia Hadsell
• 2018 Workshop: Continual Learning »
  Razvan Pascanu · Yee Teh · Marc Pickett · Mark Ring
• 2018 Poster: Relational recurrent neural networks »
  Adam Santoro · Ryan Faulkner · David Raposo · Jack Rae · Mike Chrzanowski · Theophane Weber · Daan Wierstra · Oriol Vinyals · Razvan Pascanu · Timothy Lillicrap
• 2017 Poster: Distral: Robust multitask reinforcement learning »
  Yee Teh · Victor Bapst · Wojciech Czarnecki · John Quan · James Kirkpatrick · Raia Hadsell · Nicolas Heess · Razvan Pascanu
• 2017 Poster: A simple neural network module for relational reasoning »
  Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Timothy Lillicrap
• 2017 Poster: Imagination-Augmented Agents for Deep Reinforcement Learning »
  Sébastien Racanière · Theophane Weber · David Reichert · Lars Buesing · Arthur Guez · Danilo Jimenez Rezende · Adrià Puigdomènech Badia · Oriol Vinyals · Nicolas Heess · Yujia Li · Razvan Pascanu · Peter Battaglia · Demis Hassabis · David Silver · Daan Wierstra
• 2017 Spotlight: A simple neural network module for relational reasoning »
  Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Timothy Lillicrap
• 2017 Oral: Imagination-Augmented Agents for Deep Reinforcement Learning »
  Sébastien Racanière · Theophane Weber · David Reichert · Lars Buesing · Arthur Guez · Danilo Jimenez Rezende · Adrià Puigdomènech Badia · Oriol Vinyals · Nicolas Heess · Yujia Li · Razvan Pascanu · Peter Battaglia · Demis Hassabis · David Silver · Daan Wierstra
• 2017 Poster: Visual Interaction Networks: Learning a Physics Simulator from Video »
  Nicholas Watters · Daniel Zoran · Theophane Weber · Peter Battaglia · Razvan Pascanu · Andrea Tacchetti
• 2017 Poster: Filtering Variational Objectives »
  Chris Maddison · John Lawson · George Tucker · Nicolas Heess · Mohammad Norouzi · Andriy Mnih · Arnaud Doucet · Yee Teh
• 2017 Poster: Sobolev Training for Neural Networks »
  Wojciech Czarnecki · Simon Osindero · Max Jaderberg · Grzegorz Swirszcz · Razvan Pascanu
• 2016 Workshop: Continual Learning and Deep Networks »
  Razvan Pascanu · Mark Ring · Tom Schaul
• 2016 Poster: Interaction Networks for Learning about Objects, Relations and Physics »
  Peter Battaglia · Razvan Pascanu · Matthew Lai · Danilo Jimenez Rezende · koray kavukcuoglu
• 2015 Poster: Natural Neural Networks »
  Guillaume Desjardins · Karen Simonyan · Razvan Pascanu · koray kavukcuoglu
• 2014 Poster: Identifying and attacking the saddle point problem in high-dimensional non-convex optimization »
  Yann N Dauphin · Razvan Pascanu · Caglar Gulcehre · Kyunghyun Cho · Surya Ganguli · Yoshua Bengio
• 2014 Poster: On the Number of Linear Regions of Deep Neural Networks »
  Guido F Montufar · Razvan Pascanu · Kyunghyun Cho · Yoshua Bengio