More from the Same Authors

• 2021 Spotlight: The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning »
  Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards
• 2022 : Evaluating Long-Term Memory in 3D Mazes »
  Jurgis Pašukonis · Timothy Lillicrap · Danijar Hafner
• 2023 Poster: AndroidInTheWild: A Large-Scale Dataset For Android Device Control »
  Christopher Rawles · Alice Li · Oriana Riva · Daniel Rodriguez · Timothy Lillicrap
• 2022 Poster: Large-Scale Retrieval for Reinforcement Learning »
  Peter Humphreys · Arthur Guez · Olivier Tieleman · Laurent Sifre · Theophane Weber · Timothy Lillicrap
• 2022 Poster: Intra-agent speech permits zero-shot task acquisition »
  Chen Yan · Federico Carnevale · Petko I Georgiev · Adam Santoro · Aurelia Guy · Alistair Muldal · Chia-Chun Hung · Joshua Abramson · Timothy Lillicrap · Gregory Wayne
• 2022 Poster: On the Stability and Scalability of Node Perturbation Learning »
  Naoki Hiratani · Yash Mehta · Timothy Lillicrap · Peter E Latham
• 2021 Poster: The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning »
  Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards
• 2021 Poster: Towards Biologically Plausible Convolutional Networks »
  Roman Pogodin · Yash Mehta · Timothy Lillicrap · Peter E Latham
• 2020 Poster: A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network »
  Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels
• 2020 Spotlight: A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network »
  Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels
• 2020 Poster: Training Generative Adversarial Networks by Solving Ordinary Differential Equations »
  Chongli Qin · Yan Wu · Jost Tobias Springenberg · Andy Brock · Jeff Donahue · Timothy Lillicrap · Pushmeet Kohli
• 2020 Spotlight: Training Generative Adversarial Networks by Solving Ordinary Differential Equations »
  Chongli Qin · Yan Wu · Jost Tobias Springenberg · Andy Brock · Jeff Donahue · Timothy Lillicrap · Pushmeet Kohli
• 2019 : Panel Session: A new hope for neuroscience »
  Yoshua Bengio · Blake Richards · Timothy Lillicrap · Ila Fiete · David Sussillo · Doina Precup · Konrad Kording · Surya Ganguli
• 2019 : Invited Talk: Deep learning without weight transport »
  Timothy Lillicrap
• 2019 : Panel Discussion »
  Linda Smith · Josh Tenenbaum · Lisa Anne Hendricks · James McClelland · Timothy Lillicrap · Jesse Thomason · Jason Baldridge · Louis-Philippe Morency
• 2019 : Timothy Lillicrap »
  Timothy Lillicrap
• 2019 Poster: Experience Replay for Continual Learning »
  David Rolnick · Arun Ahuja · Jonathan Richard Schwarz · Timothy Lillicrap · Gregory Wayne
• 2019 Poster: Deep Learning without Weight Transport »
  Mohamed Akrout · Collin Wilson · Peter Humphreys · Timothy Lillicrap · Douglas Tweed
• 2018 Poster: Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures »
  Sergey Bartunov · Adam Santoro · Blake Richards · Luke Marris · Geoffrey E Hinton · Timothy Lillicrap
• 2018 Poster: Learning Attractor Dynamics for Generative Memory »
  Yan Wu · Gregory Wayne · Karol Gregor · Timothy Lillicrap
• 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 : Scalable RL and AlphaGo »
  Timothy Lillicrap
• 2017 : Panel on "What neural systems can teach us about building better machine learning systems" »
  Timothy Lillicrap · James J DiCarlo · Christopher Rozell · Viren Jain · Nathan Kutz · William Gray Roncal · Bingni Brunton
• 2017 : Backpropagation and deep learning in the brain »
  Timothy Lillicrap
• 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 Spotlight: A simple neural network module for relational reasoning »
  Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Timothy Lillicrap
• 2017 Poster: Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning »
  Shixiang (Shane) Gu · Timothy Lillicrap · Richard Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine
• 2016 : Tim Lillicrap »
  Timothy Lillicrap
• 2016 Poster: Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes »
  Jack Rae · Jonathan J Hunt · Ivo Danihelka · Tim Harley · Andrew Senior · Gregory Wayne · Alex Graves · Timothy Lillicrap
• 2016 Poster: Matching Networks for One Shot Learning »
  Oriol Vinyals · Charles Blundell · Timothy Lillicrap · koray kavukcuoglu · Daan Wierstra
• 2015 Poster: Learning Continuous Control Policies by Stochastic Value Gradients »
  Nicolas Heess · Gregory Wayne · David Silver · Timothy Lillicrap · Tom Erez · Yuval Tassa