Josh Merel

Joined

December 2017

Names

Josh Merel

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

****@fb.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

Meta Reality Labs (fb.com)

2021 – 2024

Research Scientist

DeepMind (google.com)

2016 – 2021

Advisors, Relations & Conflicts

PhD Advisor

John Cunningham

2013 – 2016

PhD Advisor

Liam Paninski

2012 – 2016

Expertise

computational neuroscience

Present

motor control

Present

imitation learning

Present

reinforcement learning

Present

robotics

Present

Publications

Simultaneous denoising, deconvolution, and demixing of calcium imaging data
Weijian Yang, Eftychios A. Pnevmatikakis, Daniel Soudry, Yuanjun Gao, Josh Merel, David Pfau, Misha B. Ahrens, Darcy S. Peterka, Rafael Yuste, Liam Paninski
- Neuron
- Readers: Everyone
Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning
Roman Vaxenburg, Igor Siwanowicz, Josh Merel, Alice A. Robie, Carmen Morrow, Guido Novati, Zinovia Stefanidi, Gwyneth M. Card, Michael B. Reiser, Matthew Botvinick, Kristin Branson, Yuval Tassa, Srinivas C Turaga
- OpenReview Archive Direct Upload
- Readers: Everyone
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios A. Pnevmatikakis, Jesse D Marshall
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Universal Humanoid Motion Representations for Physics-Based Control
Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M. Kitani, Weipeng Xu
- ICLR 2024 spotlight
- Readers: Everyone
Data augmentation for efficient learning from parametric experts
Alexandre Galashov, Josh Merel, Nicolas Heess
- Published: 31 Oct 2022, Last Modified: 11 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, raia hadsell
- 12 Oct 2021 (modified: 05 May 2023)
- Deep RL Workshop NeurIPS 2021
- Readers: Everyone
NeuPL: Neural Population Learning
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
Evaluating Model-Based Planning and Planner Amortization for Continuous Control
Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin Riedmiller
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Learning Dynamics Models for Model Predictive Agents
Michael Lutter, Leonard Hasenclever, Arunkumar Byravan, Gabriel Dulac-Arnold, Piotr Trochim, Nicolas Heess, Josh Merel, Yuval Tassa
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
Grace W Lindsay, Josh Merel, Thomas D. Mrsic-Flogel, Maneesh Sahani
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone

View all 28 publications

Co-Authors

View all 114 co-authors