Lars Holger Buesing

Postdoc, Deepmind

Joined

November 2016

Names

Lars Holger Buesing (Preferred)

Lars Buesing

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Postdoc

Deepmind (google.com)

2015 – Present

Postdoc

Columbia University (columbia.edu)

2013 – 2015

Postdoc

University College London (ucl.ac.uk)

2010 – 2013

PhD student

Graz University of Technology (tugraz.at)

2007 – 2010

Advisors, Relations & Conflicts

No relations added

Expertise

planning

2017 – Present

reinforcement learning

2015 – Present

generative models

2012 – Present

probabilistic inference

2010 – Present

computational neuroscience

2010 – 2016

Publications

Pushing the limits of self-supervised learning: Can we outperform supervised learning without labels?
Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
Matko Bošnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
- 26 May 2022 (modified: 30 Dec 2025)
- ICML 2022 Pre-training Workshop
- Readers: Everyone
Model-Free Counterfactual Credit Assignment
Thomas Mesnard, Theophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Marcus Hutter, Lars Holger Buesing, Remi Munos
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrovic, Brian McWilliams, Jacob C Walker, Lars Holger Buesing, Charles Blundell
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Divide-and-Conquer Monte Carlo Tree Search
Giambattista Parascandolo, Lars Holger Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
On the role of planning in model-based deep reinforcement learning
Jessica B Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Veličković, Theophane Weber
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.
Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber
- 2020 (modified: 09 Nov 2022)
- CoRR2020
- Readers: Everyone
Credit Assignment Techniques in Stochastic Computation Graphs
Théophane Weber, Nicolas Heess, Lars Buesing, David Silver
- 2019 (modified: 08 Nov 2022)
- AISTATS 2019
- Readers: Everyone
Credit Assignment Techniques in Stochastic Computation Graphs
Théophane Weber, Nicolas Heess, Lars Buesing, David Silver
- 2019 (modified: 08 Nov 2022)
- CoRR 2019
- Readers: Everyone

View all 30 publications

Co-Authors

View all 83 co-authors