Matej Balog

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Topics

Matrix Multiplication

Reinforcement Learning

Top Venues

Publications

Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi
Mathematical discoveries from program search with large language models. Nat. 625 (7995) (2024)
Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli
Quantum Circuit Optimization with AlphaTensor. CoRR (2024)
Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR (2023)
Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli
Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 610 (7930) (2022)
Matej Balog, Rishabh Singh, Petros Maniatis, Charles Sutton
Neural Program Synthesis with a Differentiable Fixer. CoRR (2020)
Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li, Daniel Tarlow
Fast Training of Sparse Graph Neural Networks on Dense Hardware. CoRR (2019)
Matej Balog, Ilya O. Tolstikhin, Bernhard Schölkopf
Differentially Private Database Release via Kernel Mean Embeddings. ICML (2018)
Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller
Lost Relatives of the Gumbel Trick. CoRR (2017)
Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller
Lost Relatives of the Gumbel Trick. ICML (2017)
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
DeepCoder: Learning to Write Programs. ICLR (Poster) (2017)
Matej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh
The Mondrian Kernel. UAI (2016)
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
DeepCoder: Learning to Write Programs. CoRR (2016)
Matej Balog, Yee Whye Teh
The Mondrian Process for Machine Learning. CoRR (2015)