Matej Balog

According to our database, Matej Balog authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mathematical discoveries from program search with large language models.

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

Nat., January, 2024

Quantum Circuit Optimization with AlphaTensor.

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

CoRR, 2024

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2022

Discovering faster matrix multiplication algorithms with reinforcement learning.

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

Nat., 2022

2020

Converting to optimization in machine learning: Perturb-and-MAP, differential privacy, and program synthesis.

Matej Balog

PhD thesis, 2020

Neural Program Synthesis with a Differentiable Fixer.

Matej Balog, Rishabh Singh, Petros Maniatis, Charles Sutton

CoRR, 2020

2019

Fast Training of Sparse Graph Neural Networks on Dense Hardware.

Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li, Daniel Tarlow

CoRR, 2019

2018

Differentially Private Database Release via Kernel Mean Embeddings.

Matej Balog, Ilya O. Tolstikhin, Bernhard Schölkopf

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Lost Relatives of the Gumbel Trick.

Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller

Proceedings of the 34th International Conference on Machine Learning, 2017

DeepCoder: Learning to Write Programs.

Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

The Mondrian Kernel.

Matej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

The Mondrian Process for Machine Learning.

Matej Balog, Yee Whye Teh

CoRR, 2015