Matej Balog

19 papers A* 3A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
ArchAgent: Agentic AI-driven Computer Architecture Discovery.
CoRR
Raghav Gupta, Akanksha Jain, Abraham Gonzalez, Alexander Novikov, Po-Sen Huang, Matej Balog, Marvin Eisenberger, Sergey Shirobokov, Ngân Vu, Martin Dixon, Borivoje Nikolic, Parthasarathy Ranganathan, Sagar Karandikar
2025 J jnl
AlphaEvolve: A coding agent for scientific and algorithmic discovery.
CoRR
Alexander Novikov, Ngân Vu, Marvin Eisenberger, Emilien Dupont, Po-Sen Huang, Adam Zsolt Wagner, Sergey Shirobokov, Borislav Kozlovskii, Francisco J. R. Ruiz, Abbas Mehrabian, M. Pawan Kumar, Abigail See, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, Pushmeet Kohli, Matej Balog
2025 J jnl
Quantum circuit optimization with AlphaTensor.
Nat. Mac. Intell.
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
2024 J jnl
Amplifying human performance in combinatorial competitive programming.
CoRR
Petar Velickovic, Alex Vitvitskyi, Larisa Markeeva, Borja Ibarz, Lars Buesing, Matej Balog, Alexander Novikov
2024 A* conf
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search.
IJCAI
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
2024 J jnl
Mathematical discoveries from program search with large language models.
Nat.
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
2024 J jnl
Quantum Circuit Optimization with AlphaTensor.
CoRR
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
2023 J jnl
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search.
CoRR
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
2022 J jnl
Discovering faster matrix multiplication algorithms with reinforcement learning.
Nat.
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
2020 — —
Converting to optimization in machine learning: Perturb-and-MAP, differential privacy, and program synthesis.
Matej Balog
2020 J jnl
Neural Program Synthesis with a Differentiable Fixer.
CoRR
Matej Balog, Rishabh Singh, Petros Maniatis, Charles Sutton
2019 J jnl
Fast Training of Sparse Graph Neural Networks on Dense Hardware.
CoRR
Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li, Daniel Tarlow
2018 A* conf
Differentially Private Database Release via Kernel Mean Embeddings.
ICML
Matej Balog, Ilya O. Tolstikhin, Bernhard Schölkopf
2017 — conf
DeepCoder: Learning to Write Programs.
ICLR (Poster)
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
2017 A* conf
Lost Relatives of the Gumbel Trick.
ICML
Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller
2017 J jnl
Lost Relatives of the Gumbel Trick.
CoRR
Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller
2016 J jnl
DeepCoder: Learning to Write Programs.
CoRR
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
2016 A conf
The Mondrian Kernel.
UAI
Matej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh
2015 J jnl
The Mondrian Process for Machine Learning.
CoRR
Matej Balog, Yee Whye Teh