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Matej Balog

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • quant-ph1
ORCID 0000-0002-5552-9855

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedDeepCoder: Learning to Write Programs

229 citations · 245 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025★ 13 cited

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15

In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances capabilities of state-of-the-art LLMs on highly challenging tasks such as tack…

cs.LG2024★ 1 cited

Amplifying human performance in combinatorial competitive programming

Petar Veličković, Alex Vitvitskyi, Larisa Markeeva +4

Recent years have seen a significant surge in complex AI systems for competitive programming, capable of performing at admirable levels against human competitors. While steady prog…

quant-ph2024★ 2 cited

Quantum Circuit Optimization with AlphaTensor

Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch +10

A key challenge in realizing fault-tolerant quantum computers is circuit optimization. Focusing on the most expensive gates in fault-tolerant quantum computation (namely, the T gat…

cs.LG2016★ 229 cited

DeepCoder: Learning to Write Programs

Matej Balog, Alexander L. Gaunt, Marc Brockschmidt +2

We develop a first line of attack for solving programming competition-style problems from input-output examples using deep learning. The approach is to train a neural network to pr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.