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researcher

András György

4 papers here

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

author position
  • first author1
  • middle author1
  • last author2

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

fields
  • cs.LG3
  • cs.AI1
ORCID 0000-0003-0586-4337
same name
  • András György — 2 papers, h 1
  • András György — 2 papers, h 3
  • András György — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedPerceptually Constrained Adversarial Attacks

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

András György, Tor Lattimore, Nevena Lazić +1

Sound deductive reasoning -- the ability to derive new knowledge from existing facts and rules -- is an indisputably desirable aspect of general intelligence. Despite the major adv…

cs.LG2024

Toward Understanding In-context vs. In-weight Learning

Bryan Chan, Xinyi Chen, András György +1

It has recently been demonstrated empirically that in-context learning emerges in transformers when certain distributional properties are present in the training data, but this abi…

cs.LG2021

TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions

Gellért Weisz, Csaba Szepesvári, András György

We consider the minimax query complexity of online planning with a generative model in fixed-horizon Markov decision processes (MDPs) with linear function approximation. Following…

cs.LG2021★ 2 cited

Perceptually Constrained Adversarial Attacks

Muhammad Zaid Hameed, Andras Gyorgy

Motivated by previous observations that the usually applied Lp​ norms (p=1,2,∞) do not capture the perceptual quality of adversarial examples in image classification, we p…

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