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Items where Author is "Csiszárik, Adrián"

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Number of items: 7.

Csiszárik, Adrián and F. Kiss, Melinda and Kőrösi-Szabó, Péter and Muntag, Márton and Papp, Gergely and Varga, Dániel (2024) Mode combinability: Exploring convex combinations of permutation aligned models. NEURAL NETWORKS, 173. ISSN 0893-6080

Ambrus, Gergely and Csiszárik, Adrián and Matolcsi, Máté and Varga, Dániel and Zsámboki, Pál (2023) The density of planar sets avoiding unit distances. MATHEMATICAL PROGRAMMING. ISSN 0025-5610 (In Press)

Csiszárik, Adrián and Kőrösi-Szabó, Péter and Matszangosz, Ákos K. and Papp, Gergely and Varga, Dániel (2021) Similarity and Matching of Neural Network Representations. In: Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021.12.06-14., online.

Zombori, Zsolt and Csiszárik, Adrián and Michalewski, Henryk and Kaliszyk, Cezary and Urban, Josef (2021) Towards Finding Longer Proofs. In: Automated Reasoning with Analytic Tableaux and Related Methods : 30th International Conference, TABLEAUX 2021, Birmingham, UK, September 6–9, 2021, Proceedings. Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence (12842). Springer Nature Switzerland AG. (Springer Nature), Cham, pp. 1-25. ISBN 978-3-030-86058-5 (softcover); 978-3-030-86059-2 (eBook)

Zombori, Zsolt and Csiszárik, Adrián and Michalewski, Henryk and Kaliszyk, Cezary and Urban, Josef (2020) Update on FLoP, a Reinforcement Learning based Theorem Prover. In: 5th Conference on Artificial Intelligence and Theorem Proving, 2020.09.13-2020.09.19, Aussois.

Csiszárik, Adrián and Benkő, Beatrix and Varga, Dániel (2019) Negative Sampling in Variational Autoencoders. In: 4th Workshop on Bayesian Deep Learning (NeurIPS 2019), 2019.12.13, Vancouver, Canada.

Varga, Dániel and Csiszárik, Adrián and Zombori, Zsolt (2018) Gradient Regularization Improves Accuracy of Discriminative Models. Schedae Informaticae, 27. pp. 31-45. ISSN 0860-0295

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