FH
Ferenc Huszar
cs.LGstat.MLcs.CVcs.AIcs.CYstat.MEcs.CLcs.DCcs.SIstat.AP
On Valency
published · living versionsW_j35cphqe·v1 · currentpublished
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
with Christian Ledig, Lucas Theis, Jose Caballero, Andrew Cunningham +6
1 version
Preprints & journals
37 papers in the corpus · 2011–2026TLA-Verus: Generating and Solving Temporal Proof Obligations with LLM Agents2610.14923v2 · Kseniia Strelbytska, Bal'azs Szil'agyi, Anna M'esz'aros et al.2026 · 0 citationsarXiv
In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?2504.12914v1 · Ben Bucknall, Saad Siddiqui, Lara Thurnherr et al.2025 · 2 citationsarXiv
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts2409.13728v2 · Anna M'esz'aros, Szilvia Ujv'ary, Wieland Brendel et al.2024 · 0 citationsarXiv
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning2406.14302v3 · Patrik Reizinger, Siyuan Guo, Ferenc Husz'ar et al.2024 · 0 citationsarXiv
Do Finetti: On Causal Effects for Exchangeable Data2405.18836v1 · Siyuan Guo, Chi Zhang, Karthika Mohan et al.2024 · 1 citationarXiv
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs2405.15485v1 · Siyuan Guo, Aniket Didolkar, Nan Rosemary Ke et al.2024 · 0 citationsarXiv
Recurrent Early Exits for Federated Learning with Heterogeneous Clients2405.14791v2 · Royson Lee, Javier Fernandez-Marques, Shell Xu Hu et al.2024 · 3 citationsarXiv
Position: Understanding LLMs Requires More Than Statistical Generalization2405.01964v3 · Patrik Reizinger, Szilvia Ujv'ary, Anna M'esz'aros et al.2024 · 2 citationsarXiv
FedL2P: Federated Learning to Personalize2310.02420v1 · Royson Lee, Minyoung Kim, Da Li et al.2023 · 13 citationsarXiv
Erratum: Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.37602212 · Lazovich, Tomo, Belli, Luca, Gonzales, Aaron et al.2023 · 0 citationsPatterns (New York, N.Y.). 2023;4(8):100822
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation2212.07886v2 · Royson Lee, Rui Li, Stylianos I. Venieris et al.2022 · 9 citationsarXiv
Rethinking Sharpness-Aware Minimization as Variational Inference2210.10452v1 · Szilvia Ujv'ary, Zsigmond Telek, Anna Kerekes et al.2022 · 0 citationsarXiv
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.36033598 · Lazovich, Tomo, Belli, Luca, Gonzales, Aaron et al.2023 · 38 citationsPatterns (New York, N.Y.). 2022;3(8):100568
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data2203.15756v3 · Siyuan Guo, Viktor T'oth, Bernhard Scholkopf et al.2022 · 5 citationsarXiv
Algorithmic amplification of politics on Twitter.34934011 · Huszár, Ferenc, Ktena, Sofia Ira, O'Brien, Conor et al.2022 · 419 citationsProceedings of the National Academy of Sciences of the United States of America. 2022;119(1)
Depth Without the Magic: Inductive Bias of Natural Gradient Descent2111.11542v1 · Anna Kerekes, Anna M'esz'aros, Ferenc Husz'ar2021 · 1 citationarXiv
Efficient Wasserstein Natural Gradients for Reinforcement Learning2010.05380v4 · Ted Moskovitz, Michael Arbel, Ferenc Huszar et al.2020 · 1 citationarXiv
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations2008.00727v1 · Dalin Guo, Sofia Ira Ktena, Ferenc Huszar et al.2020 · 34 citationsarXiv
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems2007.14523v1 · Caojin Zhang, Yicun Liu, Yuanpu Xie et al.2020 · 45 citationsarXiv
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction1907.06558v2 · Sofia Ira Ktena, Alykhan Tejani, Lucas Theis et al.2019 · 57 citationsarXiv
Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices1807.02175v1 · Katherine Storrs, Sebastiaan Van Leuven, Steve Kojder et al.2018 · 5 citationsPicture Coding Symposium, 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data1802.07535v3 · Iryna Korshunova, Jonas Degrave, Ferenc Husz'ar et al.2018 · 14 citationsarXiv
Note on the quadratic penalties in elastic weight consolidation.29463735 · Huszár, Ferenc2018 · 133 citationsProceedings of the National Academy of Sciences of the United States of America. 2018;115(11):E2496-E2497
Faster gaze prediction with dense networks and Fisher pruning1801.05787v2 · Lucas Theis, Iryna Korshunova, Alykhan Tejani et al.2018 · 119 citationsarXiv
Lossy Image Compression with Compressive Autoencoders1703.00395v1 · Lucas Theis, Wenzhe Shi, Andrew Cunningham et al.2017 · 580 citationsarXiv
Variational Inference using Implicit Distributions1702.08235v1 · Ferenc Husz'ar2017 · 57 citationsarXiv
Amortised MAP Inference for Image Super-resolution1610.04490v3 · Casper Kaae S\onderby, Jose Caballero, Lucas Theis et al.2016 · 302 citationsarXiv
Is the deconvolution layer the same as a convolutional layer?1609.07009v1 · Wenzhe Shi, Jose Caballero, Lucas Theis et al.2016 · 113 citationsarXiv
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network1609.05158v2 · Wenzhe Shi, Jose Caballero, Ferenc Husz'ar et al.2016 · 7,512 citationsarXiv
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network1609.04802v5 · Christian Ledig, Lucas Theis, Ferenc Huszar et al.2016 · 13,045 citationsarXivon Valency
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?1511.05101v1 · Ferenc Husz'ar2015 · 181 citationsarXiv
Optimally-Weighted Herding is Bayesian Quadrature1408.2049v2 · Ferenc Huszar, David Duvenaud2014 · 35 citationsarXiv
Cognitive tomography reveals complex, task-independent mental representations.24354016 · Houlsby, Neil M T, Huszár, Ferenc, Ghassemi, Mohammad M et al.2014 · 57 citationsCurrent biology : CB. 2013;23(21):2169-75
Optimally-Weighted Herding is Bayesian Quadrature1204.1664v3 · Ferenc Husz'ar, David Duvenaud2012 · 31 citationsarXiv
Bayesian Active Learning for Classification and Preference Learning1112.5745v1 · Neil Houlsby, Ferenc Husz'ar, Zoubin Ghahramani et al.2011 · 486 citationsarXiv
Adaptive Bayesian Quantum Tomography1107.0895v2 · Ferenc Husz'ar, Neil M. T. Houlsby2011 · 171 citationsarXiv
A Kernel Approach to Tractable Bayesian Nonparametrics1103.1761v3 · Ferenc Husz'ar, Simon Lacoste-Julien2011 · 2 citationsarXiv
Career total: 56 works. 37 are in this corpus.
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