Ferenc Huszár

1. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
   2016/09/16 by Wenzhe Shi, José Caballero, Shi, Wenzhe +13 · 107 citations
   Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Image Processing Techniques and Applications
2. Lossy Image Compression with Compressive Autoencoders
   2017/03/01 by Lucas Theis, Theis, Lucas, Wenzhe Shi +5 · 50 citations
   Computer Science · #Advanced Data Compression Techniques #Image and Signal Denoising Methods #Advanced Image Processing Techniques
3. Algorithmic amplification of politics on Twitter
   2021/10/21 by Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien +4 · 2 voices · 12 citations
   Physics and Astronomy · Social Sciences · #Computational and Text Analysis Methods #Opinion Dynamics and Social Influence #Social Media and Politics #cs.CY #cs.SI
4. How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
   2015/11/16 by Ferenc Huszár, Huszár, Ferenc · 20 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
5. Amortised MAP Inference for Image Super-resolution
   2016/10/14 by Casper Kaae Sønderby, J. A. Caballero, Sønderby, Casper Kaae +7 · 16 citations
   Computer Science · Engineering · #Advanced Image Processing Techniques #Image Processing Techniques and Applications #Advanced Vision and Imaging
6. Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
   2022/03/29 by Siyuan Guo, Viktor R. Tóth, Guo, Siyuan +5 · 9 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Neural Networks and Applications #Statistics Theory (math.ST)
7. Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction
   2019/07/15 by Sofia Ira Ktena, Ktena, Sofia Ira, Alykhan Tejani +13 · 5 citations
   Computer Science · #Data Stream Mining Techniques #Image and Video Quality Assessment #Mobile Crowdsensing and Crowdsourcing
8. Deep Bayesian Bandits: Exploring in Online Personalized Recommendations
   2020/08/03 by Dalin Guo, Guo, Dalin, Sofia Ira Ktena +9 · 4 citations
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Recommender Systems and Techniques #Smart Grid Energy Management
9. Do Finetti: On Causal Effects for Exchangeable Data
   2024/05/29 by Siyuan Guo, Chi Zhang, Guo, Siyuan +7 · 1 voice · 3 citations
   Economics, Econometrics and Finance · #Italy: Economic History and Contemporary Issues #cs.LG #stat.ME
10. Position: Understanding LLMs Requires More Than Statistical Generalization
    2024/05/03 by Patrik Reizinger, Szilvia Ujváry, Reizinger, Patrik +9 · 2 voices · 3 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
11. BRUNO: A Deep Recurrent Model for Exchangeable Data
    2018/02/21 by Iryna Korshunova, Jonas Degrave, Korshunova, Iryna +9 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning in Healthcare
12. Optimally-Weighted Herding is Bayesian Quadrature
    2014/08/09 by Ferenc Huszár, David Duvenaud, Huszar, Ferenc +1 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Water Systems and Optimization
13. Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
    2024/09/09 by Anna Mészáros, Szilvia Ujváry, Mészáros, Anna +7 · 1 voice · 2 citations
    Computer Science · Mathematics · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #cs.CL #cs.LG #stat.ML
14. In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?
    2025/04/17 by Ben Bucknall, Saad Siddiqui, Bucknall, Ben +41 · 2 voices · 1 citation
    #cs.CY
15. Beyond the Boundaries of Proximal Policy Optimization
    2024/11/01 by Charlie B. Tan, Edan Toledo, Tan, Charlie B. +7 · 1 citation
    Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Economic Policies and Impacts #FOS: Computer and information sciences #Machine Learning (cs.LG)