Huszár, Ferenc
- Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
2016/09/16 by Wenzhe Shi, Shi, Wenzhe, José Caballero +13 · 97 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Image Processing Techniques and Applications
- Bayesian Active Learning for Classification and Preference Learning
2011/12/24 by Houlsby, Neil, Huszár, Ferenc, Ghahramani, Zoubin +1 · 51 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Lossy Image Compression with Compressive Autoencoders
2017/03/01 by Lucas Theis, Wenzhe Shi, Theis, Lucas +5 · 48 citations
Computer Science · #Advanced Data Compression Techniques #Image and Signal Denoising Methods #Advanced Image Processing Techniques
- Faster gaze prediction with dense networks and Fisher pruning
2018/01/17 by Theis, Lucas, Korshunova, Iryna, Tejani, Alykhan +1 · 10 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
2015/11/16 by Ferenc Huszár, Huszár, Ferenc · 14 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
- Amortised MAP Inference for Image Super-resolution
2016/10/14 by Casper Kaae Sønderby, J. A. Caballero, Sønderby, Casper Kaae +7 · 14 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Image Processing Techniques and Applications #Advanced Vision and Imaging
- 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 · 8 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)
- Optimally-Weighted Herding is Bayesian Quadrature
2012/04/07 by Huszár, Ferenc, Duvenaud, David · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #G.1.4 #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- Variational Inference using Implicit Distributions
2017/02/27 by Huszár, Ferenc · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Recurrent Early Exits for Federated Learning with Heterogeneous Clients
2024/05/23 by Lee, Royson, Fernandez-Marques, Javier, Hu, Shell Xu +6 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- 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
- Do Finetti: On Causal Effects for Exchangeable Data
2024/05/29 by Siyuan Guo, Guo, Siyuan, Chi Zhang +7 · 1 voice · 2 citations
Economics, Econometrics and Finance · #Italy: Economic History and Contemporary Issues #cs.LG #stat.ME
- BRUNO: A Deep Recurrent Model for Exchangeable Data
2018/02/21 by Iryna Korshunova, Korshunova, Iryna, Jonas Degrave +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
- Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
2024/09/09 by Anna Mészáros, Mészáros, Anna, Szilvia Ujváry +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
- 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
- Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs
2024/05/24 by Guo, Siyuan, Didolkar, Aniket, Ke, Nan Rosemary +3 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Beyond the Boundaries of Proximal Policy Optimization
2024/11/01 by Charlie B. Tan, Tan, Charlie B., Edan Toledo +7 · 1 citation
Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Economic Policies and Impacts #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
2024/06/20 by Reizinger, Patrik, Guo, Siyuan, Huszár, Ferenc +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)