Ferenc Huszar
14 papers · 2011–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Keyword Champion
(4)
🗃️
Keyword Collector
(73)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(12)
Deep Learning
(7)
Core AI
(7)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core Methods
(4)
Learning Paradigms
(4)
Optimization & Theory
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Computer Vision
(2)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Keywords
exchangeable data
(4)
causal discovery
(3)
variational inference
(3)
bayesian inference
(2)
causal structure
(2)
generative adversarial network
(2)
image restoration
(2)
in-context learning
(2)
federated learning
(2)
few-shot learning
(1)
policy gradient
(1)
reinforcement learning
(1)
gaussian processes
(1)
transformer architecture
(1)
anomaly detection
(1)
causal effect estimation
(1)
representation learning
(1)
kl divergence
(1)
preference learning
(1)
collaborative filtering
(1)
Papers
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
ICLR 2025
Do Finetti: On Causal Effects for Exchangeable Data
NeurIPS 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation
WACV 2024
Position: Understanding LLMs Requires More Than Statistical Generalization
ICML 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
NeurIPS 2024
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NeurIPS 2023
FedL2P: Federated Learning to Personalize
NeurIPS 2023
Efficient Wasserstein Natural Gradients for Reinforcement Learning
ICLR 2021
BRUNO: A Deep Recurrent Model for Exchangeable Data
NeurIPS 2018
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
CVPR 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
CVPR 2016
Collaborative Gaussian Processes for Preference Learning
NeurIPS 2012
Approximate inference for the loss-calibrated Bayesian
AISTATS 2011