Ferenc Huszar
14 papers · 2011–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (14)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Keyword Champion
(3)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(56)
π
Trend Setter
π
Century Club
(14)
β‘
Prolific Year
(5)
Conferences
NIPS (6)
CVPR (2)
ICLR (2)
ICML (2)
AISTATS (1)
WACV (1)
Top co-authors
Keywords
exchangeable datum
(3)
variational inference
(3)
bayesian inference
(2)
causal discovery
(2)
image restoration
(2)
generative adversarial network
(2)
preference learning
(1)
approximate inference
(1)
transformer architecture
(1)
gaussian processes
(1)
compositional generalization
(1)
collaborative filtering
(1)
few-shot learning
(1)
in-context learning
(1)
video super-resolution
(1)
anomaly detection
(1)
image reconstruction
(1)
out-of-distribution generalization
(1)
causal effect estimation
(1)
dimensionality reduction
(1)
Papers
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
ICLR 2025
Do Finetti: On Causal Effects for Exchangeable Data
NIPS 2024
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
NIPS 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation
WACV 2024
Position: Understanding LLMs Requires More Than Statistical Generalization
ICML 2024
FedL2P: Federated Learning to Personalize
NIPS 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NIPS 2023
Efficient Wasserstein Natural Gradients for Reinforcement Learning
ICLR 2021
BRUNO: A Deep Recurrent Model for Exchangeable Data
NIPS 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
NIPS 2012
Approximate inference for the loss-calibrated Bayesian
AISTATS 2011