Gergely Flamich
7 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)
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Research topics
Deep Learning
(6)
Machine Learning
(5)
Mathematics & Optimization
(4)
Models
(4)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Core Methods
(2)
Learning Types
(2)
Mathematics
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Computer Vision
(1)
Bayesian & Probabilistic
(1)
Keywords
relative entropy coding
(5)
variational autoencoder
(4)
image compression
(2)
implicit neural representation
(2)
rejection sampling
(2)
lossless compression
(2)
lossy compression
(2)
data compression
(2)
kl divergence
(2)
hierarchical prior
(1)
a* sampling
(1)
rate-distortion optimization
(1)
bits-back coding
(1)
channel simulation
(1)
variational bayesian neural network
(1)
neural data compression
(1)
differential privacy
(1)
optimal runtime
(1)
stochastic gradient
(1)
variational inference
(1)
Papers
Accelerating Relative Entropy Coding with Space Partitioning
NeurIPS 2024
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
ICLR 2024
Compression with Bayesian Implicit Neural Representations
NeurIPS 2023
Faster Relative Entropy Coding with Greedy Rejection Coding
NeurIPS 2023
Greedy Poisson Rejection Sampling
NeurIPS 2023
Fast Relative Entropy Coding with A* coding
ICML 2022
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
NeurIPS 2020