Gergely Flamich

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Compression Scheme

Space Partitioning

Top Venues

Publications

Gergely Flamich, Lennie Wells
Some Notes on the Sample Complexity of Approximate Channel Simulation. CoRR (2024)
Gergely Flamich, Lennie Wells
Some Notes on the Sample Complexity of Approximate Channel Simulation. ISIT (Workshops) (2024)
Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations. ICLR (2024)
Daniel Goc, Gergely Flamich
On Channel Simulation with Causal Rejection Samplers. CoRR (2024)
Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
Accelerating Relative Entropy Coding with Space Partitioning. CoRR (2024)
Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato
Compression with Bayesian Implicit Neural Representations. NeurIPS (2023)
Gergely Flamich
Greedy Poisson Rejection Sampling. NeurIPS (2023)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Faster Relative Entropy Coding with Greedy Rejection Coding. CoRR (2023)
Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations. CoRR (2023)
Gergely Flamich
Greedy Poisson Rejection Sampling. CoRR (2023)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Faster Relative Entropy Coding with Greedy Rejection Coding. NeurIPS (2023)
Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato
Compression with Bayesian Implicit Neural Representations. CoRR (2023)
Gergely Flamich, Lucas Theis
Adaptive Greedy Rejection Sampling. ISIT (2023)
Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, José Miguel Hernández-Lobato
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo. CoRR (2023)
Jihao Andreas Lin, Gergely Flamich, José Miguel Hernández-Lobato
Minimal Random Code Learning with Mean-KL Parameterization. CoRR (2023)
Gergely Flamich, Lucas Theis
Adaptive Greedy Rejection Sampling. CoRR (2023)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Fast Relative Entropy Coding with A* coding. ICML (2022)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Fast Relative Entropy Coding with A* coding. CoRR (2022)
Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding. CoRR (2020)
Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding. NeurIPS (2020)
Hui-Shyong Yeo, Gergely Flamich, Patrick Schrempf, David Harris-Birtill, Aaron Quigley
RadarCat: Radar Categorization for Input & Interaction. UIST (2016)