Gergely Flamich

29 papers A* 8B 3Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data Compression with Stochastic Codes.
CoRR
Gergely Flamich, Deniz Gündüz
2025 J jnl
Data Compression with Relative Entropy Coding.
CoRR
Gergely Flamich
2025 B conf
The Redundancy of Non-Singular Channel Simulation.
ISIT
Gergely Flamich, Sharang M. Sriramu, Aaron B. Wagner
2025 J jnl
The Redundancy of Non-Singular Channel Simulation.
CoRR
Gergely Flamich, Sharang M. Sriramu, Aaron B. Wagner
2025 J jnl
You Cannot Feed Two Birds with One Score: the Accuracy-Naturalness Tradeoff in Translation.
CoRR
Gergely Flamich, David Vilar, Jan-Thorsten Peter, Markus Freitag
2024 A* conf
Accelerating Relative Entropy Coding with Space Partitioning.
NeurIPS
Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
2024 J jnl
Accelerating Relative Entropy Coding with Space Partitioning.
CoRR
Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
2024 J jnl
Getting Free Bits Back from Rotational Symmetries in LLMs.
CoRR
Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
2024 B conf
On Channel Simulation with Causal Rejection Samplers.
ISIT
Daniel Goc, Gergely Flamich
2024 J jnl
On Channel Simulation with Causal Rejection Samplers.
CoRR
Daniel Goc, Gergely Flamich
2024 A* conf
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations.
ICLR
Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato
2024 — conf
Some Notes on the Sample Complexity of Approximate Channel Simulation.
ISIT (Workshops)
Gergely Flamich, Lennie Wells
2024 J jnl
Some Notes on the Sample Complexity of Approximate Channel Simulation.
CoRR
Gergely Flamich, Lennie Wells
2023 B conf
Adaptive Greedy Rejection Sampling.
ISIT
Gergely Flamich, Lucas Theis
2023 J jnl
Adaptive Greedy Rejection Sampling.
CoRR
Gergely Flamich, Lucas Theis
2023 A* conf
Compression with Bayesian Implicit Neural Representations.
NeurIPS
Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato
2023 J jnl
Compression with Bayesian Implicit Neural Representations.
CoRR
Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato
2023 J jnl
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo.
CoRR
Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, José Miguel Hernández-Lobato
2023 A* conf
Faster Relative Entropy Coding with Greedy Rejection Coding.
NeurIPS
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
2023 J jnl
Faster Relative Entropy Coding with Greedy Rejection Coding.
CoRR
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
2023 A* conf
Greedy Poisson Rejection Sampling.
NeurIPS
Gergely Flamich
2023 J jnl
Greedy Poisson Rejection Sampling.
CoRR
Gergely Flamich
2023 J jnl
Minimal Random Code Learning with Mean-KL Parameterization.
CoRR
Jihao Andreas Lin, Gergely Flamich, José Miguel Hernández-Lobato
2023 J jnl
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations.
CoRR
Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato
2022 A* conf
Fast Relative Entropy Coding with A* coding.
ICML
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
2022 J jnl
Fast Relative Entropy Coding with A* coding.
CoRR
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
2020 A* conf
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding.
NeurIPS
Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato
2020 J jnl
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding.
CoRR
Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato
2016 A* conf
RadarCat: Radar Categorization for Input & Interaction.
UIST
Hui-Shyong Yeo, Gergely Flamich, Patrick Schrempf, David Harris-Birtill, Aaron Quigley