Flamich, Gergely

10 publications

NeurIPS 2024 Accelerating Relative Entropy Coding with Space Partitioning Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato

NeurIPSW 2024 Getting Free Bits Back from Rotational Symmetries in LLMs Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato

ICLR 2024 RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato

NeurIPS 2023 Compression with Bayesian Implicit Neural Representations Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato

NeurIPSW 2023 Estimating Optimal PAC-Bayes Bounds with Hamiltonian Monte Carlo Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, José Miguel Hernández-Lobato

NeurIPS 2023 Faster Relative Entropy Coding with Greedy Rejection Coding Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato

NeurIPS 2023 Greedy Poisson Rejection Sampling Gergely Flamich

ICMLW 2023 Minimal Random Code Learning with Mean-KL Parameterization Jihao Andreas Lin, Gergely Flamich, José Miguel Hernández-Lobato

ICML 2022 Fast Relative Entropy Coding with A* Coding Gergely Flamich, Stratis Markou, Jose Miguel Hernandez-Lobato

NeurIPS 2020 Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato