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2020 – today
- 2024
[c10]Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato:
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations. ICLR 2024- [c9]Gergely Flamich, Lennie Wells:
Some Notes on the Sample Complexity of Approximate Channel Simulation. ISIT (Workshops) 2024: 1-6 - [c8]Daniel Goc, Gergely Flamich:
On Channel Simulation with Causal Rejection Samplers. ISIT 2024: 1682-1687 - [i12]Daniel Goc, Gergely Flamich:
On Channel Simulation with Causal Rejection Samplers. CoRR abs/2401.16579 (2024) - [i11]Gergely Flamich, Lennie Wells:
Some Notes on the Sample Complexity of Approximate Channel Simulation. CoRR abs/2405.04363 (2024) - [i10]Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato:
Accelerating Relative Entropy Coding with Space Partitioning. CoRR abs/2405.12203 (2024) - 2023
- [c7]Gergely Flamich
, Lucas Theis:
Adaptive Greedy Rejection Sampling. ISIT 2023: 454-459 - [c6]Gergely Flamich:
Greedy Poisson Rejection Sampling. NeurIPS 2023 - [c5]Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato:
Faster Relative Entropy Coding with Greedy Rejection Coding. NeurIPS 2023 - [c4]Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato:
Compression with Bayesian Implicit Neural Representations. NeurIPS 2023 - [i9]Gergely Flamich, Lucas Theis:
Adaptive Greedy Rejection Sampling. CoRR abs/2304.10407 (2023) - [i8]Gergely Flamich:
Greedy Poisson Rejection Sampling. CoRR abs/2305.15313 (2023) - [i7]Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato:
Compression with Bayesian Implicit Neural Representations. CoRR abs/2305.19185 (2023) - [i6]Jihao Andreas Lin, Gergely Flamich, José Miguel Hernández-Lobato:
Minimal Random Code Learning with Mean-KL Parameterization. CoRR abs/2307.07816 (2023) - [i5]Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato:
Faster Relative Entropy Coding with Greedy Rejection Coding. CoRR abs/2309.15746 (2023) - [i4]Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato:
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations. CoRR abs/2309.17182 (2023) - [i3]Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, José Miguel Hernández-Lobato:
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo. CoRR abs/2310.20053 (2023) - 2022
- [c3]Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato:
Fast Relative Entropy Coding with A* coding. ICML 2022: 6548-6577 - [i2]Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato:
Fast Relative Entropy Coding with A* coding. CoRR abs/2201.12857 (2022) - 2020
- [c2]Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato:
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding. NeurIPS 2020 - [i1]Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato:
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding. CoRR abs/2010.01185 (2020)
2010 – 2019
- 2016
- [c1]Hui-Shyong Yeo, Gergely Flamich, Patrick Schrempf, David Harris-Birtill, Aaron Quigley:
RadarCat: Radar Categorization for Input & Interaction. UIST 2016: 833-841
Coauthor Index
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