Gergely Flamich

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All published works

Action	Title	Year	Authors
+ PDF Chat	The Redundancy of Non-Singular Channel Simulation	2025	Gergely Flamich Sharang M. Sriramu Aaron B. Wagner
+ PDF Chat	Getting Free Bits Back from Rotational Symmetries in LLMs	2024	Jiajun He Gergely Flamich José Miguel Hernández-Lobato
+ PDF Chat	Some Notes on the Sample Complexity of Approximate Channel Simulation	2024	Gergely Flamich Lennie Wells
+ PDF Chat	On Channel Simulation with Causal Rejection Samplers	2024	Daniel Goc Gergely Flamich
+ PDF Chat	Accelerating Relative Entropy Coding with Space Partitioning	2024	Jiajun He Gergely Flamich José Miguel Hernández-Lobato
+ PDF Chat	Some Notes on the Sample Complexity of Approximate Channel Simulation	2024	Gergely Flamich Lennie Wells
+ PDF Chat	On Channel Simulation with Causal Rejection Samplers	2024	Daniel Goc Gergely Flamich
+	Adaptive Greedy Rejection Sampling	2023	Gergely Flamich Lucas Theis
+	Greedy Poisson Rejection Sampling	2023	Gergely Flamich
+	Compression with Bayesian Implicit Neural Representations	2023	Zongyu Guo Gergely Flamich Jiajun He Zhibo Chen José Miguel Hernández-Lobato
+	Minimal Random Code Learning with Mean-KL Parameterization	2023	Jihao Andreas Lin Gergely Flamich José Miguel Hernández-Lobato
+	Faster Relative Entropy Coding with Greedy Rejection Coding	2023	Gergely Flamich Stratis Markou Jose Miguel Hernandez Lobato
+	RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations	2023	Jiajun He Gergely Flamich Zongyu Guo José Miguel Hernández-Lobato
+	Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo	2023	Szilvia Ujváry Gergely Flamich Vincent Fortuin José Miguel Hernández Lobato
+	Fast Relative Entropy Coding with A* coding	2022	Gergely Flamich Stratis Markou José Miguel Hernández-Lobato
+	Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding	2020	Gergely Flamich Marton Havasi José Miguel Hernández-Lobato
+	Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding	2020	Gergely Flamich Marton Havasi José Miguel Hernández-Lobato
+	Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding	2020	Gergely Flamich Marton Havasi José Miguel Hernández-Lobato

Common Coauthors

Coauthor	Papers Together
José Miguel Hernández-Lobato	9
Jiajun He	4
Marton Havasi	3
Stratis Markou	2
Daniel Goc	2
Zongyu Guo	2
Lennie Wells	2
Sharang M. Sriramu	1
Lucas Theis	1
Jose Miguel Hernandez Lobato	1
Szilvia Ujváry	1
José Miguel Hernández Lobato	1
Aaron B. Wagner	1
Jihao Andreas Lin	1
Zhibo Chen	1
Vincent Fortuin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding	2020	Gergely Flamich Marton Havasi José Miguel Hernández-Lobato	3
+	A Unified Framework for One-Shot Achievability via the Poisson Matching Lemma	2021	Cheuk Ting Li Venkat Anantharam	2
+	Lossy Compression with Gaussian Diffusion	2022	Lucas Theis Tim Salimans Matthew D. Hoffman Fabian Mentzer	2
+	Universally Quantized Neural Compression	2020	Eirikur Agustsson Lucas Theis	2
+ PDF Chat	Strong Functional Representation Lemma and Applications to Coding Theorems	2018	Cheuk Ting Li Abbas El Gamal	2
+	Joint autoregressive and hierarchical priors for learned image compression	2018	David Minnen Johannes Ballé George Toderici	1
+	Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters	2018	Marton Havasi Robert Peharz José Miguel Hernández-Lobato	1
+	Context-adaptive Entropy Model for End-to-end Optimized Image Compression	2018	Jooyoung Lee Seung-Hyun Cho Seungkwon Beack	1
+	End-to-end Optimized Image Compression	2016	Johannes Ballé Valero Laparra Eero P. Simoncelli	1
+ PDF Chat	Strong functional representation lemma and applications to coding theorems	2017	Cheuk Ting Li Abbas El Gamal	1
+ PDF Chat	The sample size required in importance sampling	2018	Sourav Chatterjee Persi Diaconis	1
+	Minimal random code learning : Getting bits back from compressed model parameters	2019	Marton Havasi Robert Peharz José Miguel Hernández-Lobato	1
+	Practical lossless compression with latent variables using bits back coding	2019	James T. Townsend Thomas Bird David Barber	1
+	Variational image compression with a scale hyperprior	2018	Johannes Ballé David Minnen Saurabh Singh Sung Jin Hwang Nick Johnston	1
+	HiLLoC: lossless image compression with hierarchical latent variable models	2020	James T. Townsend Thomas Bird Julius Kunze David Barber	1
+	Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding	2020	Yibo Yang Robert Bamler Stephan Mandt	1
+ PDF Chat	Channel-Wise Autoregressive Entropy Models for Learned Image Compression	2020	David Minnen Saurabh Singh	1
+ PDF Chat	Nonlinear Transform Coding	2020	Johannes Ballé Philip A. Chou David Minnen Saurabh Singh Nick Johnston Eirikur Agustsson Sung Jin Hwang George Toderici	1
+ PDF Chat	Hypothesis Testing, Information Divergence and Computational Geometry	2013	Frank Nielsen	1
+	Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective	2022	Robert Bamler	1
+	Fast Relative Entropy Coding with A* coding	2022	Gergely Flamich Stratis Markou José Miguel Hernández-Lobato	1
+	Optimal Compression of Locally Differentially Private Mechanisms	2021	Abhin Shah Wei-Ning Chen Johannes Ballé Peter Kairouz Lucas Theis	1
+	Algorithms for the Communication of Samples	2021	Lucas Theis Noureldin Yosri	1
+	The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning	2023	Adam Block Yury Polyanskiy	1
+	Greedy Poisson Rejection Sampling	2023	Gergely Flamich	1
+	Compression with Bayesian Implicit Neural Representations	2023	Zongyu Guo Gergely Flamich Jiajun He Zhibo Chen José Miguel Hernández-Lobato	1
+ PDF Chat	Uniform Treatment of Integral Majorization Inequalities with Applications to Hermite-Hadamard-Fejér-Type Inequalities and f-Divergences	2023	László Horváth	1
+ PDF Chat	Vector Quantization with Error Uniformly Distributed over an Arbitrary Set	2023	Chih Wei Ling Cheuk Ting Li	1
+	Faster Relative Entropy Coding with Greedy Rejection Coding	2023	Gergely Flamich Stratis Markou Jose Miguel Hernandez Lobato	1
+ PDF Chat	What makes an image realistic?	2024	Lucas Theis	1
+	Communication-Efficient Laplace Mechanism for Differential Privacy via Random Quantization	2024	Ali Moradi Shahmiri Chih Wei Ling Cheuk Ting Li	1
+ PDF Chat	On some inequalities for the gamma and psi functions	1997	Horst Alzer	1
+ PDF Chat	On Channel Simulation with Causal Rejection Samplers	2024	Daniel Goc Gergely Flamich	1
+ PDF Chat	Communication requirements for generating correlated random variables	2008	Paul Cuff	1
+ PDF Chat	Entanglement-assisted capacity of a quantum channel and the reverse Shannon theorem	2002	C. H. Bennett Peter W. Shor John A. Smolin Ashish V. Thapliyal	1
+ PDF Chat	A Poisson Process Model for Monte Carlo	2016	Chris J. Maddison	1
+ PDF Chat	End-to-end optimization of nonlinear transform codes for perceptual quality	2016	Johannes Ballé Valero Laparra Eero P. Simoncelli	1