Gergely Flamich

According to our database, Gergely Flamich authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Getting Free Bits Back from Rotational Symmetries in LLMs.

Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato

CoRR, 2024

Accelerating Relative Entropy Coding with Space Partitioning.

Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato

CoRR, 2024

On Channel Simulation with Causal Rejection Samplers.

Daniel Goc, Gergely Flamich

Proceedings of the IEEE International Symposium on Information Theory, 2024

Some Notes on the Sample Complexity of Approximate Channel Simulation.

Gergely Flamich, Lennie Wells

Proceedings of the IEEE International Symposium on Information Theory, 2024

RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations.

Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo.

Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, José Miguel Hernández-Lobato

CoRR, 2023

Minimal Random Code Learning with Mean-KL Parameterization.

Jihao Andreas Lin, Gergely Flamich, José Miguel Hernández-Lobato

CoRR, 2023

Compression with Bayesian Implicit Neural Representations.

Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faster Relative Entropy Coding with Greedy Rejection Coding.

Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Greedy Poisson Rejection Sampling.

Gergely Flamich

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Greedy Rejection Sampling.

Gergely Flamich, Lucas Theis

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Fast Relative Entropy Coding with A* coding.

Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato

Proceedings of the International Conference on Machine Learning, 2022

2020

Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding.

Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2016

RadarCat: Radar Categorization for Input & Interaction.

Hui-Shyong Yeo, Gergely Flamich, Patrick Schrempf, David Harris-Birtill, Aaron Quigley

Proceedings of the 29th Annual Symposium on User Interface Software and Technology, 2016