publications

2025

1. 

   The Redundancy of Non-Singular Channel Simulation

   Gergely Flamich, Sharang M Sriramu, and Aaron B Wagner

   2025

   https://arxiv.org/abs/2501.14053

   arXiv Bib

   @article{flamich2025redundancy,
     author = {Flamich, Gergely and Sriramu, Sharang M and Wagner, Aaron B},
     title = {The Redundancy of Non-Singular Channel Simulation},
     year = {2025},
   }

2024

1. 

   Getting Free Bits Back from Rotational Symmetries in LLMs

   Jiajun He, Gergely Flamich, and José Miguel Hernández-Lobato

   2024

   https://arxiv.org/abs/2410.01309

   Received Oral at Compression Workshop @ NeurIPS 2024

   arXiv Bib Slides

   @article{he2024getting,
     author = {He, Jiajun and Flamich, Gergely and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     title = {Getting Free Bits Back from Rotational Symmetries in LLMs},
     year = {2024},
     award = {Oral at Compression Workshop @ NeurIPS 2024},
   }

2. 

   Accelerating Relative Entropy Coding with Space Partitioning

   Jiajun He, Gergely Flamich, and José Miguel Hernández-Lobato

   In Advances in Neural Information Processing Systems, 2024

   arXiv Bib

   @inproceedings{he2024accelerating,
     author = {He, Jiajun and Flamich, Gergely and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     title = {Accelerating Relative Entropy Coding with Space Partitioning},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2024},
   }

3. 

   Some Notes on the Sample Complexity of Approximate Channel Simulation

   Gergely Flamich, and Lennie Wells

   In First ’Learn to Compress’ Workshop@ ISIT 2024, 2024

   Received Spotlight

   arXiv Bib HTML Poster Slides

   @inproceedings{flamich2024some,
     award = {Spotlight},
     author = {Flamich, Gergely and Wells, Lennie},
     booktitle = {First 'Learn to Compress' Workshop@ ISIT 2024},
     title = {Some Notes on the Sample Complexity of Approximate Channel Simulation},
     year = {2024},
   }

4. 

   On Channel Simulation with Causal Rejection Samplers

   Daniel Goc, and Gergely Flamich

   In 2024 IEEE International Symposium on Information Theory (ISIT), 2024

   arXiv Bib HTML Slides

   @inproceedings{goc2024channel,
     author = {Goc, Daniel and Flamich, Gergely},
     booktitle = {2024 IEEE International Symposium on Information Theory (ISIT)},
     title = {On Channel Simulation with Causal Rejection Samplers},
     year = {2024},
     doi = {10.1109/ISIT57864.2024.10619339},
   }

5. 

   RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations

   Jiajun He*, Gergely Flamich*, Zongyu Guo, and 1 more author

   In International Conference on Learning Representations, 2024

   arXiv Bib Code Poster Slides

   @inproceedings{he2024recombiner,
     title = {RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations},
     author = {He*, Jiajun and Flamich*, Gergely and Guo, Zongyu and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     booktitle = {International Conference on Learning Representations},
     year = {2024},
   }

2023

1. 

   Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo

   Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, and 1 more author

   In Mathematics of Modern Machine Learning Workshop at NeurIPS, 2023

   arXiv Bib Poster

   @inproceedings{ujvary2023estimating,
     title = {Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo},
     author = {Ujv{\'a}ry, Szilvia and Flamich, Gergely and Fortuin, Vincent and Hern{\'a}ndez Lobato, Jos{\'e} Miguel},
     booktitle = {Mathematics of Modern Machine Learning Workshop at NeurIPS},
     year = {2023},
   }

2. 

   Minimal Random Code Learning with Mean-KL Parameterization

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

   In Neural Compression Workshop @ ICML, 2023

   arXiv Bib

   @inproceedings{lin2023minimal,
     title = {Minimal Random Code Learning with Mean-KL Parameterization},
     author = {Lin, Jihao Andreas and Flamich, Gergely and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     booktitle = {Neural Compression Workshop {@} {ICML}},
     year = {2023}
   }

3. 

   Greedy Poisson Rejection Sampling

   Gergely Flamich

   In Advances in Neural Information Processing Systems, 2023

   arXiv Bib HTML Code Poster Slides

   @inproceedings{flamich2023gprs,
     title = {Greedy Poisson Rejection Sampling},
     author = {Flamich, Gergely},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2023},
   }

4. 

   Faster Relative Entropy Coding with Greedy Rejection Coding

   Gergely Flamich*, Stratis Markou*, and José Miguel Hernández-Lobato

   In Advances in Neural Information Processing Systems, 2023

   arXiv Bib HTML Poster Slides

   @inproceedings{flamich2023grc,
     title = {Faster Relative Entropy Coding with Greedy Rejection Coding},
     author = {Flamich*, Gergely and Markou*, Stratis and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2023},
   }

5. 

   Compression with Bayesian Implicit Neural Representations

   Zongyu Guo*, Gergely Flamich*, Jiajun He, and 2 more authors

   In Advances in Neural Information Processing Systems, 2023

   Received Spotlight

   arXiv Bib HTML Code Poster Slides

   @inproceedings{guo2023compression,
     award = {Spotlight},
     title = {Compression with Bayesian Implicit Neural Representations},
     author = {Guo*, Zongyu and Flamich*, Gergely and He, Jiajun and Chen, Zhibo and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2023},
   }

6. 

   Adaptive Greedy Rejection Sampling

   Gergely Flamich, and Lucas Theis

   In 2023 IEEE International Symposium on Information Theory (ISIT), 2023

   arXiv Bib HTML

   @inproceedings{flamich2023adaptive,
     author = {Flamich, Gergely and Theis, Lucas},
     booktitle = {2023 IEEE International Symposium on Information Theory (ISIT)},
     title = {Adaptive Greedy Rejection Sampling},
     year = {2023},
     pages = {454-459},
   }

2022

1. 

   Fast relative entropy coding with A* coding

   Gergely Flamich*, Stratis Markou*, and José Miguel Hernández-Lobato

   In International Conference on Machine Learning, 2022

   arXiv Bib HTML Poster Slides

   @inproceedings{flamich2022fast,
     title = {Fast relative entropy coding with {A*} coding},
     author = {Flamich*, Gergely and Markou*, Stratis and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     booktitle = {International Conference on Machine Learning},
     pages = {6548--6577},
     year = {2022},
     organization = {PMLR},
   }

2020

1. 

   Compressing images by encoding their latent representations with relative entropy coding

   Gergely Flamich*, Marton Havasi*, and José Miguel Hernández-Lobato

   In Advances in Neural Information Processing Systems, 2020

   arXiv Bib HTML Code Poster Slides

   @inproceedings{flamich2020compressing,
     title = {Compressing images by encoding their latent representations with relative entropy coding},
     author = {Flamich*, Gergely and Havasi*, Marton and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {33},
     pages = {16131--16141},
     year = {2020},
   }

2016

1. 

   Radarcat: Radar categorization for input & interaction

   Hui-Shyong Yeo, Gergely Flamich, Patrick Schrempf, and 2 more authors

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

   Bib HTML

   @inproceedings{yeo2016radarcat,
     title = {Radarcat: Radar categorization for input \& interaction},
     author = {Yeo, Hui-Shyong and Flamich, Gergely and Schrempf, Patrick and Harris-Birtill, David and Quigley, Aaron},
     booktitle = {Proceedings of the 29th Annual Symposium on User Interface Software and Technology},
     pages = {833--841},
     doi = {10.1145/2984511},
     year = {2016}
   }