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Gergely Flamich
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Radarcat: Radar categorization for input & interaction
HS Yeo, G Flamich, P Schrempf, D Harris-Birtill, A Quigley
Proceedings of the 29th Annual Symposium on User Interface Software and†…, 2016
1662016
Compressing images by encoding their latent representations with relative entropy coding
G Flamich*, M Havasi*, JM HernŠndez-Lobato
Advances in Neural Information Processing Systems 33, 16131-16141, 2020
42*2020
Fast relative entropy coding with A* coding
G Flamich*, S Markou*, JM HernŠndez-Lobato
International Conference on Machine Learning, 6548-6577, 2022
192022
Compression with Bayesian Implicit Neural Representations
Z Guo*, G Flamich*, J He, Z Chen, JM HernŠndez-Lobato
Advances in Neural Information Processing Systems 36, 2023
82023
Greedy Poisson rejection sampling
G Flamich
Advances in Neural Information Processing Systems 36, 2024
52024
Adaptive Greedy Rejection Sampling
G Flamich, L Theis
2023 IEEE International Symposium on Information Theory (ISIT), 454-459, 2023
42023
RECOMBINER: Robust and enhanced compression with Bayesian implicit neural representations
J He, G Flamich, Z Guo, JM HernŠndez-Lobato
arXiv preprint arXiv:2309.17182, 2023
32023
Faster Relative Entropy Coding with Greedy Rejection Coding
G Flamich, S Markou, JM HernŠndez-Lobato
Advances in Neural Information Processing Systems 36, 2024
22024
On Channel Simulation with Causal Rejection Samplers
D Goc, G Flamich
arXiv preprint arXiv:2401.16579, 2024
2024
Classification method and device
HS Yeo, A Quigley, G Flamich, P Schrempf, D Harris-Birtill
US Patent 11,867,833, 2024
2024
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo
S UjvŠry, G Flamich, V Fortuin, JMH Lobato
Mathematics of Modern Machine Learning Workshop at NeurIPS 2023, 2023
2023
Minimal Random Code Learning with Mean-KL Parameterization
JA Lin, G Flamich, JM HernŠndez-Lobato
Neural Compression Workshop at ICML 2023, 2023
2023
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Articles 1–12