| Coin++: Data agnostic neural compression E Dupont, H Loya, M Alizadeh, A Golinski, YW Teh, A Doucet arXiv preprint arXiv:2201.12904 1 (2), 4, 2022 | 34 | 2022 |
| Coin++: Neural compression across modalities E Dupont, H Loya, M Alizadeh, A Goliński, YW Teh, A Doucet arXiv preprint arXiv:2201.12904, 2022 | 31 | 2022 |
| Stochastic activation and bistability in a Rab GTPase regulatory network U Bezeljak, H Loya, B Kaczmarek, TE Saunders, M Loose Proceedings of the National Academy of Sciences 117 (12), 6540-6549, 2020 | 29 | 2020 |
| Uncertainty estimation in cancer survival prediction H Loya, P Poduval, D Anand, N Kumar, A Sethi arXiv preprint arXiv:2003.08573, 2020 | 8 | 2020 |
| Functional space variational inference for uncertainty estimation in computer aided diagnosis P Poduval, H Loya, A Sethi arXiv preprint arXiv:2005.11797, 2020 | 3 | 2020 |
| A Bayesian framework to quantify survival uncertainty H Loya, D Anand, P Poduval, N Kumar, A Sethi Annals of Oncology 30, vii32-vii33, 2019 | 3 | 2019 |
| How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor H Loya, Ł Dudziak, A Mehrotra, R Lee, J Fernandez-Marques, ND Lane, ... arXiv preprint arXiv:2311.18451, 2023 | | 2023 |
| Self-organization in a Rab GTPase regulatory network U Bezeljak, L Kowalski, H Loya, B Kaczmarek, B Wu, JA Servin, ... FEBS OPEN BIO 11, 21-21, 2021 | | 2021 |
| Mixture Distributions for Scalable Bayesian Inference P Poduval, H Loya, R Patel, S Jain | | 2019 |
Martin LooseISTA, Klosterneuburg, AustriaVerified email at ist.ac.at
