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Marton Havasi
Marton Havasi
Meta - FAIR
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Title
Cited by
Cited by
Year
Training independent subnetworks for robust prediction
M Havasi, R Jenatton, S Fort, JZ Liu, J Snoek, B Lakshminarayanan, ...
arXiv preprint arXiv:2010.06610, 2020
1992020
Inference in deep Gaussian processes using stochastic gradient Hamiltonian Monte Carlo
M Havasi, JM Hernández-Lobato, JJ Murillo-Fuentes
Advances in neural information processing systems 31, 2018
1062018
Uncertainty baselines: Benchmarks for uncertainty & robustness in deep learning
Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ...
arXiv preprint arXiv:2106.04015, 2021
1012021
Minimal random code learning: Getting bits back from compressed model parameters
M Havasi, R Peharz, JM Hernández-Lobato
742019
Addressing leakage in concept bottleneck models
M Havasi, S Parbhoo, F Doshi-Velez
Advances in Neural Information Processing Systems 35, 23386-23397, 2022
472022
Compressing images by encoding their latent representations with relative entropy coding
G Flamich, M Havasi, JM Hernández-Lobato
Advances in Neural Information Processing Systems 33, 16131-16141, 2020
462020
Determining optimal coherency interface for many-accelerator socs using bayesian optimization
K Bhardwaj, M Havasi, Y Yao, DM Brooks, JMH Lobato, GY Wei
IEEE Computer Architecture Letters 18 (2), 119-123, 2019
132019
What makes a good explanation?: A harmonized view of properties of explanations
Z Chen, V Subhash, M Havasi, W Pan, F Doshi-Velez
arXiv preprint arXiv:2211.05667, 2022
92022
Refining the variational posterior through iterative optimization
M Havasi, J Snoek, D Tran, J Gordon, JM Hernández-Lobato
82021
A comprehensive methodology to determine optimal coherence interfaces for many-accelerator SoCs
K Bhardwaj, M Havasi, Y Yao, DM Brooks, JM Hernández-Lobato, GY Wei
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020
82020
Deep Gaussian processes with decoupled inducing inputs
M Havasi, JM Hernández-Lobato, JJ Murillo-Fuentes
arXiv preprint arXiv:1801.02939, 2018
72018
Compression without quantization
G Flamich, M Havasi, JM Hernández-Lobato
Proc. Int. Conf. Learn. Representations, 2019
42019
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding, 2020
G Flamich, M Havasi, JM Hernández-Lobato
Advances in Neural Information Processing Systems 34 (4), 12, 0
4
Learning optimal summaries of clinical time-series with concept bottleneck models
C Wu, S Parbhoo, M Havasi, F Doshi-Velez
Machine Learning for Healthcare Conference, 648-672, 2022
32022
Advances in compression using probabilistic models
M Havasi
32021
Does the explanation satisfy your needs?: A unified view of properties of explanations
Z Chen, V Subhash, M Havasi, W Pan, F Doshi-Velez
arXiv preprint arXiv:2211.05667, 2022
22022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
V Subhash, Z Chen, M Havasi, W Pan, F Doshi-Velez
Progress and Challenges in Building Trustworthy Embodied AI, 2022
12022
Sampling the variational posterior with local refinement
M Havasi, J Snoek, D Tran, J Gordon, JM Hernández-Lobato
Entropy 23 (11), 1475, 2021
12021
Understanding and Mitigating Tokenization Bias in Language Models
B Phan, M Havasi, M Muckley, K Ullrich
arXiv preprint arXiv:2406.16829, 2024
2024
Guarantee Regions for Local Explanations
M Havasi, S Parbhoo, F Doshi-Velez
arXiv preprint arXiv:2402.12737, 2024
2024
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