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Marton Havasi
Marton Havasi
Harvard SEAS
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Training independent subnetworks for robust prediction
M Havasi, R Jenatton, S Fort, JZ Liu, J Snoek, B Lakshminarayanan, ...
arXiv preprint arXiv:2010.06610, 2020
1782020
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
1012018
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
972021
Minimal random code learning: Getting bits back from compressed model parameters
M Havasi, R Peharz, JM Hernández-Lobato
632019
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
332020
Addressing leakage in concept bottleneck models
M Havasi, S Parbhoo, F Doshi-Velez
Advances in Neural Information Processing Systems 35, 23386-23397, 2022
312022
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
112019
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
82022
Deep Gaussian processes with decoupled inducing inputs
M Havasi, JM Hernández-Lobato, JJ Murillo-Fuentes
arXiv preprint arXiv:1801.02939, 2018
72018
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
62020
Refining the variational posterior through iterative optimization
M Havasi, J Snoek, D Tran, J Gordon, JM Hernández-Lobato
62019
Compression without quantization
G Flamich, M Havasi, JM Hernández-Lobato
52019
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
Advances in compression using probabilistic models
M Havasi
32021
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
12022
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
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
Guarantee Regions for Local Explanations
M Havasi, S Parbhoo, F Doshi-Velez
arXiv preprint arXiv:2402.12737, 2024
2024
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
2022
Designing Neural Network Hardware Accelerators Using Deep Gaussian Processes
M Havasi
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Artículos 1–20