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David Alvarez-Melis
David Alvarez-Melis
Harvard University & Microsoft Research
Verified email at seas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Towards robust interpretability with self-explaining neural networks
D Alvarez-Melis, TS Jaakkola
Advances in Neural Information Processing Systems, 7775-7784, 2018
9212018
On the robustness of interpretability methods
D Alvarez-Melis, TS Jaakkola
Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine …, 2018
5872018
Gromov-Wasserstein alignment of word embedding spaces
D Alvarez-Melis, TS Jaakkola
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
3062018
A causal framework for explaining the predictions of black-box sequence-to-sequence models
D Alvarez-Melis, TS Jaakkola
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
2332017
Topic Modeling in Twitter: Aggregating Tweets by Conversations.
D Alvarez-Melis, M Saveski
Proceedings of the Tenth International Conference on Web and Social Media …, 2016
1702016
Geometric Dataset Distances via Optimal Transport
D Alvarez-Melis, N Fusi
Advances in Neural Information Processing Systems 33, 21428--21439, 2020
1442020
Learning generative models across incomparable spaces
C Bunne, D Alvarez-Melis, A Krause, S Jegelka
International conference on machine learning, 851-861, 2019
1062019
Tree-structured decoding with doubly-recurrent neural networks
D Alvarez-Melis, TS Jaakkola
International Conference on Learning Representations (ICLR), 2017
1032017
Word embeddings as metric recovery in semantic spaces
TB Hashimoto, D Alvarez-Melis, TS Jaakkola
Transactions of the Association for Computational Linguistics 4, 273-286, 2016
972016
Towards Optimal Transport with Global Invariances
D Alvarez-Melis, S Jegelka, TS Jaakkola
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
702019
Structured Optimal Transport
D Alvarez-Melis, TS Jaakkola, S Jegelka
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
612018
Optimizing functionals on the space of probabilities with input convex neural networks
D Alvarez-Melis, Y Schiff, Y Mroueh
arXiv preprint arXiv:2106.00774, 2021
412021
Towards robust, locally linear deep networks
GH Lee, D Alvarez-Melis, TS Jaakkola
International Conference on Learning Representations, 2019
402019
Distributional adversarial networks
C Li, D Alvarez-Melis, K Xu, S Jegelka, S Sra
arXiv preprint arXiv:1706.09549, 2017
40*2017
Unsupervised hierarchy matching with optimal transport over hyperbolic spaces
D Alvarez-Melis, Y Mroueh, T Jaakkola
International Conference on Artificial Intelligence and Statistics, 1606-1617, 2020
252020
From human explanation to model interpretability: A framework based on weight of evidence
DA Melis, H Kaur, H Daumé III, H Wallach, JW Vaughan
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 9 …, 2021
242021
Weight of evidence as a basis for human-oriented explanations
D Alvarez-Melis, H Daumé III, JW Vaughan, H Wallach
arXiv preprint arXiv:1910.13503, 2019
232019
Functional transparency for structured data: a game-theoretic approach
GH Lee, W Jin, D Alvarez-Melis, T Jaakkola
International Conference on Machine Learning, 3723-3733, 2019
222019
Dataset dynamics via gradient flows in probability space
D Alvarez-Melis, N Fusi
International Conference on Machine Learning, 219-230, 2021
152021
Neural unbalanced optimal transport via cycle-consistent semi-couplings
F Lübeck, C Bunne, G Gut, JS del Castillo, L Pelkmans, D Alvarez-Melis
arXiv preprint arXiv:2209.15621, 2022
132022
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