David Alvarez-Melis
David Alvarez-Melis
Postdoctoral Researcher, Microsoft Research
Verified email at mit.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
2512018
Gromov-Wasserstein alignment of word embedding spaces
D Alvarez-Melis, TS Jaakkola
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1222018
On the robustness of interpretability methods
D Alvarez-Melis, TS Jaakkola
Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine …, 2018
1222018
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
1172017
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
1032016
Tree-structured decoding with doubly-recurrent neural networks
D Alvarez-Melis, TS Jaakkola
International Conference on Learning Representations (ICLR), 2017
662017
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
562016
Structured Optimal Transport
D Alvarez-Melis, TS Jaakkola, S Jegelka
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
332018
Learning generative models across incomparable spaces
C Bunne, D Alvarez-Melis, A Krause, S Jegelka
International Conference on Machine Learning, 851-861, 2019
322019
Towards Optimal Transport with Global Invariances
D Alvarez-Melis, S Jegelka, TS Jaakkola
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
292019
Distributional adversarial networks
C Li, D Alvarez-Melis, K Xu, S Jegelka, S Sra
arXiv preprint arXiv:1706.09549, 2017
26*2017
Towards robust, locally linear deep networks
GH Lee, D Alvarez-Melis, TS Jaakkola
arXiv preprint arXiv:1907.03207, 2019
212019
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
72019
Word, graph and manifold embedding from Markov processes
TB Hashimoto, D Alvarez-Melis, TS Jaakkola
arXiv preprint arXiv:1509.05808, 2015
72015
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
62020
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
52019
Game-theoretic interpretability for temporal modeling
GH Lee, D Alvarez-Melis, TS Jaakkola
arXiv preprint arXiv:1807.00130, 2018
52018
Geometric dataset distances via optimal transport
D Alvarez-Melis, N Fusi
arXiv preprint arXiv:2002.02923, 2020
32020
Probabilistic Bias Mitigation in Word Embeddings.
H James-Sorenson, D Alvarez-Melis
Proceedings of the Workshop on Human-Centric Machine Learning, 2019
22019
Sentiment Classification in Twitter: A Comparison between Domain Adaptation and Distant Supervision
M Khanarian, D Alvarez-Melis
22012
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Articles 1–20