David Alvarez-Melis

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Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
Nicolò FusiPartner Researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com
Stefanie JegelkaTUM and MITAdresse e-mail validée de mit.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityAdresse e-mail validée de microsoft.com
Charlotte BunneProfessor of Computer Science and Life SciencesAdresse e-mail validée de epfl.ch
Guang-He LeeMITAdresse e-mail validée de mit.edu
Tatsunori HashimotoAssistant Professor, StanfordAdresse e-mail validée de stanford.edu
Hanna WallachPartner Research Manager, Microsoft ResearchAdresse e-mail validée de dirichlet.net
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandAdresse e-mail validée de umiacs.umd.edu
Youssef MrouehPrincipal Research Scientist, IBM T.J Watson Research CenterAdresse e-mail validée de us.ibm.com
Martin SaveskiAssistant Professor, University of WashingtonAdresse e-mail validée de uw.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichAdresse e-mail validée de inf.ethz.ch
Neil TenenholtzMicrosoft ResearchAdresse e-mail validée de microsoft.com
Yair SchiffCornell UniversityAdresse e-mail validée de cs.cornell.edu
Grace HuynhMITAdresse e-mail validée de mit.edu
Suvrit SraTUM and MITAdresse e-mail validée de mit.edu
Keyulu XuMITAdresse e-mail validée de mit.edu
Chengtao LiGalixirAdresse e-mail validée de galixir.com
Harmanpreet KaurUniversity of MinnesotaAdresse e-mail validée de umn.edu
Tian (Sunny) QinGraduate student, Harvard UniversityAdresse e-mail validée de g.harvard.edu

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David Alvarez-Melis

Harvard University & Microsoft Research

Adresse e-mail validée de seas.harvard.edu - Page d'accueil

Machine Learning Optimal Transport Natural Language Processing Interpretability


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Towards robust interpretability with self-explaining neural networks D Alvarez-Melis, TS Jaakkola Advances in Neural Information Processing Systems, 7775-7784, 2018	1121	2018
On the robustness of interpretability methods D Alvarez-Melis, TS Jaakkola Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine …, 2018	726	2018
Gromov-Wasserstein alignment of word embedding spaces D Alvarez-Melis, TS Jaakkola Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	351	2018
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	268	2017
Geometric Dataset Distances via Optimal Transport D Alvarez-Melis, N Fusi Advances in Neural Information Processing Systems 33, 21428--21439, 2020	208	2020
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	186	2016
Learning generative models across incomparable spaces C Bunne, D Alvarez-Melis, A Krause, S Jegelka International conference on machine learning, 851-861, 2019	123	2019
Tree-structured decoding with doubly-recurrent neural networks D Alvarez-Melis, TS Jaakkola International Conference on Learning Representations (ICLR), 2017	109	2017
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	103	2016
Towards Optimal Transport with Global Invariances D Alvarez-Melis, S Jegelka, TS Jaakkola International Conference on Artificial Intelligence and Statistics (AISTATS), 2019	81	2019
Structured Optimal Transport D Alvarez-Melis, TS Jaakkola, S Jegelka International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018	70	2018
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	56	2021
Distributional adversarial networks C Li, D Alvarez-Melis, K Xu, S Jegelka, S Sra arXiv preprint arXiv:1706.09549, 2017	49*	2017
Towards robust, locally linear deep networks GH Lee, D Alvarez-Melis, TS Jaakkola International Conference on Learning Representations, 2019	48	2019
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	30	2021
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	28	2020
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	25	2019
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	23	2019
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	20	2022
Dataset dynamics via gradient flows in probability space D Alvarez-Melis, N Fusi International conference on machine learning, 219-230, 2021	20	2021

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