David Alvarez-Melis

According to our database1, David Alvarez-Melis authored at least 25 papers between 2015 and 2022.

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Bibliography

2022
Why GANs are overkill for NLP.
CoRR, 2022

Hierarchical Optimal Transport for Comparing Histopathology Datasets.
CoRR, 2022

2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks.
CoRR, 2021

A Human-Centered Interpretability Framework Based on Weight of Evidence.
CoRR, 2021

Dataset Dynamics via Gradient Flows in Probability Space.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Gradient Flows in Dataset Space.
CoRR, 2020

Geometric Dataset Distances via Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Probabilistic Bias Mitigation in Word Embeddings.
CoRR, 2019

Weight of Evidence as a Basis for Human-Oriented Explanations.
CoRR, 2019

Functional Transparency for Structured Data: a Game-Theoretic Approach.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Generative Models across Incomparable Spaces.
Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Robust, Locally Linear Deep Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Optimal Transport with Global Invariances.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Game-Theoretic Interpretability for Temporal Modeling.
CoRR, 2018

On the Robustness of Interpretability Methods.
CoRR, 2018

Towards Robust Interpretability with Self-Explaining Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributional Adversarial Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Gromov-Wasserstein Alignment of Word Embedding Spaces.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Structured Optimal Transport.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Tree-structured decoding with doubly-recurrent neural networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

A causal framework for explaining the predictions of black-box sequence-to-sequence models.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Word Embeddings as Metric Recovery in Semantic Spaces.
Trans. Assoc. Comput. Linguistics, 2016

Topic Modeling in Twitter: Aggregating Tweets by Conversations.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015
Word, graph and manifold embedding from Markov processes.
CoRR, 2015


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