David Alvarez-Melis
23 papers · 2017–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which David Alvarez-Melis?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Tommi Jaakkola, Stefanie Jegelka, Tommi S. Jaakkola
10 papers
· 2017–2023
· ICML, AISTATS, EMNLP
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InfoOT: Information Maximizing Optimal Transport
ICML 2023
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
AISTATS 2020
Functional Transparency for Structured Data: a Game-Theoretic Approach
ICML 2019
Learning Generative Models across Incomparable Spaces
ICML 2019
Towards Optimal Transport with Global Invariances
AISTATS 2019
Towards Robust, Locally Linear Deep Networks
ICLR 2019
Gromov-Wasserstein Alignment of Word Embedding Spaces
EMNLP 2018
Structured Optimal Transport
AISTATS 2018
Towards Robust Interpretability with Self-Explaining Neural Networks
NeurIPS 2018
A causal framework for explaining the predictions of black-box sequence-to-sequence models
EMNLP 2017
6 papers whose co-authors appear nowhere else under this name
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
AISTATS 2025
Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles
EMNLP 2025
Mixture of Parrots: Experts improve memorization more than reasoning
ICLR 2025
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
UAI 2025
Generating Synthetic Datasets by Interpolating along Generalized Geodesics
UAI 2023
Are GANs overkill for NLP?
NeurIPS 2022