Alvarez-Melis, David

42 publications

ICLRW 2025 Augmenting X-Ray Astronomical Representations with Scientific Knowledge Through Contrastive Learning Juan Rafael Martínez-Galarza, Nicolò Oreste Pinciroli Vago, Shivam Raval, Carolina Cuesta-Lazaro, Melanie Weber, David Alvarez-Melis, Alberto Accomazzi, Cecilia Garraffo, Joshua Knutson, Ryan Thill, Christopher B. Green, Imantha Ahangama

TMLR 2025 Continuous Language Model Interpolation Yields Dynamic and Controllable Text Generation Sara Kangaslahti, David Alvarez-Melis

AISTATS 2025 DDEQs: Distributional Deep Equilibrium Models Through Wasserstein Gradient Flows Jonathan Geuter, Clément Bonet, Anna Korba, David Alvarez-Melis

ICLRW 2025 Igda: Interactive Graph Discovery Through Large Language Model Agents Alexander Havrilla, David Alvarez-Melis, Nicolo Fusi

ICLR 2025 Mixture of Parrots: Experts Improve Memorization More than Reasoning Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach

TMLR 2025 Reliable and Responsible Foundation Models Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

UAI 2025 What Is the Right Notion of Distance Between Predict-Then-Optimize Tasks? Paula Rodriguez-Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe

NeurIPS 2025 scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling Joel Dapello, Marcel Nassar, Ridvan Eksi, Ban Wang, Jules Gagnon-Marchand, Kenneth T Gao, Akram Baharlouei, Kyra Thrush-Evensen, Nina Riehs, Amy F Peterson, Aniket Tolpadi, Abhejit Rajagopal, Henry E Miller, Ashley Mae Conard, David Alvarez-Melis, Rory Stark, Simone Bianco, Morgan Levine, Ava P Amini, Alex Xijie Lu, Nicolo Fusi, Ravi Pandya, Valentina Pedoia, Hana El-Samad

NeurIPS 2024 A Label Is Worth a Thousand Images in Dataset Distillation Tian Qin, Zhiwei Deng, David Alvarez-Melis

NeurIPSW 2024 Adapting Language Models via Token Translation Zhili Feng, Tanya Marwah, Nicolo Fusi, David Alvarez-Melis, Lester Mackey

NeurIPSW 2024 Adapting Language Models via Token Translation Zhili Feng, Tanya Marwah, Lester Mackey, David Alvarez-Melis, Nicolo Fusi

NeurIPSW 2024 Adapting Language Models via Token Translation Zhili Feng, Tanya Marwah, Nicolo Fusi, David Alvarez-Melis, Lester Mackey

NeurIPSW 2024 Causation Does Not Imply Correlation: A Study of Circuit Mechanisms and Model Behaviors Jenny Kaufmann, Victoria R Li, Martin Wattenberg, David Alvarez-Melis, Naomi Saphra

ICMLW 2024 CharED: Character-Wise Ensemble Decoding for Large Language Models Kevin Gu, Eva Tuecke, Dmitriy A Katz, Raya Horesh, David Alvarez-Melis, Mikhail Yurochkin

NeurIPSW 2024 Continuous Language Model Interpolation for Dynamic and Controllable Text Generation Sara Kangaslahti, David Alvarez-Melis

ICLRW 2024 Distributional Dataset Distillation with Subtask Decomposition Tian Qin, Zhiwei Deng, David Alvarez-Melis

NeurIPSW 2024 Mixture of Parrots: Mixtures of Experts Improve Memorization More than Reasoning Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach

NeurIPSW 2024 Sometimes I Am a Tree: Data Drives Fragile Hierarchical Generalization Tian Qin, Naomi Saphra, David Alvarez-Melis

NeurIPSW 2024 Sometimes I Am a Tree: Data Drives Fragile Hierarchical Generalization Tian Qin, Naomi Saphra, David Alvarez-Melis

ICMLW 2024 Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces Athina Sotiropoulou, David Alvarez-Melis

ICML 2024 Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains Junhong Shen, Neil Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolo Fusi

NeurIPSW 2024 Twin Studies of Factors in OOD Generalization Victoria R Li, Jenny Kaufmann, David Alvarez-Melis, Naomi Saphra

ICMLW 2024 Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling Alex Rojas, David Alvarez-Melis

NeurIPSW 2023 Enhancing Language Models for Technical Domains with Dynamic Token Injection Giorgio Giannone, Neil Tenenholtz, James Hall, Nicolo Fusi, David Alvarez-Melis

UAI 2023 Generating Synthetic Datasets by Interpolating Along Generalized Geodesics Jiaojiao Fan, David Alvarez-Melis

MIDL 2023 Hierarchical Optimal Transport for Comparing Histopathology Datasets Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk, David Alvarez-Melis, Grace Huynh

ICML 2023 InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis

ICMLW 2023 Undo Maps: A Tool for Adapting Policies to Perceptual Distortions Abhi Gupta, Ted Moskovitz, David Alvarez-Melis, Aldo Pacchiano

NeurIPS 2022 Are GANs Overkill for NLP? David Alvarez-Melis, Vikas Garg, Adam Kalai

NeurIPSW 2022 Generating Synthetic Datasets by Interpolating Along Generalized Geodesics Jiaojiao Fan, David Alvarez-Melis

NeurIPSW 2022 Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings Frederike Lübeck, Charlotte Bunne, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez-Melis

NeurIPSW 2022 Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings Frederike Lübeck, Charlotte Bunne, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez-Melis

TMLR 2022 Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis, Yair Schiff, Youssef Mroueh

ICML 2021 Dataset Dynamics via Gradient Flows in Probability Space David Alvarez-Melis, Nicolò Fusi

NeurIPS 2020 Geometric Dataset Distances via Optimal Transport David Alvarez-Melis, Nicolo Fusi

AISTATS 2020 Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces David Alvarez-Melis, Youssef Mroueh, Tommi Jaakkola

ICML 2019 Functional Transparency for Structured Data: A Game-Theoretic Approach Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi Jaakkola

ICML 2019 Learning Generative Models Across Incomparable Spaces Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka

AISTATS 2019 Towards Optimal Transport with Global Invariances David Alvarez-Melis, Stefanie Jegelka, Tommi S. Jaakkola

ICLR 2019 Towards Robust, Locally Linear Deep Networks Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola

AISTATS 2018 Structured Optimal Transport David Alvarez-Melis, Tommi S. Jaakkola, Stefanie Jegelka

ICLR 2017 Tree-Structured Decoding with Doubly-Recurrent Neural Networks David Alvarez-Melis, Tommi S. Jaakkola