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David Alvarez-Melis

  1. Towards Robust Interpretability with Self-Explaining Neural Networks
    2018/06/20 by David Alvarez-Melis, Alvarez-Melis, David, Tommi Jaakkola +1 · 61 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  2. On the Robustness of Interpretability Methods
    2018/06/21 by David Alvarez-Melis, Tommi Jaakkola, Alvarez-Melis, David +1 · 37 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Geometric Dataset Distances via Optimal Transport
    2020/02/07 by David Alvarez-Melis, Nicolò Fusi, Alvarez-Melis, David +1 · 17 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  4. Mixture of Parrots: Experts improve memorization more than reasoning
    2024/10/24 by Samy Jelassi, Clara Mohri, Jelassi, Samy +17 · 2 voices · 8 citations
    Agricultural and Biological Sciences · Psychology · #Animal Behavior and Reproduction #Primate Behavior and Ecology
  5. Towards Optimal Transport with Global Invariances
    2018/06/25 by David Alvarez-Melis, Alvarez-Melis, David, Stefanie Jegelka +3 · 7 citations
    Social Sciences · Engineering · Mathematics · #Transportation Planning and Optimization #Traffic control and management #Advanced Optimization Algorithms Research
  6. Random Scaling of Emergent Capabilities
    2025/02/24 by Rosie Zhao, Zhao, Rosie, Tian Qin +8 · 2 voices · 7 citations
    Decision Sciences · #Complex Systems and Decision Making #cs.LG
  7. A Label is Worth a Thousand Images in Dataset Distillation
    2024/06/15 by Tian Qin, Zhiwei Deng, Qin, Tian +3 · 7 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  8. Optimizing Functionals on the Space of Probabilities with Input Convex\n Neural Networks
    2021/06/01 by David Alvarez-Melis, Alvarez-Melis, David, Yair Schiff +3 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Medical Image Segmentation Techniques #Numerical Analysis (math.NA) #Topological and Geometric Data Analysis
  9. Dataset Dynamics via Gradient Flows in Probability Space
    2020/10/24 by David Alvarez-Melis, Alvarez-Melis, David, Nicolò Fusi +1 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Can Interpretation Predict Behavior on Unseen Data?
    2025/07/08 by Victoria R. Li, Jenny Kaufmann, Li, Victoria R. +8 · 1 voice · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #cs.AI #cs.CL #cs.LG
  11. Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
    2026/05/28 by Jing Huang, Daniel Wurgaft, Rachit Bansal +6 · 3 voices
    #cs.LG
  12. A translation of "The characteristic function of a random phenomenon" by Bruno de Finetti
    2015/12/03 by David Alvarez-Melis, Tamara Broderick, Alvarez-Melis, David +1 · 1 citation
    Arts and Humanities · Economics, Econometrics and Finance · Mathematics · #60E10 #Complex Systems and Time Series Analysis #FOS: Mathematics #Mathematical Dynamics and Fractals #Philosophy and History of Science #Statistics Theory (math.ST)
  13. Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization
    2024/12/05 by Tian Qin, Qin, Tian, Naomi Saphra +3 · 2 voices · 3 citations
    Computer Science · #Computational Physics and Python Applications #Data Analysis with R #Neural Networks and Applications #cs.CL #cs.LG
  14. Weight of Evidence as a Basis for Human-Oriented Explanations
    2019/10/29 by David Alvarez-Melis, Alvarez-Melis, David, Hal Daumé +5 · 1 citation
    Arts and Humanities · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meta-analysis and systematic reviews #Philosophy and History of Science
  15. Decomposing Elements of Problem Solving: What "Math" Does RL Teach?
    2025/05/28 by Tian Qin, C. Park, Qin, Tian +12 · 5 citations
    Computer Science · Mathematics · Psychology · #Artificial Intelligence (cs.AI) #Cognitive and developmental aspects of mathematical skills #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Teaching and Learning Programming #Visual and Cognitive Learning Processes
  16. To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning
    2025/04/09 by Tian Qin, David Alvarez-Melis, Qin, Tian +5 · 4 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  17. Hierarchical Optimal Transport for Comparing Histopathology Datasets
    2022/04/18 by Anna Yeaton, Rahul G. Krishnan, Yeaton, Anna +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Cancer Genomics and Diagnostics #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
  18. Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
    2019/11/06 by David Alvarez-Melis, Alvarez-Melis, David, Youssef Mroueh +3 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  19. CharED: Character-wise Ensemble Decoding for Large Language Models
    2024/06/25 by Kevin Gu, Gu, Kevin, Eva Tuecke +9 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  20. Adapting Language Models via Token Translation
    2024/11/01 by Zhili Feng, Feng, Zhili, Tanya Marwah +7 · 1 citation
    Computer Science · #Natural Language Processing Techniques
  21. IGDA: Interactive Graph Discovery through Large Language Model Agents
    2025/02/24 by Alex Havrilla, Havrilla, Alex, David Alvarez-Melis +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  22. Game-Theoretic Interpretability for Temporal Modeling
    2018/06/30 by Guang-He Lee, Lee, Guang-He, David Alvarez-Melis +3 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  23. KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
    2025/12/22 by Eric Zimmermann, Zimmermann, Eric, Harley Wiltzer +7 · 1 citation
    Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference
  24. Bridging Compute- and Data-Optimal Pretraining
    2026/07/28 by Tian Qin, Kimia Hamidieh, David Alvarez-Melis
    #cs.LG #cs.AI #cs.PF