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Jaakkola, Tommi S.

  1. Towards Robust Interpretability with Self-Explaining Neural Networks
    2018/06/20 by David Alvarez-Melis, Alvarez-Melis, David, Tommi Jaakkola +1 · 98 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 · 47 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. Conformal Language Modeling
    2023/06/16 by Victor Quach, Adam Fisch, Quach, Victor +11 · 32 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  4. GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
    2021/06/08 by Octavian-Eugen Ganea, Lagnajit Pattanaik, Ganea, Octavian-Eugen +11 · 18 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
  5. Gromov-Wasserstein Alignment of Word Embedding Spaces
    2018/08/31 by Alvarez-Melis, David, Jaakkola, Tommi S. · 12 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  6. Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
    2019/10/29 by Mo Yu, Shiyu Chang, Yu, Mo +5 · 11 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Bayesian Modeling and Causal Inference
  7. 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
  8. Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
    2019/06/12 by Lee, Guang-He, Yuan, Yang, Chang, Shiyu +1 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Invariant Rationalization
    2020/03/22 by Shiyu Chang, Chang, Shiyu, Zhang, Yang +4 · 6 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  10. Fundamental Limits and Tradeoffs in Invariant Representation Learning
    2020/12/19 by Han Zhao, Dan Chen, Zhao, Han +9 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  11. A Game Theoretic Approach to Class-wise Selective Rationalization
    2019/10/28 by Shiyu Chang, Chang, Shiyu, Mo Yu +4 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sentiment Analysis and Opinion Mining #Topic Modeling
  12. Oblique Decision Trees from Derivatives of ReLU Networks
    2019/09/30 by Guang-He Lee, Lee, Guang-He, Tommi Jaakkola +2 · 1 voice · 1 citation
    Computer Science · Materials Science · Mathematics · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #cs.LG #stat.ML
  13. Virtual Node Graph Neural Network for Full Phonon Prediction
    2023/01/05 by Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Okabe, Ryotaro +23 · 5 citations
    Materials Science · #Computational Physics (physics.comp-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
  14. DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models
    2023/04/08 by Mohamed Amine Ketata, Ketata, Mohamed Amine, Cedrik Laue +15 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Protein Structure and Dynamics #Machine Learning in Bioinformatics #Machine Learning in Materials Science
  15. A causal framework for explaining the predictions of black-box\n sequence-to-sequence models
    2017/07/06 by David Alvarez-Melis, Tommi Jaakkola, Alvarez-Melis, David +1 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
  16. Towards Robust, Locally Linear Deep Networks
    2019/07/07 by Guang-He Lee, David Alvarez-Melis, Lee, Guang-He +3 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Structured Optimal Transport
    2017/12/17 by Alvarez-Melis, David, Jaakkola, Tommi S., Jegelka, Stefanie · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Understanding Interlocking Dynamics of Cooperative Rationalization
    2021/10/26 by Mo Yu, Yu, Mo, Zhang, Yang +4 · 2 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  19. MAP estimation via agreement on (hyper)trees: Message-passing and linear programming
    2005/08/15 by Martin J. Wainwright, Wainwright, Martin J., Tommi Jaakkola +4 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #DNA and Biological Computing #Error Correcting Code Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #cs.AI #cs.IT #math.IT
  20. Tightening LP Relaxations for MAP using Message Passing
    2012/06/13 by David Sontag, Talya Meltzer, Sontag, David +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computational Engineering #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Finance #and Science (cs.CE) #cs.AI #cs.CE #cs.DS
  21. A New Class of Upper Bounds on the Log Partition Function
    2012/12/12 by Martin Wainwright, Wainwright, Martin, Tommi S. Jaakkola +3 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
  22. On Information Regularization
    2012/10/19 by Adrian Corduneanu, Tommi Jaakkola, Tommi S. Jaakkola +2 · 1 citation
    Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.LG #stat.ML
  23. Computing Upper and Lower Bounds on Likelihoods in Intractable Networks
    2013/02/13 by Tommi Jaakkola, Tommi S. Jaakkola, Jaakkola, Tommi S. +2 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning and Algorithms #Multi-Criteria Decision Making #cs.AI
  24. Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
    2019/11/06 by David Alvarez-Melis, Youssef Mroueh, Alvarez-Melis, David +3 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  25. Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates
    2024/07/05 by Ryotaro Okabe, Okabe, Ryotaro, Mouyang Cheng +21 · 1 citation
    Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Rough Sets and Fuzzy Logic
  26. 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