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Poupart, Pascal

  1. Time2Vec: Learning a Vector Representation of Time
    2019/07/11 by Seyed Mehran Kazemi, Kazemi, Seyed Mehran, Rishab Goel +17 · 27 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Topic Modeling
  2. On Improving Deep Reinforcement Learning for POMDPs
    2017/04/26 by Pengfei Zhu, Xin Li, Zhu, Pengfei +5 · 7 citations
    Computer Science · Engineering · #Elevator Systems and Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Optimization and Search Problems
  3. Learning Dynamic Belief Graphs to Generalize on Text-Based Games
    2020/02/21 by Ashutosh Adhikari, Adhikari, Ashutosh, Xingdi Yuan +17 · 11 citations
    Computer Science · #Artificial Intelligence in Games #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  4. NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
    2021/09/09 by Sun, Xiangyu, Schulte, Oliver, Liu, Guiliang +1 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
    2024/02/07 by Agustinus Kristiadi, Kristiadi, Agustinus, Felix Strieth‐Kalthoff +9 · 10 citations
    Computer Science · Materials Science · Chemistry · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Analytical Chemistry and Chromatography
  6. Quantifying and Improving Transferability in Domain Generalization
    2021/06/07 by Guojun Zhang, Zhang, Guojun, Han Zhao +5 · 5 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Fetal and Pediatric Neurological Disorders
  7. A Unified Approach for Learning the Parameters of Sum-Product Networks
    2016/01/03 by Han Zhao, Pascal Poupart, Zhao, Han +3 · 3 citations
    Business, Management and Accounting · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Process Optimization and Integration #Product Development and Customization
  8. Multi Type Mean Field Reinforcement Learning
    2020/02/06 by Subramanian, Sriram Ganapathi, Poupart, Pascal, Taylor, Matthew E. +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  9. Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation
    2017/12/06 by Bolin Wei, Shuai Lu, Wei, Bolin +11 · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  10. Deep Active Learning for Dialogue Generation
    2016/12/12 by Nabiha Asghar, Pascal Poupart, Asghar, Nabiha +5 · 4 citations
    Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Speech and dialogue systems #Topic Modeling
  11. FedFormer: Contextual Federation with Attention in Reinforcement Learning
    2022/05/27 by Liam Hebert, Hebert, Liam, Lukasz Golab +5 · 3 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Privacy-Preserving Technologies in Data #Reinforcement Learning in Robotics
  12. Variational Attention for Sequence-to-Sequence Models
    2017/12/21 by Bahuleyan, Hareesh, Mou, Lili, Vechtomova, Olga +1 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  13. SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks
    2019/01/11 by Molina, Alejandro, Vergari, Antonio, Stelzner, Karl +5 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Diachronic Embedding for Temporal Knowledge Graph Completion
    2019/07/06 by Goel, Rishab, Kazemi, Seyed Mehran, Brubaker, Marcus +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Optimality and Stability in Non-Convex Smooth Games
    2020/02/27 by Zhang, Guojun, Poupart, Pascal, Yu, Yaoliang · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  16. Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process
    2022/06/13 by Haolin Yu, Yu, Haolin, Kaiyang Guo +9 · 2 citations
    Computer Science · Environmental Science · #Air Quality Monitoring and Forecasting #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  17. Online and Distributed learning of Gaussian mixture models by Bayesian Moment Matching
    2016/09/19 by Priyank Jaini, Jaini, Priyank, Pascal Poupart +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
  18. A Critical Look At Tokenwise Reward-Guided Text Generation
    2024/06/12 by Ahmad Rashid, Rashid, Ahmad, Ruotian Wu +7 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  19. An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
    2023/07/17 by Luo, Yudong, Liu, Guiliang, Poupart, Pascal +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Order-Planning Neural Text Generation From Structured Data
    2017/09/01 by Sha, Lei, Mou, Lili, Liu, Tianyu +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  21. Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
    2024/07/16 by Yanting Miao, Miao, Yanting, William Loh +9 · 3 citations
    Computer Science · #Video Analysis and Summarization
  22. Affective Neural Response Generation
    2017/09/12 by Asghar, Nabiha, Poupart, Pascal, Hoey, Jesse +2 · 1 citation
    #68T50 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.2.7 #Information Retrieval (cs.IR)
  23. Unsupervised Video Object Segmentation for Deep Reinforcement Learning
    2018/05/20 by Goel, Vik, Weng, Jameson, Poupart, Pascal · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization
    2024/03/17 by Yudong Luo, Yangchen Pan, Luo, Yudong +7 · 2 citations
    Decision Sciences · Engineering · #Advanced Control Systems Optimization #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  25. Partially Observable Mean Field Reinforcement Learning
    2020/12/31 by Subramanian, Sriram Ganapathi, Taylor, Matthew E., Crowley, Mark +1 · 1 citation
    #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  26. RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
    2021/09/21 by Md Akmal Haidar, Nithin Anchuri, Haidar, Md Akmal +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  27. Decentralized Mean Field Games
    2021/12/16 by Subramanian, Sriram Ganapathi, Taylor, Matthew E., Crowley, Mark +1 · 1 citation
    #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  28. Learning Functions on Multiple Sets using Multi-Set Transformers
    2022/06/30 by Kira Selby, Ahmad Rashid, Selby, Kira +7 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  29. Do we need Label Regularization to Fine-tune Pre-trained Language Models?
    2022/05/25 by Kobyzev, Ivan, Jafari, Aref, Rezagholizadeh, Mehdi +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Online Structure Learning for Sum-Product Networks with Gaussian Leaves
    2017/01/19 by Wilson Hsu, Agastya Kalra, Hsu, Wilson +3 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. Learning Soft Constraints From Constrained Expert Demonstrations
    2022/06/02 by Gaurav Ashish, Gaurav, Ashish, Kasra Rezaee +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms
  32. Benchmarking Constraint Inference in Inverse Reinforcement Learning
    2022/06/20 by Guiliang Liu, Liu, Guiliang, Yudong Luo +7 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  33. Progressive Memory Banks for Incremental Domain Adaptation
    2018/11/01 by Nabiha Asghar, Lili Mou, Asghar, Nabiha +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  34. On the Relationship between Sum-Product Networks and Bayesian Networks
    2015/01/06 by Han Zhao, Zhao, Han, Mazen Melibari +3 · 1 citation
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (stat.ML)
  35. Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
    2023/12/15 by Mohsin Hasan, Hasan, Mohsin, Guojun Zhang +7 · 1 citation
    Computer Science · Decision Sciences · #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Privacy-Preserving Technologies in Data
  36. Why Online Reinforcement Learning is Causal
    2024/03/07 by Schulte, Oliver, Poupart, Pascal · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)
  37. Towards Cost-Effective Reward Guided Text Generation
    2025/02/06 by Ahmad Rashid, Rashid, Ahmad, Ruotian Wu +8 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  38. Confidence Aware Inverse Constrained Reinforcement Learning
    2024/06/24 by Sriram Ganapathi Subramanian, Guiliang Liu, Subramanian, Sriram Ganapathi +7 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics
  39. Learning to Negotiate via Voluntary Commitment
    2025/03/05 by Zhu, Shuhui, Wang, Baoxiang, Subramanian, Sriram Ganapathi +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)