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Pascal Poupart

  1. Time2Vec: Learning a Vector Representation of Time
    2019/07/11 by Seyed Mehran Kazemi, Rishab Goel, Kazemi, Seyed Mehran +17 · 22 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 · 6 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. 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
  4. Learning Dynamic Belief Graphs to Generalize on Text-Based Games
    2020/02/21 by Ashutosh Adhikari, Adhikari, Ashutosh, Xingdi Yuan +17 · 6 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
  5. Quantifying and Improving Transferability in Domain Generalization
    2021/06/07 by Guojun Zhang, Han Zhao, Zhang, Guojun +5 · 4 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Fetal and Pediatric Neurological Disorders
  6. 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
  7. 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
  8. A Unified Approach for Learning the Parameters of Sum-Product Networks
    2016/01/03 by Han Zhao, Zhao, Han, Pascal Poupart +3 · 2 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
  9. Deep Active Learning for Dialogue Generation
    2016/12/12 by Nabiha Asghar, Asghar, Nabiha, Pascal Poupart +5 · 3 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
  10. Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process
    2022/06/13 by Haolin Yu, Kaiyang Guo, Yu, Haolin +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
  11. 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
  12. 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
  13. A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization
    2024/03/17 by Yudong Luo, Luo, Yudong, Yangchen Pan +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)
  14. RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
    2021/09/21 by Md Akmal Haidar, Haidar, Md Akmal, Nithin Anchuri +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
  15. Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
    2024/07/16 by Yanting Miao, William Loh, Miao, Yanting +9 · 2 citations
    Computer Science · #Video Analysis and Summarization
  16. Learning Functions on Multiple Sets using Multi-Set Transformers
    2022/06/30 by Kira Selby, Selby, Kira, Ahmad Rashid +7 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  17. Online Structure Learning for Sum-Product Networks with Gaussian Leaves
    2017/01/19 by Wilson Hsu, Hsu, Wilson, Agastya Kalra +3 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. 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
  19. Progressive Memory Banks for Incremental Domain Adaptation
    2018/11/01 by Nabiha Asghar, Asghar, Nabiha, Lili Mou +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
  20. 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
  21. Towards Cost-Effective Reward Guided Text Generation
    2025/02/06 by Ahmad Rashid, Ruotian Wu, Rashid, Ahmad +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
  22. Confidence Aware Inverse Constrained Reinforcement Learning
    2024/06/24 by Sriram Ganapathi Subramanian, Subramanian, Sriram Ganapathi, Guiliang Liu +7 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics