Publications (26)
A Unified Approach for Learning the Parameters of Sum-Product Networks
Han Zhao, Pascal Poupart, Geoff Gordon
Self-Adaptive Hierarchical Sentence Model
Han Zhao, Zhengdong Lu, Pascal Poupart
Discovering Conversational Dependencies between Messages in Dialogs
Wenchao Du, Pascal Poupart, Wei Xu
Vector-space Analysis of Belief-state Approximation for POMDPs
Pascal Poupart, Craig Boutilier
Generative Mixture of Networks
Ershad Banijamali, Ali Ghodsi, Pascal Poupart
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks
Alejandro Molina, Antonio Vergari, Karl Stelzner +5
Online and Distributed learning of Gaussian mixture models by Bayesian Moment Matching
Priyank Jaini, Pascal Poupart
Value-Directed Belief State Approximation for POMDPs
Pascal Poupart, Craig Boutilier
Dynamic Sum Product Networks for Tractable Inference on Sequence Data (Extended Version)
Mazen Melibari, Pascal Poupart, Prashant Doshi +1
Order-Planning Neural Text Generation From Structured Data
Lei Sha, Lili Mou, Tianyu Liu +4
Online Structure Learning for Sum-Product Networks with Gaussian Leaves
Wilson Hsu, Agastya Kalra, Pascal Poupart
On Improving Deep Reinforcement Learning for POMDPs
Pengfei Zhu, Xin Li, Pascal Poupart +1
Hierarchical POMDP Controller Optimization by Likelihood Maximization
Marc Toussaint, Laurent Charlin, Pascal Poupart
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference
Wei Li, Pascal Poupart, Peter van Beek
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation
Bolin Wei, Shuai Lu, Lili Mou +4
A Sober Look at Spectral Learning
Han Zhao, Pascal Poupart
Deep Active Learning for Dialogue Generation
Nabiha Asghar, Pascal Poupart, Xin Jiang +1
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
Vik Goel, Jameson Weng, Pascal Poupart
Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker
Farheen Omar, Mathieu Sinn, Jakub Truszkowski +3
Value-Directed Sampling Methods for POMDPs
Pascal Poupart, Luis E. Ortiz, Craig Boutilier
On Improving Deep Reinforcement Learning for POMDPs
Pengfei Zhu, Xin Li, Pascal Poupart +1
On the Relationship between Sum-Product Networks and Bayesian Networks
Han Zhao, Mazen Melibari, Pascal Poupart
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker +1
Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan, Lili Mou, Olga Vechtomova +1
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali +7
Affective Neural Response Generation
Nabiha Asghar, Pascal Poupart, Jesse Hoey +2