• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 118 matches

• 2024
• 
  Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
  Neural Network Approximators for Marginal MAP in Probabilistic Circuits. AAAI 2024: 10918-10926
• 
  Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
  Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. AISTATS 2024: 2791-2799
• 
  Shivvrat Arya, Yu Xiang, Vibhav Gogate:
  Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. AISTATS 2024: 2818-2826
• 
  Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan:
  Predictive Task Guidance with Artificial Intelligence in Augmented Reality. VR Workshops 2024: 973-974
• 
  Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
  Neural Network Approximators for Marginal MAP in Probabilistic Circuits. CoRR abs/2402.03621 (2024)
• 
  Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate:
  Towards Scene Graph Anticipation. CoRR abs/2403.04899 (2024)
• 
  Yu Xiang, Sai Haneesh Allu, Rohith Peddi, Tyler Summers, Vibhav Gogate:
  Grasping Trajectory Optimization with Point Clouds. CoRR abs/2403.05466 (2024)
• 
  Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
  Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. CoRR abs/2404.11606 (2024)
• 
  Shivvrat Arya, Yu Xiang, Vibhav Gogate:
  Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. CoRR abs/2404.11667 (2024)
• 2023
• 
  Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, Mandar Gogate, Kia Dashtipour, Hani Almoamari, Mohammed Ahmed El-Affendi, Bassam Naji Al-Tamimi, Faisal Albalwy, Amir Hussain:
  Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning. Comput. 12(6): 126 (2023)
• 
  Giuseppe Varone, Cosimo Ieracitano, Aybike Özyüksel Çiftçioglu, Tassadaq Hussain, Mandar Gogate, Kia Dashtipour, Bassam Naji Al-Tamimi, Hani Almoamari, Iskender Akkurt, Amir Hussain:
  A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting. Entropy 25(2): 253 (2023)
• 
  Chiradeep Roy, Mahsan Nourani, Shivvrat Arya, Mahesh Shanbhag, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate:
  Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models. ACM Trans. Interact. Intell. Syst. 13(4): 29:1-29:32 (2023)
• 
  Hailiang Dong, James Amato, Vibhav Gogate, Nicholas Ruozzi:
  A New Modeling Framework for Continuous, Sequential Domains. AISTATS 2023: 11118-11131
• 
  Saurabh Mathur, Vibhav Gogate, Sriraam Natarajan:
  Knowledge Intensive Learning of Cutset Networks. UAI 2023: 1380-1389
• 
  Shivvrat Arya, Yu Xiang, Vibhav Gogate:
  Deep Dependency Networks for Multi-Label Classification. CoRR abs/2302.00633 (2023)
• 
  Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Jikai Wang, Qifan Zhang, Vasundhara Komaragiri, Eric D. Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate:
  CaptainCook4D: A dataset for understanding errors in procedural activities. CoRR abs/2312.14556 (2023)
• 2022
• 
  Mahsan Nourani, Chiradeep Roy, Donald R. Honeycutt, Eric D. Ragan, Vibhav Gogate:
  DETOXER: A Visual Debugging Tool With Multiscope Explanations for Temporal Multilabel Classification. IEEE Computer Graphics and Applications 42(6): 37-46 (2022)
• 
  Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate:
  On the Importance of User Backgrounds and Impressions: Lessons Learned from Interactive AI Applications. ACM Trans. Interact. Intell. Syst. 12(4): 28:1-28:29 (2022)
• 
  Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi:
  Conditionally Tractable Density Estimation using Neural Networks. AISTATS 2022: 6933-6946
• 
  Vibhav Gogate:
  Dissociation-Based Oblivious Bounds for Weighted Model Counting. ISAIM 2022
• 
  Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman, Vibhav Gogate:
  Learning Tractable Probabilistic Models from Inconsistent Local Estimates. NeurIPS 2022
• 
  Andrea Lorena Aldana Blanco, Cassia Valentini-Botinhao, Ondrej Klejch, Mandar Gogate, Kia Dashtipour, Amir Hussain, Peter Bell:
  AVSE Challenge: Audio-Visual Speech Enhancement Challenge. SLT 2022: 465-471
• 
  Rohith Peddi, Tahrima Rahman, Vibhav Gogate:
  Robust learning of tractable probabilistic models. UAI 2022: 1572-1581
• 2021
• 
  Chiradeep Roy, Tahrima Rahman, Hailiang Dong, Nicholas Ruozzi, Vibhav Gogate:
  Dynamic Cutset Networks. AISTATS 2021: 3106-3114
• 
  Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate:
  Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems. IUI 2021: 340-350
• 
  Tahrima Rahman, Sara Rouhani, Vibhav Gogate:
  Novel Upper Bounds for the Constrained Most Probable Explanation Task. NeurIPS 2021: 9613-9624
• 2020
• 
  Mahsan Nourani, Donald R. Honeycutt, Jeremy E. Block, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate:
  Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis. CHI Extended Abstracts 2020: 1-8
• 
  Sara Rouhani, Tahrima Rahman, Vibhav Gogate:
  A Novel Approach for Constrained Optimization in Graphical Models. NeurIPS 2020
• 
  Ryan P. Adams, Vibhav Gogate:
  Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020. Proceedings of Machine Learning Research 124, AUAI Press 2020 [contents]
• 
  Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate:
  Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition. CoRR abs/2005.02335 (2020)

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