Mausam

46 publications

NeurIPS 2024 AutoMix: Automatically Mixing Language Models Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam
AAAI 2024 GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam
NeurIPSW 2023 AutoMix: Mixing Models with Few-Shot Self and Meta Verification Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui
CVPR 2023 DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh Ap, Mausam
NeurIPSW 2023 Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction Kausik Hira, Mohd Zaki, Dhruvil Bhavesh Sheth, Mausam, N M Anoop Krishnan
UAI 2023 SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs Vishal Sharma, Daman Arora, Mausam, Parag Singla
NeurIPS 2022 A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
ICLR 2022 Neural Models for Output-Space Invariance in Combinatorial Problems Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
UAI 2022 SymNet 2.0: Effectively Handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs Vishal Sharma, Daman Arora, Florian Geißer, Mausam, Parag Singla
JAIR 2022 TOOLTANGO: Common Sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam
ICLR 2021 Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
IJCAI 2021 TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam
ICML 2020 Symbolic Network: Generalized Neural Policies for Relational MDPs Sankalp Garg, Aniket Bajpai, Mausam
NeurIPS 2019 A Primal Dual Formulation for Deep Learning with Constraints Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla
UAI 2018 Block-Value Symmetries in Probabilistic Graphical Models Gagan Madan, Ankit Anand, Mausam, Parag Singla
IJCAI 2018 Inferring Temporal Knowledge for Near-Periodic Recurrent Events Dinesh Raghu, Surag Nair, Mausam
IJCAI 2018 Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti
NeurIPS 2018 Transfer of Deep Reactive Policies for MDP Planning Aniket Bajpai, Sankalp Garg, Mausam
IJCAI 2017 Coarse-to-Fine Lifted MAP Inference in Computer Vision Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
AISTATS 2017 Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
IJCAI 2016 Contextual Symmetries in Probabilistic Graphical Models Ankit Anand, Aditya Grover, Mausam, Parag Singla
AAAI 2016 Numerical Relation Extraction with Minimal Supervision Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi
IJCAI 2016 Open Information Extraction Systems and Downstream Applications Mausam
AAAI 2016 Re-Active Learning: Active Learning with Relabeling Christopher H. Lin, Mausam, Daniel S. Weld
IJCAI 2015 ASAP-UCT: Abstraction of State-Action Pairs in UCT Ankit Anand, Aditya Grover, Mausam, Parag Singla
UAI 2012 A Theory of Goal-Oriented MDPs with Dead Ends Andrey Kolobov, Mausam, Daniel S. Weld
UAI 2012 Crowdsourcing Control: Moving Beyond Multiple Choice Christopher H. Lin, Mausam, Daniel S. Weld
AAAI 2012 Dynamically Switching Between Synergistic Workflows for Crowdsourcing Christopher H. Lin, Mausam, Daniel S. Weld
AAAI 2012 LRTDP Versus UCT for Online Probabilistic Planning Andrey Kolobov, Mausam, Daniel S. Weld
AAAI 2011 Artificial Intelligence for Artificial Artificial Intelligence Peng Dai, Mausam, Daniel S. Weld
IJCAI 2011 Open Information Extraction: The Second Generation Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, Mausam
JAIR 2011 Topological Value Iteration Algorithms Peng Dai, Mausam, Daniel S. Weld, Judy Goldsmith
IJCAI 2011 Towards Scalable MDP Algorithms Andrey Kolobov, Mausam, Daniel S. Weld
AAAI 2010 Decision-Theoretic Control of Crowd-Sourced Workflows Peng Dai, Mausam, Daniel S. Weld
AAAI 2010 Panlingual Lexical Translation via Probabilistic Inference Mausam, Stephen Soderland, Oren Etzioni
AAAI 2010 SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs Andrey Kolobov, Mausam, Daniel S. Weld
JAIR 2009 A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam
IJCAI 2009 Domain-Independent, Automatic Partitioning for Probabilistic Planning Peng Dai, Mausam, Daniel S. Weld
IJCAI 2009 ReTrASE: Integrating Paradigms for Approximate Probabilistic Planning Andrey Kolobov, Mausam, Daniel S. Weld
AAAI 2008 Partitioned External-Memory Value Iteration Peng Dai, Mausam, Daniel S. Weld
JAIR 2008 Planning with Durative Actions in Stochastic Domains Mausam, Daniel S. Weld
IJCAI 2007 A Hybridized Planner for Stochastic Domains Mausam, Piergiorgio Bertoli, Daniel S. Weld
IJCAI 2007 When Is Temporal Planning Really Temporal? William Cushing, Subbarao Kambhampati, Mausam, Daniel S. Weld
AAAI 2006 Probabilistic Temporal Planning with Uncertain Durations Mausam, Daniel S. Weld
IJCAI 2005 Planning with Continuous Resources in Stochastic Domains Mausam, Emmanuel Benazera, Ronen I. Brafman, Nicolas Meuleau, Eric A. Hansen
AAAI 2004 Solving Concurrent Markov Decision Processes Mausam, Daniel S. Weld