| 2026 | ACL | LLMs are Brittle to Simple Code Transformations: Introducing CETBench - A Benchmark for Code-Equivalence Checking. | Neeva Oza, Ishaan Govil, Parul Gupta, Dinesh Khandelwal, Dinesh Garg, Parag Singla |
| 2026 | ACL | Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction. | Vipul Kumar Rathore, Malik Hammad Faisal, Parag Singla, Mausam |
| 2025 | CVPR | Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation. | Rohith Peddi, Saurabh, Ayush Abhay Shrivastava, Parag Singla, Vibhav Gogate |
| 2024 | ACL | DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion. | Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam |
| 2024 | ECCV | Towards Scene Graph Anticipation. | Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate |
| 2024 | EMNLP | SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models. | Vipul Kumar Rathore, Aniruddha Deb, Ankish Kumar Chandresh, Parag Singla, Mausam |
| 2024 | IROS | Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach. | Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Singh, Parag Singla, Rohan Paul |
| 2023 | ACL | Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. | Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam |
| 2023 | AISTATS | Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. | Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP |
| 2023 | EMNLP | ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. | Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam |
| 2023 | EMNLP | Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. | Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla |
| 2023 | ICLR | Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. | Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP |
| 2023 | ICRA | Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. | Namasivayam Kalithasan, Himanshu Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul |
| 2023 | UAI | SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. | Vishal Sharma, Daman Arora, Mausam, Parag Singla |
| 2022 | ACL | PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. | Vipul Rathore, Kartikeya Badola, Parag Singla, Mausam |
| 2022 | ICLR | Neural Models for Output-Space Invariance in Combinatorial Problems. | Yatin Nandwani, Vidit Jain, Mausam, Parag Singla |
| 2022 | UAI | SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs. | Vishal Sharma, Daman Arora, Florian Geier, Mausam, Parag Singla |
| 2021 | ACL | Explanations for CommonsenseQA: New Dataset and Models. | Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg |
| 2021 | CIKM | Answering POI-recommendation Questions using Tourism Reviews. | Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam |
| 2021 | ICLR | Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. | Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla |
| 2021 | WWW | Joint Spatio-Textual Reasoning for Answering Tourism Questions. | Danish Contractor, Shashank Goel, Mausam, Parag Singla |
| 2021 | UAI | FlexAE: flexibly learning latent priors for wasserstein auto-encoders. | Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh |
| 2020 | UAI | MaskAAE: Latent space optimization for Adversarial Auto-Encoders. | Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P. |
| 2019 | AISTATS | Domain-Size Aware Markov Logic Networks. | Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla |
| 2018 | WACV | Learning Higher Order Potentials for MRFs. | Dinesh Khandelwal, Parag Singla, Chetan Arora |
| 2018 | UAI | Block-Value Symmetries in Probabilistic Graphical Models. | Gagan Madan, Ankit Anand, Mausam, Parag Singla |
| 2018 | UAI | Lifted Marginal MAP Inference. | Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla |
| 2017 | AAAI | Conditional Term Equivalent Symmetry Breaking for SAT. | Timothy Kopp, Parag Singla, Henry A. Kautz |
| 2017 | AISTATS | Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. | Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam |
| 2017 | IJCAI | Coarse-to-Fine Lifted MAP Inference in Computer Vision. | Haroun Habeeb, Ankit Anand, Mausam, Parag Singla |
| 2016 | AAAI | Toward Caching Symmetrical Subtheories for Weighted Model Counting. | Timothy Kopp, Parag Singla, Henry A. Kautz |
| 2016 | AAAI | Scalable Training of Markov Logic Networks Using Approximate Counting. | Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate |
| 2016 | CVPR | Min Norm Point Algorithm for Higher Order MRF-MAP Inference. | Ishant Shanu, Chetan Arora, Parag Singla |
| 2016 | IJCAI | Contextual Symmetries in Probabilistic Graphical Models. | Ankit Anand, Aditya Grover, Mausam, Parag Singla |
| 2016 | IJCAI | Unsupervised Alignment of Actions in Video with Text Descriptions. | Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, Henry A. Kautz |
| 2016 | LICS | Unifying Logical and Statistical AI. | Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2016 | NAACL | Entity-balanced Gaussian pLSA for Automated Comparison. | Danish Contractor, Parag Singla, Mausam |
| 2015 | IJCAI | ASAP-UCT: Abstraction of State-Action Pairs in UCT. | Ankit Anand, Aditya Grover, Mausam, Parag Singla |
| 2014 | AAAI | Approximate Lifting Techniques for Belief Propagation. | Parag Singla, Aniruddh Nath, Pedro M. Domingos |
| 2014 | AISTATS | Lifted MAP Inference for Markov Logic Networks. | Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate |
| 2014 | ICDE | Characterizing comparison shopping behavior: A case study. | Mona Gupta, Happy Mittal, Parag Singla, Amitabha Bagchi |
| 2013 | AAAI | Scaling-Up Quadratic Programming Feature Selection. | Yamuna Prasad, K. K. Biswas, Parag Singla |
| 2012 | COMAD | Markov Logic Networks: Theory, Algorithms and Applications. | Parag Singla |
| 2011 | AAAI | Abductive Markov Logic for Plan Recognition. | Parag Singla, Raymond J. Mooney |
| 2011 | CP | Constraint Propagation for Efficient Inference in Markov Logic. | Tivadar Papai, Parag Singla, Henry A. Kautz |
| 2010 | AAAI | Approximate Lifted Belief Propagation. | Parag Singla, Aniruddh Nath, Pedro M. Domingos |
| 2008 | AAAI | Lifted First-Order Belief Propagation. | Parag Singla, Pedro M. Domingos |
| 2008 | CVPR | Discovery of social relationships in consumer photo collections using Markov Logic. | Parag Singla, Henry A. Kautz, Jiebo Luo, Andrew C. Gallagher |
| 2008 | WWW | Yes, there is a correlation: - from social networks to personal behavior on the web. | Parag Singla, Matthew Richardson |
| 2008 | SSPR | Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. | Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang |
| 2007 | UAI | Markov Logic in Infinite Domains. | Parag Singla, Pedro M. Domingos |
| 2006 | AAAI | Unifying Logical and Statistical AI. | Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2006 | AAAI | Memory-Efficient Inference in Relational Domains. | Parag Singla, Pedro M. Domingos |
| 2006 | ICDM | Entity Resolution with Markov Logic. | Parag Singla, Pedro M. Domingos |
| 2005 | AAAI | Discriminative Training of Markov Logic Networks. | Parag Singla, Pedro M. Domingos |
| 2005 | IJCAI | Collective Object Identification. | Parag Singla, Pedro M. Domingos |