Singla, Parag

41 publications

CVPR 2025 Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi, Saurabh Saurabh, Ayush Abhay Shrivastava, Parag Singla, Vibhav Gogate

ECCV 2024 Towards Scene Graph Anticipation Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate

ICLR 2023 Few-Shot Cross-Domain Image Generation via Inference-Time Latent-Code Learning Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh Ap

AISTATS 2023 Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh Ap

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

NeurIPSW 2022 Few Shot Generative Domain Adaptation via Inference-Stage Latent Learning in GANs Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh Ap

NeurIPSW 2022 Image Manipulation via Neuro-Symbolic Networks Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg

NeurIPSW 2022 Learning Neuro-Symbolic Programs for Language-Guided Robotic Manipulation Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul

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

UAI 2021 FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto-Encoders Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Ap Prathosh

ICLR 2021 Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla

UAI 2020 MaskAAE: Latent Space Optimization for Adversarial Auto-Encoders Arnab Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, A P Prathosh

NeurIPS 2019 A Primal Dual Formulation for Deep Learning with Constraints Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla

AISTATS 2019 Domain-Size Aware Markov Logic Networks Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla

UAI 2018 Block-Value Symmetries in Probabilistic Graphical Models Gagan Madan, Ankit Anand, Mausam, Parag Singla

WACV 2018 Learning Higher Order Potentials for MRFs Dinesh Khandelwal, Parag Singla, Chetan Arora

UAI 2018 Lifted Marginal MAP Inference Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla

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

CVPR 2016 Min Norm Point Algorithm for Higher Order MRF-MAP Inference Ishant Shanu, Chetan Arora, Parag Singla

AAAI 2016 Scalable Training of Markov Logic Networks Using Approximate Counting Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate

IJCAI 2016 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

IJCAI 2015 ASAP-UCT: Abstraction of State-Action Pairs in UCT Ankit Anand, Aditya Grover, Mausam, Parag Singla

NeurIPS 2015 Fast Lifted MAP Inference via Partitioning Somdeb Sarkhel, Parag Singla, Vibhav G Gogate

NeurIPS 2015 Lifted Inference Rules with Constraints Happy Mittal, Anuj Mahajan, Vibhav G Gogate, Parag Singla

NeurIPS 2015 Lifted Symmetry Detection and Breaking for MAP Inference Timothy Kopp, Parag Singla, Henry Kautz

NeurIPS 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav G Gogate

AAAI 2014 Approximate Lifting Techniques for Belief Propagation Parag Singla, Aniruddh Nath, Pedro M. Domingos

AISTATS 2014 Lifted MAP Inference for Markov Logic Networks Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate

NeurIPS 2014 New Rules for Domain Independent Lifted MAP Inference Happy Mittal, Prasoon Goyal, Vibhav G Gogate, Parag Singla

AAAI 2011 Abductive Markov Logic for Plan Recognition Parag Singla, Raymond J. Mooney

CVPRW 2008 Discovery of Social Relationships in Consumer Photo Collections Using Markov Logic Parag Singla, Henry A. Kautz, Jiebo Luo, Andrew C. Gallagher

AAAI 2008 Lifted First-Order Belief Propagation Parag Singla, Pedro M. Domingos

UAI 2007 Markov Logic in Infinite Domains Parag Singla, Pedro M. Domingos

AAAI 2006 Memory-Efficient Inference in Relational Domains Parag Singla, Pedro M. Domingos

AAAI 2006 Unifying Logical and Statistical AI Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla

IJCAI 2005 Collective Object Identification Parag Singla, Pedro M. Domingos

AAAI 2005 Discriminative Training of Markov Logic Networks Parag Singla, Pedro M. Domingos