Parag Singla

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 77

Top Venues

CoRR

UAI

NIPS

AISTATS

Publications

Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate
Towards Scene Graph Anticipation. CoRR (2024)
Ramneek Kaur, Kshitiz Bansal, Devang Garg, Ramita Sardana, Saketh Vishnubhatla, Sanjali Agrawal, Shruti Kumari, Parag Singla, Aaditeshwar Seth
Assessing the impact of farm ponds on agricultural productivity in Northern India. COMPASS (2024)
Chinmay Mittal, Krishna Kartik, Mausam, Parag Singla
PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems? CoRR (2024)
Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh, Divyanshu Aggarwal, Gurarmaan Singh Panjeta, Vishal Bindal, Arnav Tuli, Rohan Paul, Parag Singla
Sketch-Plan-Generalize: Continual Few-Shot Learning of Inductively Generalizable Spatial Concepts for Language-Guided Robot Manipulation. CoRR (2024)
Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. CoRR (2024)
Sanket Gandhi, Atul, Samanyu Mahajan, Vishal Sharma, Rushil Gupta, Arnab Kumar Mondal, Parag Singla
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers. CoRR (2024)
Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Gaurav Singh, Parag Singla, Rohan Paul
Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach. CoRR (2024)
Vipul Rathore, Aniruddha Deb, Ankish Chandresh, Parag Singla, Mausam
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models. CoRR (2024)
Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla
Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. EMNLP (2023)
Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. CoRR (2023)
Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. AISTATS (2023)
Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR (2023)
Vishal Sharma, Daman Arora, Mausam, Parag Singla
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. UAI (2023)
Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam
Ensembling Textual and Structure-Based Models for Knowledge Graph Completion. CoRR (2023)
Namasivayam Kalithasan, Himanshu Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. ICRA (2023)
Aniruddha Deb, Neeva Oza, Sarthak Singla, Dinesh Khandelwal, Dinesh Garg, Parag Singla
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems. CoRR (2023)
Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. ACL (2) (2023)
Arnab Kumar Mondal, Ajay Sailopal, Parag Singla, Prathosh AP
SSDMM-VAE: variational multi-modal disentangled representation learning. Appl. Intell. 53 (7) (2023)
Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. CoRR (2023)
Anand Brahmbhatt, Vipul Rathore, Mausam, Parag Singla
Towards Fair and Calibrated Models. CoRR (2023)
Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR (2022)
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR (2022)
Vishal Sharma, Daman Arora, Florian Geißer, Mausam, Parag Singla
SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs. UAI (2022)
Namasivayam Kalithasan, Himanshu Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. CoRR (2022)
Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS (2022)
Vipul Rathore, Kartikeya Badola, Parag Singla, Mausam
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. ACL (2) (2022)
Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR (2022)
Danish Contractor, Shashank Goel, Mausam, Parag Singla
Joint Spatio-Textual Reasoning for Answering Tourism Questions. WWW (2021)
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR (2021)
Danish Contractor, Barun Patra, Mausam, Parag Singla
Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions. Nat. Lang. Eng. 27 (1) (2021)
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh
FlexAE: flexibly learning latent priors for wasserstein auto-encoders. UAI (2021)
Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
Explanations for CommonsenseQA: New Dataset and Models. ACL/IJCNLP (1) (2021)
Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla
Towards an Interpretable Latent Space in Structured Models for Video Prediction. CoRR (2021)
Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam
Answering POI-recommendation Questions using Tourism Reviews. CIKM (2021)
Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR (2021)
Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction. CoRR (2021)
Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR (2021)
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.
MaskAAE: Latent space optimization for Adversarial Auto-Encoders. UAI (2020)
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR (2020)
Lovish Madaan, Soumya Sharma, Parag Singla
Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task. WMT@EMNLP (2020)
Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC (2020)
Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR (2020)
Danish Contractor, Shashank Goel, Mausam, Parag Singla
Joint Spatio-Textual Reasoning for Answering Tourism Questions. CoRR (2020)
Lovish Madaan, Ankur Sharma, Praneet Khandelwal, Shivank Goel, Parag Singla, Aaditeshwar Seth
Price forecasting & anomaly detection for agricultural commodities in India. COMPASS (2019)
Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla
CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. CoRR (2019)
Danish Contractor, Krunal Shah, Aditi Partap, Mausam, Parag Singla
Large Scale Question Answering using Tourism Data. CoRR (2019)
Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla
Domain-Size Aware Markov Logic Networks. AISTATS (2019)
Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla
A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS (2019)
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.
Towards Latent Space Optimality for Auto-Encoder Based Generative Models. CoRR (2019)
Gagan Madan, Ankit Anand, Mausam, Parag Singla
Block-Value Symmetries in Probabilistic Graphical Models. CoRR (2018)
Danish Contractor, Barun Patra, Mausam, Parag Singla
Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism. CoRR (2018)
Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla
Lifted Marginal MAP Inference. UAI (2018)
Dinesh Khandelwal, Suyash Agrawal, Parag Singla, Chetan Arora
Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks. CoRR (2018)
Dinesh Khandelwal, Parag Singla, Chetan Arora
Learning Higher Order Potentials for MRFs. WACV (2018)
Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla
Domain Aware Markov Logic Networks. CoRR (2018)
Gagan Madan, Ankit Anand, Mausam, Parag Singla
Block-Value Symmetries in Probabilistic Graphical Models. UAI (2018)
Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla
Lifted Marginal MAP Inference. CoRR (2018)
Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI (2017)
Timothy Kopp, Parag Singla, Henry A. Kautz
Conditional Term Equivalent Symmetry Breaking for SAT. AAAI Workshops (2017)
Harvineet Singh, Amitabha Bagchi, Parag Singla
Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion. CoRR (2017)
Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR (2017)
Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR (2017)
Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS (2017)
Mona Gupta, Happy Mittal, Parag Singla, Amitabha Bagchi
Analysis and characterization of comparison shopping behavior in the mobile handset domain. Electron. Commer. Res. 17 (3) (2017)
David B. Smith, Parag Singla, Vibhav Gogate
Lifted Region-Based Belief Propagation. CoRR (2016)
Ishant Shanu, Chetan Arora, Parag Singla
Min Norm Point Algorithm for Higher Order MRF-MAP Inference. CVPR (2016)
Timothy Kopp, Parag Singla, Henry A. Kautz
Toward Caching Symmetrical Subtheories for Weighted Model Counting. AAAI Workshop: Beyond NP (2016)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
Contextual Symmetries in Probabilistic Graphical Models. IJCAI (2016)
Danish Contractor, Parag Singla, Mausam
Entity-balanced Gaussian pLSA for Automated Comparison. HLT-NAACL (2016)
Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, Henry A. Kautz
Unsupervised Alignment of Actions in Video with Text Descriptions. IJCAI (2016)
Dinesh Khandelwal, Kush Bhatia, Chetan Arora, Parag Singla
Lazy Generic Cuts. Comput. Vis. Image Underst. 143 (2016)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
Contextual Symmetries in Probabilistic Graphical Models. CoRR (2016)
Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
Unifying Logical and Statistical AI. LICS (2016)
Henry A. Kautz, Parag Singla
Technical Perspective: Combining logic and probability. Commun. ACM 59 (7) (2016)
Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate
Scalable Training of Markov Logic Networks Using Approximate Counting. AAAI (2016)
Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS (2016)
Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla
On the Role of Conductance, Geography and Topology in Predicting Hashtag Virality. CoRR (2015)
Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla
On the role of conductance, geography and topology in predicting hashtag virality. Soc. Netw. Anal. Min. 5 (1) (2015)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
A Novel Abstraction Framework for Online Planning: Extended Abstract. AAMAS (2015)
Somdeb Sarkhel, Parag Singla, Vibhav Gogate
Fast Lifted MAP Inference via Partitioning. NIPS (2015)
Happy Mittal, Anuj Mahajan, Vibhav Gogate, Parag Singla
Lifted Inference Rules With Constraints. NIPS (2015)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
ASAP-UCT: Abstraction of State-Action Pairs in UCT. IJCAI (2015)
Timothy Kopp, Parag Singla, Henry A. Kautz
Lifted Symmetry Detection and Breaking for MAP Inference. NIPS (2015)
Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
An Integer Polynomial Programming Based Framework for Lifted MAP Inference. NIPS (2014)
Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
Lifted MAP Inference for Markov Logic Networks. AISTATS (2014)
Happy Mittal, Prasoon Goyal, Vibhav Gogate, Parag Singla
New Rules for Domain Independent Lifted MAP Inference. NIPS (2014)
Parag Singla, Aniruddh Nath, Pedro M. Domingos
Approximate Lifting Techniques for Belief Propagation. AAAI (2014)
Mona Gupta, Happy Mittal, Parag Singla, Amitabha Bagchi
Characterizing comparison shopping behavior: A case study. ICDE Workshops (2014)
Yamuna Prasad, K. K. Biswas, Parag Singla
Scaling-Up Quadratic Programming Feature Selection. AAAI (Late-Breaking Developments) (2013)
Parag Singla, Pedro M. Domingos
Markov Logic in Infinite Domains CoRR (2012)
Parag Singla
Markov Logic Networks: Theory, Algorithms and Applications. COMAD (2012)
Parag Singla, Raymond J. Mooney
Abductive Markov Logic for Plan Recognition. AAAI (2011)
Tivadar Papai, Parag Singla, Henry A. Kautz
Constraint Propagation for Efficient Inference in Markov Logic. CP (2011)
Parag Singla, Aniruddh Nath, Pedro M. Domingos
Approximate Lifted Belief Propagation. Statistical Relational Artificial Intelligence (2010)
Parag Singla, Henry A. Kautz, Jiebo Luo, Andrew C. Gallagher
Discovery of social relationships in consumer photo collections using Markov Logic. CVPR Workshops (2008)
Parag Singla, Pedro M. Domingos
Lifted First-Order Belief Propagation. AAAI (2008)
Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR (2008)
Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) (2008)
Parag Singla, Matthew Richardson
Yes, there is a correlation: - from social networks to personal behavior on the web. WWW (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Parag Singla