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Parag Singla
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2020 – today
- 2024
- [c65]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion. ACL (Short Papers) 2024: 205-216 - [c64]Ramneek Kaur
, Kshitiz Bansal
Assessing the impact of farm ponds on agricultural productivity in Northern India. COMPASS 2024: 281-293 - [i38]Chinmay Mittal, Krishna Kartik, Mausam, Parag Singla:
PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems? CoRR abs/2402.02611 (2024) - [i37]Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate
Towards Scene Graph Anticipation. CoRR abs/2403.04899 (2024) - [i36]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 abs/2404.07774 (2024) - [i35]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 abs/2405.18948 (2024) - [i34]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 abs/2406.18880 (2024) - [i33]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. CoRR abs/2407.01994 (2024) - [i32]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 abs/2407.03216 (2024) - 2023
- [j7]Arnab Kumar Mondal
SSDMM-VAE: variational multi-modal disentangled representation learning. Appl. Intell. 53(7): 8467-8481 (2023) - [c63]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. ACL (2) 2023: 256-269 - [c62]Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP:
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. AISTATS 2023: 3440-3465 - [c61]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: 2975-3007 - [c60]Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam:
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. EMNLP 2023: 6969-6987 - [c59]Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP:
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR 2023 - [c58]Namasivayam Kalithasan
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. ICRA 2023: 7973-7980 - [c57]Vishal Sharma, Daman Arora, Mausam, Parag Singla:
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. UAI 2023: 1921-1931 - [p3]Yatin Nandwani
Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces. Compendium of Neurosymbolic Artificial Intelligence 2023: 430-459 - [i31]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 abs/2305.14410 (2023) - [i30]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 abs/2310.01991 (2023) - [i29]Anand Brahmbhatt, Vipul Rathore, Mausam, Parag Singla:
Towards Fair and Calibrated Models. CoRR abs/2310.10399 (2023) - [i28]Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam:
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. CoRR abs/2310.16393 (2023) - [i27]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Ensembling Textual and Structure-Based Models for Knowledge Graph Completion. CoRR abs/2311.03780 (2023) - 2022
- [j6]Arnab Kumar Mondal
scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2996-3007 (2022) - [c56]Vipul Rathore, Kartikeya Badola, Parag Singla, Mausam:
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. ACL (2) 2022: 340-354 - [c55]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR 2022 - [c54]Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla:
A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS 2022 - [c53]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: 1771-1781 - [i26]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR abs/2202.03229 (2022) - [i25]Yatin Nandwani
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR abs/2210.09082 (2022) - [i24]Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul:
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. CoRR abs/2211.06652 (2022) - 2021
- [j5]Danish Contractor
Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions. Nat. Lang. Eng. 27(1): 65-87 (2021) - [c52]Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg:
Explanations for CommonsenseQA: New Dataset and Models. ACL/IJCNLP (1) 2021: 3050-3065 - [c51]Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam:
Answering POI-recommendation Questions using Tourism Reviews. CIKM 2021: 281-291 - [c50]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR 2021 - [c49]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh:
FlexAE: flexibly learning latent priors for wasserstein auto-encoders. UAI 2021: 525-535 - [c48]Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. WWW 2021: 1978-1989 - [i23]Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam:
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR abs/2104.08741 (2021) - [i22]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR abs/2107.07709 (2021) - [i21]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 abs/2107.07713 (2021) - [i20]Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla:
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction. CoRR abs/2110.07415 (2021) - 2020
- [c47]Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam:
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC 2020 - [c46]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: 689-698 - [c45]Lovish Madaan, Soumya Sharma, Parag Singla:
Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task. WMT@EMNLP 2020: 402-408 - [i19]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR abs/2006.05838 (2020) - [i18]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR abs/2008.11990 (2020) - [i17]Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. CoRR abs/2009.13613 (2020)
2010 – 2019
- 2019
- [c44]Happy Mittal, Ayush Bhardwaj, Vibhav Gogate
Domain-Size Aware Markov Logic Networks. AISTATS 2019: 3216-3224 - [c43]Lovish Madaan, Ankur Sharma, Praneet Khandelwal, Shivank Goel, Parag Singla, Aaditeshwar Seth:
Price forecasting & anomaly detection for agricultural commodities in India. COMPASS 2019: 52-64 - [c42]Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla:
A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS 2019: 12157-12168 - [e1]Raghu Krishnapuram, Parag Singla:
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2019, Kolkata, India, January 3-5, 2019. ACM 2019, ISBN 978-1-4503-6207-8 [contents] - [i16]Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla:
CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. CoRR abs/1908.00860 (2019) - [i15]Danish Contractor, Krunal Shah, Aditi Partap, Mausam, Parag Singla:
Large Scale Question Answering using Tourism Data. CoRR abs/1909.03527 (2019) - [i14]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 abs/1912.04564 (2019) - 2018
- [c41]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. UAI 2018: 886-895 - [c40]Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate
Lifted Marginal MAP Inference. UAI 2018: 917-926 - [c39]Dinesh Khandelwal, Parag Singla, Chetan Arora:
Learning Higher Order Potentials for MRFs. WACV 2018: 812-820 - [i13]Danish Contractor, Barun Patra, Mausam, Parag Singla:
Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism. CoRR abs/1801.01825 (2018) - [i12]Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla:
Lifted Marginal MAP Inference. CoRR abs/1807.00589 (2018) - [i11]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. CoRR abs/1807.00643 (2018) - [i10]Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla:
Domain Aware Markov Logic Networks. CoRR abs/1807.01082 (2018) - [i9]Dinesh Khandelwal, Suyash Agrawal, Parag Singla, Chetan Arora:
Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks. CoRR abs/1811.09796 (2018) - 2017
- [j4]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): 521-551 (2017) - [c38]Timothy Kopp, Parag Singla, Henry A. Kautz:
Conditional Term Equivalent Symmetry Breaking for SAT. AAAI Workshops 2017 - [c37]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS 2017: 1541-1549 - [c36]Haroun Habeeb, Ankit Anand, Mausam
Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI 2017: 4595-4602 - [i8]Haroun Habeeb, Ankit Anand, Mausam, Parag Singla:
Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR abs/1707.07165 (2017) - [i7]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR abs/1707.08879 (2017) - [i6]Harvineet Singh, Amitabha Bagchi, Parag Singla:
Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion. CoRR abs/1710.07622 (2017) - 2016
- [j3]Henry A. Kautz
Technical Perspective: Combining logic and probability. Commun. ACM 59(7): 106 (2016) - [j2]Dinesh Khandelwal, Kush Bhatia, Chetan Arora, Parag Singla:
Lazy Generic Cuts. Comput. Vis. Image Underst. 143: 80-91 (2016) - [c35]Timothy Kopp, Parag Singla, Henry A. Kautz:
Toward Caching Symmetrical Subtheories for Weighted Model Counting. AAAI Workshop: Beyond NP 2016 - [c34]Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate
Scalable Training of Markov Logic Networks Using Approximate Counting. AAAI 2016: 1067-1073 - [c33]Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla:
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS 2016: 29-37 - [c32]Ishant Shanu, Chetan Arora, Parag Singla:
Min Norm Point Algorithm for Higher Order MRF-MAP Inference. CVPR 2016: 5365-5374 - [c31]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: 2025-2031 - [c30]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
Contextual Symmetries in Probabilistic Graphical Models. IJCAI 2016: 3560-3568 - [c29]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla:
Unifying Logical and Statistical AI. LICS 2016: 1-11 - [c28]Danish Contractor, Parag Singla, Mausam:
Entity-balanced Gaussian pLSA for Automated Comparison. HLT-NAACL 2016: 69-79 - [i5]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
Contextual Symmetries in Probabilistic Graphical Models. CoRR abs/1606.09594 (2016) - [i4]David B. Smith, Parag Singla, Vibhav Gogate:
Lifted Region-Based Belief Propagation. CoRR abs/1606.09637 (2016) - 2015
- [j1]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): 57:1-57:15 (2015) - [c27]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
A Novel Abstraction Framework for Online Planning: Extended Abstract. AAMAS 2015: 1901-1902 - [c26]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
ASAP-UCT: Abstraction of State-Action Pairs in UCT. IJCAI 2015: 1509-1515 - [c25]Timothy Kopp, Parag Singla, Henry A. Kautz:
Lifted Symmetry Detection and Breaking for MAP Inference. NIPS 2015: 1315-1323 - [c24]Somdeb Sarkhel, Parag Singla, Vibhav Gogate
Fast Lifted MAP Inference via Partitioning. NIPS 2015: 3240-3248 - [c23]Happy Mittal, Anuj Mahajan, Vibhav Gogate
Lifted Inference Rules With Constraints. NIPS 2015: 3519-3527 - [i3]Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla:
On the Role of Conductance, Geography and Topology in Predicting Hashtag Virality. CoRR abs/1504.05351 (2015) - 2014
- [c22]Parag Singla, Aniruddh Nath, Pedro M. Domingos:
Approximate Lifting Techniques for Belief Propagation. AAAI 2014: 2497-2504 - [c21]Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
Lifted MAP Inference for Markov Logic Networks. AISTATS 2014: 859-867 - [c20]Mona Gupta, Happy Mittal, Parag Singla, Amitabha Bagchi:
Characterizing comparison shopping behavior: A case study. ICDE Workshops 2014: 115-122 - [c19]Happy Mittal, Prasoon Goyal, Vibhav Gogate
New Rules for Domain Independent Lifted MAP Inference. NIPS 2014: 649-657 - [c18]Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
An Integer Polynomial Programming Based Framework for Lifted MAP Inference. NIPS 2014: 3302-3310 - 2013
- [c17]Yamuna Prasad, K. K. Biswas, Parag Singla:
Scaling-Up Quadratic Programming Feature Selection. AAAI (Late-Breaking Developments) 2013 - 2012
- [c16]Parag Singla:
Markov Logic Networks: Theory, Algorithms and Applications. COMAD 2012: 15 - [i2]Parag Singla, Pedro M. Domingos:
Markov Logic in Infinite Domains. CoRR abs/1206.5292 (2012) - 2011
- [c15]Parag Singla, Raymond J. Mooney:
Abductive Markov Logic for Plan Recognition. AAAI 2011: 1069-1075 - [c14]Tivadar Papai, Parag Singla, Henry A. Kautz
Constraint Propagation for Efficient Inference in Markov Logic. CP 2011: 691-705 - 2010
- [c13]Parag Singla, Aniruddh Nath, Pedro M. Domingos:
Approximate Lifted Belief Propagation. StarAI@AAAI 2010 - [p2]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla:
Markov Logic: A Language and Algorithms for Link Mining. Link Mining 2010: 135-161
2000 – 2009
- 2008
- [c12]Parag Singla, Pedro M. Domingos:
Lifted First-Order Belief Propagation. AAAI 2008: 1094-1099 - [c11]Parag Singla, Henry A. Kautz
Discovery of social relationships in consumer photo collections using Markov Logic. CVPR Workshops 2008: 1-7 - [c10]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: 1-25 - [c9]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: 3 - [c8]Parag Singla, Matthew Richardson:
Yes, there is a correlation: - from social networks to personal behavior on the web. WWW 2008: 655-664 - [p1]Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla:
Markov Logic. Probabilistic Inductive Logic Programming 2008: 92-117 - 2007
- [c7]Parag Singla, Pedro M. Domingos:
Markov Logic in Infinite Domains. UAI 2007: 368-375 - [i1]Pedro M. Domingos, Parag Singla:
Markov Logic in Infinite Domains. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2006
- [c6]Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla:
Unifying Logical and Statistical AI. AAAI 2006: 2-9 - [c5]Parag Singla, Pedro M. Domingos:
Memory-Efficient Inference in Relational Domains. AAAI 2006: 488-493 - [c4]Parag Singla, Pedro M. Domingos:
Entity Resolution with Markov Logic. ICDM 2006: 572-582 - 2005
- [c3]Parag Singla, Pedro M. Domingos:
Discriminative Training of Markov Logic Networks. AAAI 2005: 868-873 - [c2]Parag Singla, Pedro M. Domingos:
Collective Object Identification. IJCAI 2005: 1636-1637 - [c1]Parag Singla, Pedro M. Domingos:
Object Identification with Attribute-Mediated Dependences. PKDD 2005: 297-308
Coauthor Index
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