Parag Singla - RankMe

125 papers A* 27A 16C 2Misc 1Journal 51Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Spatio-Temporal World Scene Graph Generation from Monocular Videos. CoRR Rohith Peddi, Saurabh, Shravan Shanmugam, Likhitha Pallapothula, Yu Xiang, Parag Singla, Vibhav Gogate
2025	J	`jnl`	CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking. CoRR Neeva Oza, Ishaan Govil, Parul Gupta, Dinesh Khandelwal, Dinesh Garg, Parag Singla
2025	J	`jnl`	Can Multimodal LLMs Solve the Basic Perception Problems of Percept-V? CoRR Samrajnee Ghosh, Naman Agarwal, Hemanshu Garg, Chinmay Mittal, Mausam, Parag Singla
2025	J	`jnl`	Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction. CoRR Vipul Rathore, Malik Hammad Faisal, Parag Singla, Mausam
2025	A*	`conf`	Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation. CVPR Rohith Peddi, Saurabh, Ayush Abhay Shrivastava, Parag Singla, Vibhav Gogate
2024	C	`conf`	Assessing the impact of farm ponds on agricultural productivity in Northern India. COMPASS Ramneek Kaur, Kshitiz Bansal, Devang Garg, Ramita Sardana, Saketh Vishnubhatla, Sanjali Agrawal, Shruti Kumari, Parag Singla, Aaditeshwar Seth
2024	—	`conf`	DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion. ACL (Short Papers) Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam
2024	J	`jnl`	GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis. CoRR Ashish Goswami, Satyam Kumar Modi, Santhosh Rishi Deshineni, Harman Singh, Prathosh A. P., Parag Singla
2024	J	`jnl`	Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers. CoRR Sanket Gandhi, Atul, Samanyu Mahajan, Vishal Sharma, Rushil Gupta, Arnab Kumar Mondal, Parag Singla
2024	A	`conf`	Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach. IROS Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Singh, Parag Singla, Rohan Paul
2024	J	`jnl`	Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach. CoRR Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Singh, Parag Singla, Rohan Paul
2024	J	`jnl`	PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems? CoRR Chinmay Mittal, Krishna Kartik, Mausam, Parag Singla
2024	—	`conf`	SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models. EMNLP (Findings) Vipul Kumar Rathore, Aniruddha Deb, Ankish Kumar Chandresh, Parag Singla, Mausam
2024	J	`jnl`	SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models. CoRR Vipul Rathore, Aniruddha Deb, Ankish Chandresh, Parag Singla, Mausam
2024	J	`jnl`	Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. CoRR Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam
2024	J	`jnl`	Sketch-Plan-Generalize: Continual Few-Shot Learning of Inductively Generalizable Spatial Concepts for Language-Guided Robot Manipulation. CoRR Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh, Divyanshu Aggarwal, Gurarmaan Singh Panjeta, Vishal Bindal, Arnav Tuli, Rohan Paul, Parag Singla
2024	J	`jnl`	SoLAD: Sampling Over Latent Adapter for Few Shot Generation. IEEE Signal Process. Lett. Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh A. P.
2024	—	`conf`	Towards Scene Graph Anticipation. ECCV (88) Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate
2024	J	`jnl`	Towards Scene Graph Anticipation. CoRR Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate
2024	J	`jnl`	Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation. CoRR Rohith Peddi, Saurabh, Ayush Abhay Shrivastava, Parag Singla, Vibhav Gogate
2023	J	`jnl`	Ensembling Textual and Structure-Based Models for Knowledge Graph Completion. CoRR Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam
2023	A*	`conf`	Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP
2023	J	`jnl`	Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems. CoRR Aniruddha Deb, Neeva Oza, Sarthak Singla, Dinesh Khandelwal, Dinesh Garg, Parag Singla
2023	A*	`conf`	Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. EMNLP Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla
2023	J	`jnl`	Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. CoRR Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
2023	A*	`conf`	Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. ICRA Namasivayam Kalithasan, Himanshu Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
2023	A	`conf`	Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. AISTATS Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP
2023	—	`ch.`	Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces. Compendium of Neurosymbolic Artificial Intelligence Yatin Nandwani, Mausam, Parag Singla
2023	J	`jnl`	SSDMM-VAE: variational multi-modal disentangled representation learning. Appl. Intell. Arnab Kumar Mondal, Ajay Sailopal, Parag Singla, Prathosh AP
2023	—	`conf`	Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. ACL (2) Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam
2023	A	`conf`	SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. UAI Vishal Sharma, Daman Arora, Mausam, Parag Singla
2023	J	`jnl`	Towards Fair and Calibrated Models. CoRR Anand Brahmbhatt, Vipul Rathore, Mausam, Parag Singla
2023	A*	`conf`	ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. EMNLP Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam
2023	J	`jnl`	ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. CoRR Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam
2022	J	`jnl`	A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
2022	A*	`conf`	A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla
2022	J	`jnl`	Learning Neuro-symbolic Programs for Language Guided Robot Manipulation. CoRR Namasivayam Kalithasan, Himanshu Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
2022	A*	`conf`	Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
2022	J	`jnl`	Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR Yatin Nandwani, Vidit Jain, Mausam, Parag Singla
2022	—	`conf`	PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. ACL (2) Vipul Rathore, Kartikeya Badola, Parag Singla, Mausam
2022	A	`conf`	SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs. UAI Vishal Sharma, Daman Arora, Florian Geißer, Mausam, Parag Singla
2022	J	`jnl`	scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2021	J	`jnl`	A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction. CoRR Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla
2021	A	`conf`	Answering POI-recommendation Questions using Tourism Reviews. CIKM Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam
2021	J	`jnl`	CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam
2021	J	`jnl`	Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions. Nat. Lang. Eng. Danish Contractor, Barun Patra, Mausam, Parag Singla
2021	—	`conf`	Explanations for CommonsenseQA: New Dataset and Models. ACL/IJCNLP (1) Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
2021	A	`conf`	FlexAE: flexibly learning latent priors for wasserstein auto-encoders. UAI Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh
2021	A*	`conf`	Joint Spatio-Textual Reasoning for Answering Tourism Questions. WWW Danish Contractor, Shashank Goel, Mausam, Parag Singla
2021	A*	`conf`	Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
2021	J	`jnl`	ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2021	J	`jnl`	Towards an Interpretable Latent Space in Structured Models for Video Prediction. CoRR Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla
2020	J	`jnl`	Joint Spatio-Textual Reasoning for Answering Tourism Questions. CoRR Danish Contractor, Shashank Goel, Mausam, Parag Singla
2020	A	`conf`	MaskAAE: Latent space optimization for Adversarial Auto-Encoders. UAI Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.
2020	J	`jnl`	Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
2020	—	`conf`	OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam
2020	J	`jnl`	To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2020	—	`conf`	Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task. WMT@EMNLP Lovish Madaan, Soumya Sharma, Parag Singla
2019	A*	`conf`	A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla
2019	J	`jnl`	CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. CoRR Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla
2019	A	`conf`	Domain-Size Aware Markov Logic Networks. AISTATS Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla
2019	J	`jnl`	Large Scale Question Answering using Tourism Data. CoRR Danish Contractor, Krunal Shah, Aditi Partap, Mausam, Parag Singla
2019	C	`conf`	Price forecasting & anomaly detection for agricultural commodities in India. COMPASS Lovish Madaan, Ankur Sharma, Praneet Khandelwal, Shivank Goel, Parag Singla, Aaditeshwar Seth
2019	—	`ed.`	Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2019, Kolkata, India, January 3-5, 2019 COMAD/CODS Raghu Krishnapuram, Parag Singla
2019	J	`jnl`	Towards Latent Space Optimality for Auto-Encoder Based Generative Models. CoRR Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.
2018	A	`conf`	Block-Value Symmetries in Probabilistic Graphical Models. UAI Gagan Madan, Ankit Anand, Mausam, Parag Singla
2018	J	`jnl`	Block-Value Symmetries in Probabilistic Graphical Models. CoRR Gagan Madan, Ankit Anand, Mausam, Parag Singla
2018	J	`jnl`	Domain Aware Markov Logic Networks. CoRR Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla
2018	J	`jnl`	Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks. CoRR Dinesh Khandelwal, Suyash Agrawal, Parag Singla, Chetan Arora
2018	A	`conf`	Learning Higher Order Potentials for MRFs. WACV Dinesh Khandelwal, Parag Singla, Chetan Arora
2018	A	`conf`	Lifted Marginal MAP Inference. UAI Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla
2018	J	`jnl`	Lifted Marginal MAP Inference. CoRR Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla
2018	J	`jnl`	Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism. CoRR Danish Contractor, Barun Patra, Mausam, Parag Singla
2017	J	`jnl`	Analysis and characterization of comparison shopping behavior in the mobile handset domain. Electron. Commer. Res. Mona Gupta, Happy Mittal, Parag Singla, Amitabha Bagchi
2017	A*	`conf`	Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
2017	J	`jnl`	Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
2017	—	`conf`	Conditional Term Equivalent Symmetry Breaking for SAT. AAAI Workshops Timothy Kopp, Parag Singla, Henry A. Kautz
2017	J	`jnl`	Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion. CoRR Harvineet Singh, Amitabha Bagchi, Parag Singla
2017	A	`conf`	Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
2017	J	`jnl`	Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
2016	A*	`conf`	Contextual Symmetries in Probabilistic Graphical Models. IJCAI Ankit Anand, Aditya Grover, Mausam, Parag Singla
2016	J	`jnl`	Contextual Symmetries in Probabilistic Graphical Models. CoRR Ankit Anand, Aditya Grover, Mausam, Parag Singla
2016	—	`conf`	Entity-balanced Gaussian pLSA for Automated Comparison. HLT-NAACL Danish Contractor, Parag Singla, Mausam
2016	J	`jnl`	Lazy Generic Cuts. Comput. Vis. Image Underst. Dinesh Khandelwal, Kush Bhatia, Chetan Arora, Parag Singla
2016	J	`jnl`	Lifted Region-Based Belief Propagation. CoRR David B. Smith, Parag Singla, Vibhav Gogate
2016	A*	`conf`	Min Norm Point Algorithm for Higher Order MRF-MAP Inference. CVPR Ishant Shanu, Chetan Arora, Parag Singla
2016	A*	`conf`	OGA-UCT: On-the-Go Abstractions in UCT. ICAPS Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla
2016	A*	`conf`	Scalable Training of Markov Logic Networks Using Approximate Counting. AAAI Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate
2016	J	`jnl`	Technical Perspective: Combining logic and probability. Commun. ACM Henry A. Kautz, Parag Singla
2016	—	`conf`	Toward Caching Symmetrical Subtheories for Weighted Model Counting. AAAI Workshop: Beyond NP Timothy Kopp, Parag Singla, Henry A. Kautz
2016	A*	`conf`	Unifying Logical and Statistical AI. LICS Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2016	A*	`conf`	Unsupervised Alignment of Actions in Video with Text Descriptions. IJCAI Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, Henry A. Kautz
2015	A	`conf`	A Novel Abstraction Framework for Online Planning: Extended Abstract. AAMAS Ankit Anand, Aditya Grover, Mausam, Parag Singla
2015	A*	`conf`	ASAP-UCT: Abstraction of State-Action Pairs in UCT. IJCAI Ankit Anand, Aditya Grover, Mausam, Parag Singla
2015	—	`conf`	Fast Lifted MAP Inference via Partitioning. NIPS Somdeb Sarkhel, Parag Singla, Vibhav Gogate
2015	—	`conf`	Lifted Inference Rules With Constraints. NIPS Happy Mittal, Anuj Mahajan, Vibhav Gogate, Parag Singla
2015	—	`conf`	Lifted Symmetry Detection and Breaking for MAP Inference. NIPS Timothy Kopp, Parag Singla, Henry A. Kautz
2015	J	`jnl`	On the Role of Conductance, Geography and Topology in Predicting Hashtag Virality. CoRR Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla
2015	J	`jnl`	On the role of conductance, geography and topology in predicting hashtag virality. Soc. Netw. Anal. Min. Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla
2014	—	`conf`	An Integer Polynomial Programming Based Framework for Lifted MAP Inference. NIPS Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
2014	A*	`conf`	Approximate Lifting Techniques for Belief Propagation. AAAI Parag Singla, Aniruddh Nath, Pedro M. Domingos
2014	—	`conf`	Characterizing comparison shopping behavior: A case study. ICDE Workshops Mona Gupta, Happy Mittal, Parag Singla, Amitabha Bagchi
2014	A	`conf`	Lifted MAP Inference for Markov Logic Networks. AISTATS Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
2014	—	`conf`	New Rules for Domain Independent Lifted MAP Inference. NIPS Happy Mittal, Prasoon Goyal, Vibhav Gogate, Parag Singla
2013	—	`conf`	Scaling-Up Quadratic Programming Feature Selection. AAAI (Late-Breaking Developments) Yamuna Prasad, K. K. Biswas, Parag Singla
2012	Misc	`conf`	Markov Logic Networks: Theory, Algorithms and Applications. COMAD Parag Singla
2012	J	`jnl`	Markov Logic in Infinite Domains CoRR Parag Singla, Pedro M. Domingos
2011	A*	`conf`	Abductive Markov Logic for Plan Recognition. AAAI Parag Singla, Raymond J. Mooney
2011	A	`conf`	Constraint Propagation for Efficient Inference in Markov Logic. CP Tivadar Papai, Parag Singla, Henry A. Kautz
2010	—	`conf`	Approximate Lifted Belief Propagation. StarAI@AAAI Parag Singla, Aniruddh Nath, Pedro M. Domingos
2010	—	`ch.`	Markov Logic: A Language and Algorithms for Link Mining. Link Mining Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2008	—	`conf`	Discovery of social relationships in consumer photo collections using Markov Logic. CVPR Workshops Parag Singla, Henry A. Kautz, Jiebo Luo, Andrew C. Gallagher
2008	—	`conf`	Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2008	A*	`conf`	Lifted First-Order Belief Propagation. AAAI Parag Singla, Pedro M. Domingos
2008	—	`ch.`	Markov Logic. Probabilistic Inductive Logic Programming Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
2008	—	`conf`	Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang
2008	A*	`conf`	Yes, there is a correlation: - from social networks to personal behavior on the web. WWW Parag Singla, Matthew Richardson
2007	—	`conf`	Markov Logic in Infinite Domains. Probabilistic, Logical and Relational Learning - A Further Synthesis Pedro M. Domingos, Parag Singla
2007	A	`conf`	Markov Logic in Infinite Domains. UAI Parag Singla, Pedro M. Domingos
2006	A*	`conf`	Entity Resolution with Markov Logic. ICDM Parag Singla, Pedro M. Domingos
2006	A*	`conf`	Memory-Efficient Inference in Relational Domains. AAAI Parag Singla, Pedro M. Domingos
2006	A*	`conf`	Unifying Logical and Statistical AI. AAAI Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2005	A*	`conf`	Collective Object Identification. IJCAI Parag Singla, Pedro M. Domingos
2005	A*	`conf`	Discriminative Training of Markov Logic Networks. AAAI Parag Singla, Pedro M. Domingos
2005	—	`conf`	Object Identification with Attribute-Mediated Dependences. PKDD Parag Singla, Pedro M. Domingos