Parag Singla

According to our database1, Parag Singla authored at least 90 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems?
CoRR, 2024

2023
SSDMM-VAE: variational multi-modal disentangled representation learning.
Appl. Intell., April, 2023

Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Ensembling Textual and Structure-Based Models for Knowledge Graph Completion.
CoRR, 2023

Towards Fair and Calibrated Models.
CoRR, 2023

Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems.
CoRR, 2023

Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach.
CoRR, 2023

SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Learning Neuro-symbolic Programs for Language Guided Robot Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

A Solver-free Framework for Scalable Learning in Neural ILP Architectures.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Models for Output-Space Invariance in Combinatorial Problems.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions.
Nat. Lang. Eng., 2021

A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction.
CoRR, 2021

Towards an Interpretable Latent Space in Structured Models for Video Prediction.
CoRR, 2021

CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion.
CoRR, 2021

Joint Spatio-Textual Reasoning for Answering Tourism Questions.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FlexAE: flexibly learning latent priors for wasserstein auto-encoders.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces.
Proceedings of the 9th International Conference on Learning Representations, 2021

Answering POI-recommendation Questions using Tourism Reviews.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Explanations for CommonsenseQA: New Dataset and Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs.
CoRR, 2020

Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

MaskAAE: Latent space optimization for Adversarial Auto-Encoders.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019
Towards Latent Space Optimality for Auto-Encoder Based Generative Models.
CoRR, 2019

Large Scale Question Answering using Tourism Data.
CoRR, 2019

CVC4-SymBreak: Derived SMT solver at SMT Competition 2019.
CoRR, 2019

A Primal Dual Formulation For Deep Learning With Constraints.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Price forecasting & anomaly detection for agricultural commodities in India.
Proceedings of the Conference on Computing & Sustainable Societies, 2019

Domain-Size Aware Markov Logic Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks.
CoRR, 2018

Domain Aware Markov Logic Networks.
CoRR, 2018

Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism.
CoRR, 2018

Learning Higher Order Potentials for MRFs.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Lifted Marginal MAP Inference.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Block-Value Symmetries in Probabilistic Graphical Models.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017
Analysis and characterization of comparison shopping behavior in the mobile handset domain.
Electron. Commer. Res., 2017

Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion.
CoRR, 2017

Coarse-to-Fine Lifted MAP Inference in Computer Vision.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Conditional Term Equivalent Symmetry Breaking for SAT.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Lazy Generic Cuts.
Comput. Vis. Image Underst., 2016

Lifted Region-Based Belief Propagation.
CoRR, 2016

Technical Perspective: Combining logic and probability.
Commun. ACM, 2016

Entity-balanced Gaussian pLSA for Automated Comparison.
Proceedings of the NAACL HLT 2016, 2016

Unifying Logical and Statistical AI.
Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, 2016

Unsupervised Alignment of Actions in Video with Text Descriptions.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Contextual Symmetries in Probabilistic Graphical Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Min Norm Point Algorithm for Higher Order MRF-MAP Inference.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

OGA-UCT: On-the-Go Abstractions in UCT.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Scalable Training of Markov Logic Networks Using Approximate Counting.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Toward Caching Symmetrical Subtheories for Weighted Model Counting.
Proceedings of the Beyond NP, 2016

2015
On the role of conductance, geography and topology in predicting hashtag virality.
Soc. Netw. Anal. Min., 2015

Fast Lifted MAP Inference via Partitioning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Lifted Inference Rules With Constraints.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Lifted Symmetry Detection and Breaking for MAP Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

ASAP-UCT: Abstraction of State-Action Pairs in UCT.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Novel Abstraction Framework for Online Planning: Extended Abstract.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

New Rules for Domain Independent Lifted MAP Inference.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Characterizing comparison shopping behavior: A case study.
Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

Lifted MAP Inference for Markov Logic Networks.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Approximate Lifting Techniques for Belief Propagation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Scaling-Up Quadratic Programming Feature Selection.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Markov Logic Networks: Theory, Algorithms and Applications.
Proceedings of the 18th International Conference on Management of Data, 2012

2011
Constraint Propagation for Efficient Inference in Markov Logic.
Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

Abductive Markov Logic for Plan Recognition.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Approximate Lifted Belief Propagation.
Proceedings of the Statistical Relational Artificial Intelligence, 2010

Markov Logic: A Language and Algorithms for Link Mining.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2008
Yes, there is a correlation: - from social networks to personal behavior on the web.
Proceedings of the 17th International Conference on World Wide Web, 2008

Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition.
Proceedings of the Structural, 2008

Just Add Weights: Markov Logic for the Semantic Web.
Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008

Markov Logic.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Discovery of social relationships in consumer photo collections using Markov Logic.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

Lifted First-Order Belief Propagation.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Markov Logic in Infinite Domains.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2006
Entity Resolution with Markov Logic.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Memory-Efficient Inference in Relational Domains.
Proceedings of the Proceedings, 2006

Unifying Logical and Statistical AI.
Proceedings of the Proceedings, 2006

2005
Object Identification with Attribute-Mediated Dependences.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Collective Object Identification.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Discriminative Training of Markov Logic Networks.
Proceedings of the Proceedings, 2005


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