Prithviraj Sen

According to our database, Prithviraj Sen authored at least 49 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning variant product relationship and variation attributes from e-commerce website structures.

Pedro Herrero-Vidal, You-Lin Chen, Cris Liu, Prithviraj Sen, Lichao Wang

CoRR, 2024

2023

Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations.

Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.

Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Closer Look at the Calibration of Differentially Private Learners.

Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto

CoRR, 2022

Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules.

Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks.

Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Indexed Active Learning for Matching Heterogeneous Entity Representations.

Arjit Jain, Sunita Sarawagi, Prithviraj Sen

Proc. VLDB Endow., 2021

Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion.

Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray

CoRR, 2021

Logic Embeddings for Complex Query Answering.

Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray

CoRR, 2021

Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting.

Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir R. Radev

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Neuro-Symbolic Approaches for Text-Based Policy Learning.

Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking.

Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Forecasting in multivariate irregularly sampled time series with missing values.

Shivam Srivastava, Prithviraj Sen, Berthold Reinwald

CoRR, 2020

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching.

Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat

Proceedings of the 2020 International Conference on Management of Data, 2020

A Survey of the State of Explainable AI for Natural Language Processing.

Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification.

Prithviraj Sen, Marina Danilevsky, Yunyao Li, Siddhartha Brahma, Matthias Boehm, Laura Chiticariu, Rajasekar Krishnamurthy

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization.

Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

SystemER: A Human-in-the-loop System for Explainable Entity Resolution.

Kun Qian, Lucian Popa, Prithviraj Sen

Proc. VLDB Endow., 2019

A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics.

Yiwei Yang, Eser Kandogan, Yunyao Li, Prithviraj Sen, Walter S. Lasecki

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Learning-Based Methods with Human-in-the-Loop for Entity Resolution.

Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies.

Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald, Yunyao Li

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop.

Prithviraj Sen, Yunyao Li, Eser Kandogan, Yiwei Yang, Walter S. Lasecki

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Prithviraj Sen, Alexandre V. Evfimievski, Niketan Pansare

Proc. VLDB Endow., 2018

Deep Learning with Apache SystemML.

Niketan Pansare, Michael Dusenberry, Nakul Jindal, Matthias Boehm, Berthold Reinwald, Prithviraj Sen

CoRR, 2018

On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen

CoRR, 2018

2017

Collective Classification.

Galileo Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases.

Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, Sang-Don Han, Mauricio A. Hernández, Howard Ho, Parag Jain, Salil Joshi, Hima Karanam, Saravanan Krishnan, Rajasekar Krishnamurthy, Yunyao Li, Satishkumaar Manivannan, Ashish R. Mittal, Fatma Ozcan, Abdul Quamar, Poornima Raman, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Prithviraj Sen, Shivakumar Vaithyanathan, Mitesh Vasa, Hao Wang, Huaiyu Zhu

Proc. VLDB Endow., 2017

A Rectangle Mining Method for Understanding the Semantics of Financial Tables.

Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Active Learning for Large-Scale Entity Resolution.

Kun Qian, Lucian Popa, Prithviraj Sen

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.

Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

SystemML: Declarative Machine Learning on Spark.

Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda

Proc. VLDB Endow., 2016

2014

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan

Proc. VLDB Endow., 2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.

Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

IEEE Data Eng. Bull., 2014

2013

Compiling machine learning algorithms with SystemML.

Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

Community detection in content-sharing social networks.

Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Collective context-aware topic models for entity disambiguation.

Prithviraj Sen

Proceedings of the 21st World Wide Web Conference 2012, 2012

2011

Web information extraction using Markov logic networks.

Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen

Proceedings of the 20th International Conference on World Wide Web, 2011

Entity disambiguation with hierarchical topic models.

Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Collective Classification.

Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor

Proceedings of the Encyclopedia of Machine Learning, 2010

Read-Once Functions and Query Evaluation in Probabilistic Databases.

Prithviraj Sen, Amol Deshpande, Lise Getoor

Proc. VLDB Endow., 2010

Representing Large-Scale Uncertainty through Probabilistic Databases.

Prithviraj Sen

Proceedings of the 16th International Conference on Management of Data, 2010

2009

Representing and Querying Uncertain Data.

Prithviraj Sen

PhD thesis, 2009

PrDB: managing and exploiting rich correlations in probabilistic databases.

Prithviraj Sen, Amol Deshpande, Lise Getoor

VLDB J., 2009

Bisimulation-based Approximate Lifted Inference.

Prithviraj Sen, Amol Deshpande, Lise Getoor

Proceedings of the UAI 2009, 2009

2008

Exploiting shared correlations in probabilistic databases.

Prithviraj Sen, Amol Deshpande, Lise Getoor

Proc. VLDB Endow., 2008

Cost-sensitive learning with conditional Markov networks.

Prithviraj Sen, Lise Getoor

Data Min. Knowl. Discov., 2008

Collective Classification in Network Data.

Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad

AI Mag., 2008

2007

Representing Tuple and Attribute Uncertainty in Probabilistic Databases.

Prithviraj Sen, Amol Deshpande, Lise Getoor

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Representing and Querying Correlated Tuples in Probabilistic Databases.

Prithviraj Sen, Amol Deshpande

Proceedings of the 23rd International Conference on Data Engineering, 2007