Prithviraj Sen

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 37

Top Venues

CoRR

Proc. VLDB Endow.

ACL (1)

CIKM

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. CoRR (2023)
Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. ACL (1) (2023)
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) (2023)
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR (2023)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. AAAI (2022)
Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto
A Closer Look at the Calibration of Differentially Private Learners. CoRR (2022)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP (2022)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. CoRR (2021)
Arjit Jain, Sunita Sarawagi, Prithviraj Sen
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. CoRR (2021)
Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR (2021)
Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. ACL/IJCNLP (1) (2021)
Arjit Jain, Sunita Sarawagi, Prithviraj Sen
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. Proc. VLDB Endow. 15 (1) (2021)
Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar
Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) (2021)
Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir R. Radev
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. RepL4NLP@ACL-IJCNLP (2021)
Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray
Logic Embeddings for Complex Query Answering. CoRR (2021)
Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. CoRR (2021)
Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. COLING (2020)
Shivam Srivastava, Prithviraj Sen, Berthold Reinwald
Forecasting in multivariate irregularly sampled time series with missing values. CoRR (2020)
Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. CoRR (2020)
Prithviraj Sen, Marina Danilevsky, Yunyao Li, Siddhartha Brahma, Matthias Boehm, Laura Chiticariu, Rajasekar Krishnamurthy
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification. EMNLP (1) (2020)
Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. SIGMOD Conference (2020)
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
A Survey of the State of Explainable AI for Natural Language Processing. CoRR (2020)
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
A Survey of the State of Explainable AI for Natural Language Processing. AACL/IJCNLP (2020)
Yiwei Yang, Eser Kandogan, Yunyao Li, Prithviraj Sen, Walter S. Lasecki
A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics. IUI Workshops (2019)
Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen
Learning-Based Methods with Human-in-the-Loop for Entity Resolution. CIKM (2019)
Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald, Yunyao Li
Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies. BCB (2019)
Prithviraj Sen, Yunyao Li, Eser Kandogan, Yiwei Yang, Walter S. Lasecki
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. ACL (3) (2019)
Kun Qian, Lucian Popa, Prithviraj Sen
SystemER: A Human-in-the-loop System for Explainable Entity Resolution. Proc. VLDB Endow. 12 (12) (2019)
Yiwei Yang, Eser Kandogan, Yunyao Li, Walter S. Lasecki, Prithviraj Sen
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. CoRR (2019)
Niketan Pansare, Michael Dusenberry, Nakul Jindal, Matthias Boehm, Berthold Reinwald, Prithviraj Sen
Deep Learning with Apache SystemML. CoRR (2018)
Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. CoRR (2018)
Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Prithviraj Sen, Alexandre V. Evfimievski, Niketan Pansare
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. 11 (12) (2018)
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
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. Proc. VLDB Endow. 10 (12) (2017)
Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. CIDR (2017)
Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen
A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR (2017)
Kun Qian, Lucian Popa, Prithviraj Sen
Active Learning for Large-Scale Entity Resolution. CIKM (2017)
Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda
SystemML: Declarative Machine Learning on Spark. Proc. VLDB Endow. 9 (13) (2016)
Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. 7 (7) (2014)
Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. 37 (3) (2014)
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
Compiling machine learning algorithms with SystemML. SoCC (2013)
Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji
Community detection in content-sharing social networks. ASONAM (2013)
Prithviraj Sen
Collective context-aware topic models for entity disambiguation. WWW (2012)
Prithviraj Sen, Amol Deshpande, Lise Getoor
Bisimulation-based Approximate Lifted Inference CoRR (2012)
Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen
Web information extraction using Markov logic networks. WWW (Companion Volume) (2011)
Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu
Entity disambiguation with hierarchical topic models. KDD (2011)
Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen
Web information extraction using markov logic networks. KDD (2011)
Prithviraj Sen, Amol Deshpande, Lise Getoor
Read-Once Functions and Query Evaluation in Probabilistic Databases. Proc. VLDB Endow. 3 (1) (2010)
Prithviraj Sen
Representing Large-Scale Uncertainty through Probabilistic Databases. COMAD (2010)
Prithviraj Sen, Amol Deshpande, Lise Getoor
PrDB: managing and exploiting rich correlations in probabilistic databases. VLDB J. 18 (5) (2009)
Prithviraj Sen, Amol Deshpande, Lise Getoor
Bisimulation-based Approximate Lifted Inference. UAI (2009)
Prithviraj Sen, Lise Getoor
Cost-sensitive learning with conditional Markov networks. Data Min. Knowl. Discov. 17 (2) (2008)
Prithviraj Sen, Amol Deshpande, Lise Getoor
Exploiting shared correlations in probabilistic databases. Proc. VLDB Endow. 1 (1) (2008)
Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad
Collective Classification in Network Data. AI Mag. 29 (3) (2008)
Prithviraj Sen, Amol Deshpande, Lise Getoor
Representing Tuple and Attribute Uncertainty in Probabilistic Databases. ICDM Workshops (2007)
Prithviraj Sen, Amol Deshpande
Representing and Querying Correlated Tuples in Probabilistic Databases. ICDE (2007)
Prithviraj Sen, Lise Getoor
Cost-sensitive learning with conditional Markov networks. ICML (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Prithviraj Sen