Prithviraj Sen

60 papers A* 7A 5B 2Misc 1Journal 28Unranked 14

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Learning variant product relationship and variation attributes from e-commerce website structures. CoRR Pedro Herrero-Vidal, You-Lin Chen, Cris Liu, Prithviraj Sen, Lichao Wang
2023	—	`conf`	Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. ACL (1) Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang
2023	J	`jnl`	Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. CoRR Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang
2023	—	`conf`	Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023	J	`jnl`	Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2022	J	`jnl`	A Closer Look at the Calibration of Differentially Private Learners. CoRR Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto
2022	A*	`conf`	Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
2022	A*	`conf`	Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. AAAI Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
2021	J	`jnl`	Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
2021	J	`jnl`	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. CoRR Arjit Jain, Sunita Sarawagi, Prithviraj Sen
2021	J	`jnl`	Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. Proc. VLDB Endow. Arjit Jain, Sunita Sarawagi, Prithviraj Sen
2021	—	`conf`	Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. RepL4NLP@ACL-IJCNLP Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir R. Radev
2021	—	`conf`	LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. ACL/IJCNLP (1) Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
2021	J	`jnl`	LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. CoRR Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
2021	J	`jnl`	Logic Embeddings for Complex Query Answering. CoRR Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray
2021	—	`conf`	Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar
2021	J	`jnl`	Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. CoRR Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
2020	—	`conf`	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. SIGMOD Conference Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat
2020	J	`jnl`	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. CoRR Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat
2020	—	`conf`	A Survey of the State of Explainable AI for Natural Language Processing. AACL/IJCNLP Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
2020	J	`jnl`	A Survey of the State of Explainable AI for Natural Language Processing. CoRR Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
2020	B	`conf`	Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. COLING Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li
2020	J	`jnl`	Forecasting in multivariate irregularly sampled time series with missing values. CoRR Shivam Srivastava, Prithviraj Sen, Berthold Reinwald
2020	—	`conf`	Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification. EMNLP (1) Prithviraj Sen, Marina Danilevsky, Yunyao Li, Siddhartha Brahma, Matthias Boehm, Laura Chiticariu, Rajasekar Krishnamurthy
2019	—	`conf`	A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics. IUI Workshops Yiwei Yang, Eser Kandogan, Yunyao Li, Prithviraj Sen, Walter S. Lasecki
2019	—	`conf`	HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. ACL (3) Prithviraj Sen, Yunyao Li, Eser Kandogan, Yiwei Yang, Walter S. Lasecki
2019	J	`jnl`	HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. CoRR Yiwei Yang, Eser Kandogan, Yunyao Li, Walter S. Lasecki, Prithviraj Sen
2019	—	`conf`	Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies. BCB Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald, Yunyao Li
2019	A	`conf`	Learning-Based Methods with Human-in-the-Loop for Entity Resolution. CIKM Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen
2019	J	`jnl`	SystemER: A Human-in-the-loop System for Explainable Entity Resolution. Proc. VLDB Endow. Kun Qian, Lucian Popa, Prithviraj Sen
2018	J	`jnl`	Deep Learning with Apache SystemML. CoRR Niketan Pansare, Michael Dusenberry, Nakul Jindal, Matthias Boehm, Berthold Reinwald, Prithviraj Sen
2018	J	`jnl`	On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. CoRR Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen
2018	J	`jnl`	On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Prithviraj Sen, Alexandre V. Evfimievski, Niketan Pansare
2017	A	`conf`	A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen
2017	A	`conf`	Active Learning for Large-Scale Entity Resolution. CIKM Kun Qian, Lucian Popa, Prithviraj Sen
2017	—	`ch.`	Collective Classification. Encyclopedia of Machine Learning and Data Mining Galileo Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor
2017	J	`jnl`	Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. Proc. VLDB Endow. 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
2017	A	`conf`	SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. CIDR Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen
2016	J	`jnl`	SystemML: Declarative Machine Learning on Spark. Proc. VLDB Endow. Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda
2014	J	`jnl`	Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
2014	J	`jnl`	SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2013	B	`conf`	Community detection in content-sharing social networks. ASONAM Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji
2013	—	`conf`	Compiling machine learning algorithms with SystemML. SoCC Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2012	J	`jnl`	Bisimulation-based Approximate Lifted Inference CoRR Prithviraj Sen, Amol Deshpande, Lise Getoor
2012	A*	`conf`	Collective context-aware topic models for entity disambiguation. WWW Prithviraj Sen
2011	A*	`conf`	Entity disambiguation with hierarchical topic models. KDD Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu
2011	—	`conf`	Web information extraction using Markov logic networks. WWW (Companion Volume) Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen
2011	A*	`conf`	Web information extraction using markov logic networks. KDD Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen
2010	—	`ch.`	Collective Classification. Encyclopedia of Machine Learning Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor
2010	J	`jnl`	Read-Once Functions and Query Evaluation in Probabilistic Databases. Proc. VLDB Endow. Prithviraj Sen, Amol Deshpande, Lise Getoor
2010	Misc	`conf`	Representing Large-Scale Uncertainty through Probabilistic Databases. COMAD Prithviraj Sen
2009	A	`conf`	Bisimulation-based Approximate Lifted Inference. UAI Prithviraj Sen, Amol Deshpande, Lise Getoor
2009	J	`jnl`	PrDB: managing and exploiting rich correlations in probabilistic databases. VLDB J. Prithviraj Sen, Amol Deshpande, Lise Getoor
2009	—	`—`	Representing and Querying Uncertain Data. Prithviraj Sen
2008	J	`jnl`	Collective Classification in Network Data. AI Mag. Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad
2008	J	`jnl`	Cost-sensitive learning with conditional Markov networks. Data Min. Knowl. Discov. Prithviraj Sen, Lise Getoor
2008	J	`jnl`	Exploiting shared correlations in probabilistic databases. Proc. VLDB Endow. Prithviraj Sen, Amol Deshpande, Lise Getoor
2007	—	`conf`	Representing Tuple and Attribute Uncertainty in Probabilistic Databases. ICDM Workshops Prithviraj Sen, Amol Deshpande, Lise Getoor
2007	A*	`conf`	Representing and Querying Correlated Tuples in Probabilistic Databases. ICDE Prithviraj Sen, Amol Deshpande
2006	A*	`conf`	Cost-sensitive learning with conditional Markov networks. ICML Prithviraj Sen, Lise Getoor