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2020 – today
- 2024
[i16]Pedro Herrero-Vidal, You-Lin Chen, Cris Liu, Prithviraj Sen, Lichao Wang:
Learning variant product relationship and variation attributes from e-commerce website structures. CoRR abs/2410.02779 (2024)- 2023
- [c29]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: 6764-6776 - [c28]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: 14698-14713 - [i15]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 abs/2305.03117 (2023) - [i14]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 abs/2307.02689 (2023) - 2022
- [c27]Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray:
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. AAAI 2022: 8212-8219 - [c26]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: 3863-3875 - [i13]Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto:
A Closer Look at the Calibration of Differentially Private Learners. CoRR abs/2210.08248 (2022) - 2021
- [j12]Arjit Jain, Sunita Sarawagi, Prithviraj Sen:
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. Proc. VLDB Endow. 15(1): 31-45 (2021) - [c25]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: 775-787 - [c24]Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar:
Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) 2021: 3073-3078 - [c23]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: 1-7 - [i12]Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray:
Logic Embeddings for Complex Query Answering. CoRR abs/2103.00418 (2021) - [i11]Arjit Jain, Sunita Sarawagi, Prithviraj Sen:
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. CoRR abs/2104.03986 (2021) - [i10]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 abs/2106.09795 (2021) - [i9]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 abs/2109.09566 (2021) - [i8]Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray:
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. CoRR abs/2112.03324 (2021) - 2020
- [c22]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: 545-555 - [c21]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: 4211-4221 - [c20]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: 447-459 - [c19]Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat:
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. SIGMOD Conference 2020: 1133-1147 - [i7]Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat:
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. CoRR abs/2003.13114 (2020) - [i6]Shivam Srivastava, Prithviraj Sen, Berthold Reinwald:
Forecasting in multivariate irregularly sampled time series with missing values. CoRR abs/2004.03398 (2020) - [i5]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 abs/2010.00711 (2020)
2010 – 2019
- 2019
- [j11]Kun Qian, Lucian Popa, Prithviraj Sen:
SystemER: A Human-in-the-loop System for Explainable Entity Resolution. Proc. VLDB Endow. 12(12): 1794-1797 (2019) - [c18]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: 135-140 - [c17]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: 338-346 - [c16]Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen:
Learning-Based Methods with Human-in-the-Loop for Entity Resolution. CIKM 2019: 2969-2970 - [c15]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 - [i4]Yiwei Yang, Eser Kandogan, Yunyao Li, Walter S. Lasecki, Prithviraj Sen:
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. CoRR abs/1907.11184 (2019) - 2018
- [j10]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): 1755-1768 (2018) - [i3]Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen:
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. CoRR abs/1801.00829 (2018) - [i2]Niketan Pansare, Michael Dusenberry, Nakul Jindal, Matthias Boehm, Berthold Reinwald, Prithviraj Sen:
Deep Learning with Apache SystemML. CoRR abs/1802.04647 (2018) - 2017
- [j9]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): 1965-1968 (2017) - [c14]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 - [c13]Kun Qian, Lucian Popa, Prithviraj Sen:
Active Learning for Large-Scale Entity Resolution. CIKM 2017: 1379-1388 - [c12]Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen:
A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR 2017: 268-273 - [r2]Galileo Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor:
Collective Classification. Encyclopedia of Machine Learning and Data Mining 2017: 238-242 - 2016
- [j8]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): 1425-1436 (2016) - 2014
- [j7]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): 52-62 (2014) - [j6]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): 553-564 (2014) - 2013
- [c11]Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji:
Community detection in content-sharing social networks. ASONAM 2013: 82-89 - [c10]Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
Compiling machine learning algorithms with SystemML. SoCC 2013: 57:1 - 2012
- [c9]Prithviraj Sen:
Collective context-aware topic models for entity disambiguation. WWW 2012: 729-738 - [i1]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Bisimulation-based Approximate Lifted Inference. CoRR abs/1205.2616 (2012) - 2011
- [c8]Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu:
Entity disambiguation with hierarchical topic models. KDD 2011: 1037-1045 - [c7]Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen:
Web information extraction using markov logic networks. KDD 2011: 1406-1414 - [c6]Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen:
Web information extraction using Markov logic networks. WWW (Companion Volume) 2011: 115-116 - 2010
- [j5]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Read-Once Functions and Query Evaluation in Probabilistic Databases. Proc. VLDB Endow. 3(1): 1068-1079 (2010) - [c5]Prithviraj Sen:
Representing Large-Scale Uncertainty through Probabilistic Databases. COMAD 2010: 10 - [r1]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor:
Collective Classification. Encyclopedia of Machine Learning 2010: 189-193
2000 – 2009
- 2009
- [b1]Prithviraj Sen:
Representing and Querying Uncertain Data. University of Maryland, College Park, MD, USA, 2009 - [j4]Prithviraj Sen, Amol Deshpande, Lise Getoor:
PrDB: managing and exploiting rich correlations in probabilistic databases. VLDB J. 18(5): 1065-1090 (2009) - [c4]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Bisimulation-based Approximate Lifted Inference. UAI 2009: 496-505 - 2008
- [j3]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad:
Collective Classification in Network Data. AI Mag. 29(3): 93-106 (2008) - [j2]Prithviraj Sen, Lise Getoor:
Cost-sensitive learning with conditional Markov networks. Data Min. Knowl. Discov. 17(2): 136-163 (2008) - [j1]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Exploiting shared correlations in probabilistic databases. Proc. VLDB Endow. 1(1): 809-820 (2008) - 2007
- [c3]Prithviraj Sen, Amol Deshpande:
Representing and Querying Correlated Tuples in Probabilistic Databases. ICDE 2007: 596-605 - [c2]Prithviraj Sen, Amol Deshpande, Lise Getoor:
Representing Tuple and Attribute Uncertainty in Probabilistic Databases. ICDM Workshops 2007: 507-512 - 2006
- [c1]Prithviraj Sen, Lise Getoor:
Cost-sensitive learning with conditional Markov networks. ICML 2006: 801-808
Coauthor Index
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