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2020 – today
- 2024
[j1]Fábio Gagliardi Cozman
, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya:
Markov conditions and factorization in logical credal networks. Int. J. Approx. Reason. 172: 109237 (2024)- [i9]Chitra Subramanian, Miao Liu, Naweed Khan, Jonathan Lenchner, Aporva Amarnath, Sarathkrishna Swaminathan, Ryan Riegel, Alexander Gray:
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making. CoRR abs/2402.13440 (2024) - 2023
- [c7]Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel:
Approximate Inference in Logical Credal Networks. IJCAI 2023: 5694-5701 - 2022
- [c6]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 - [c5]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) 2022: 3866-3879 - [c4]Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu:
Logical Credal Networks. NeurIPS 2022 - [i8]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR abs/2201.05793 (2022) - 2021
- [c3]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) 2021: 3884-3894 - [c2]Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray:
Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. ICASSP 2021: 5559-5563 - [i7]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) - [i6]Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu:
Logical Credal Networks. CoRR abs/2109.12240 (2021) - [i5]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR abs/2109.13430 (2021) - [i4]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
- [i3]Ryan Riegel, Alexander G. Gray, Francois P. S. Luus, Naweed Khan, Ndivhuwo Makondo, Ismail Yunus Akhalwaya, Haifeng Qian, Ronald Fagin, Francisco Barahona, Udit Sharma, Shajith Ikbal, Hima Karanam, Sumit Neelam, Ankita Likhyani, Santosh K. Srivastava:
Logical Neural Networks. CoRR abs/2006.13155 (2020) - [i2]Ronald Fagin, Ryan Riegel, Alexander G. Gray:
Foundations of Reasoning with Uncertainty via Real-valued Logics. CoRR abs/2008.02429 (2020) - [i1]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR abs/2012.01707 (2020)
2010 – 2019
- 2014
- [b1]Ryan Riegel:
Generalized N-body problems: a framework for scalable computation. Georgia Institute of Technology, Atlanta, GA, USA, 2014
2000 – 2009
- 2008
- [c1]Ryan Riegel, Alexander G. Gray, Gordon Richards:
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars. SDM 2008: 208-218
Coauthor Index
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