Massive-Scale Kernel Discriminant Analysis: Mining for Quasars. - Ryan Riegel; Alexander G. Gray; Gordon Richards (SDM, 2008)

Generalized N-body problems: a framework for scalable computation. - Ryan Riegel (2014)

Logical Neural Networks. - 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; et al. (CoRR, 2020)

Foundations of Reasoning with Uncertainty via Real-valued Logics. - Ronald Fagin; Ryan Riegel; Alexander G. Gray (CoRR, 2020)

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (CoRR, 2020)

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (ACL/IJCNLP (Findings), 2021)

Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. - Songtao Lu; Naweed Khan; Ismail Yunus Akhalwaya; Ryan Riegel; Lior Horesh; Alexander G. Gray (ICASSP, 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)

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2021)

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. - Prithviraj Sen; Breno W. S. R. de Carvalho; Ryan Riegel; Alexander G. Gray (AAAI, 2022)

SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (EMNLP (Findings), 2022)

Logical Credal Networks. - Radu Marinescu 002; Haifeng Qian; Alexander G. Gray; Debarun Bhattacharjya; Francisco Barahona; Tian Gao; Ryan Riegel; Pravinda Sahu (NeurIPS, 2022)

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2022)

Approximate Inference in Logical Credal Networks. - Radu Marinescu 002; Haifeng Qian; Alexander G. Gray; Debarun Bhattacharjya; Francisco Barahona; Tian Gao; Ryan Riegel (IJCAI, 2023)

A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making. - Chitra Subramanian; Miao Liu; Naweed Khan; Jonathan Lenchner; Aporva Amarnath; Sarathkrishna Swaminathan; Ryan Riegel; Alexander Gray 001 (CoRR, 2024)

Markov conditions and factorization in logical credal networks. - Fábio G. Cozman; Radu Marinescu 002; Junkyu Lee 001; Alexander G. Gray; Ryan Riegel; Debarun Bhattacharjya (Int. J. Approx. Reason., 2024)