Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. - Srinivas Ravishankar; Chandrahas Dewangan; Partha P. Talukdar (AKBC@NIPS, 2017)

Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. - Srinivas Ravishankar; Chandrahas; Partha Pratim Talukdar (CoRR, 2017)

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. - Nandana Mihindukulasooriya; Gaetano Rossiello; Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Mo Yu; Alfio Gliozzo; Salim Roukos; Alexander G. Gray (ISWC (1), 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)

A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. - Ibrahim Abdelaziz; Srinivas Ravishankar; Pavan Kapanipathi; Salim Roukos; Alexander G. Gray (AAAI, 2021)

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)

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. - Tahira Naseem; Srinivas Ravishankar; Nandana Mihindukulasooriya; Ibrahim Abdelaziz; Young-Suk Lee 001; Pavan Kapanipathi; Salim Roukos; Alfio Gliozzo; Alexander G. Gray (ACL/IJCNLP (2), 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)

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. - Srinivas Ravishankar; June Thai; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Tahira Naseem; Pavan Kapanipathi; Gaetano Rossiello; Achille Fokoue (CoRR, 2021)

Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. - Srinivas Ravishankar; Mariya Toneva; Leila Wehbe (Frontiers Comput. Neurosci., 2021)

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. - Subhajit Chaudhury; Sarathkrishna Swaminathan; R. Chulaka Gunasekara; Maxwell Crouse; Srinivas Ravishankar; Daiki Kimura; Keerthiram Murugesan; Ramón Fernandez Astudillo; Tahira Naseem; Pavan Kapanipathi; Alexander Gray 001 (EMNLP, 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)

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. - Srinivas Ravishankar; Dung Thai; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Tahira Naseem; Pavan Kapanipathi; Gaetano Rossiello; Achille Fokoue (EMNLP (Findings), 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)

CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. - Dung Thai; Srinivas Ravishankar; Ibrahim Abdelaziz; Mudit Chaudhary; Nandana Mihindukulasooriya; Tahira Naseem; Rajarshi Das; Pavan Kapanipathi; Achille Fokoue; Andrew McCallum (CoRR, 2022)

Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels. - Vijay Veerabadran; Srinivas Ravishankar; Yuan Tang; Ritik Raina; Virginia de Sa (NeurIPS, 2023)

Decoding Imagined Handwriting from EEG. - Srinivas Ravishankar; Nora Zajzon; Virginia de Sa (CoRR, 2025)