Parthasarathy, Srinivasan

21 publications

ICLR 2025 A Generic Framework for Conformal Fairness Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy

TMLR 2025 Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs Pranav Maneriker, Aditya T. Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy

NeurIPSW 2024 DiffER: Categorical Diffusion Models for Chemical Retrosynthesis Sean Current, Ziqi Chen, Xia Ning, Srinivasan Parthasarathy

NeurIPSW 2023 Shape-Conditioned 3D Molecule Generation via Equivariant Diffusion Models Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning

TMLR 2022 Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel

JAIR 2021 A Tight Bound for Stochastic Submodular Cover Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy

IJCAI 2021 Open Intent Extraction from Natural Language Interactions (Extended Abstract) Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy

COLT 2020 Adaptive Submodular Maximization Under Stochastic Item Costs Srinivasan Parthasarathy

IJCAI 2020 EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy

CVPRW 2020 Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy

AAAI 2019 ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy

IJCAI 2019 Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

ICMLW 2019 Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit Problem Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

AAAI 2019 Symmetrization for Embedding Directed Graphs Jiankai Sun, Srinivasan Parthasarathy

NeurIPS 2017 Adaptive Bayesian Sampling with Monte Carlo EM Anirban Roychowdhury, Srinivasan Parthasarathy

IJCAI 2017 Fast Change Point Detection on Dynamic Social Networks Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy

ECML-PKDD 2016 Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels Aniket Chakrabarti, Bortik Bandyopadhyay, Srinivasan Parthasarathy

ICML 2016 Robust Monte Carlo Sampling Using Riemannian Nosé-Poincaré Hamiltonian Dynamics Anirban Roychowdhury, Brian Kulis, Srinivasan Parthasarathy

ECML-PKDD 2014 Fast Nearest Neighbor Search on Large Time-Evolving Graphs Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu

ICML 2006 Learning Approximate MRFs from Large Transactional Data Chao Wang, Srinivasan Parthasarathy

IJCAI 2005 Mining Spatial Object Associations for Scientific Data Hui Yang, Srinivasan Parthasarathy, Sameep Mehta