Rate-Invariant Autoencoding of Time-Series. - Kaushik Koneripalli; Suhas Lohit; Rushil Anirudh; Pavan K. Turaga (ICASSP, 2020)

Diag2graph: Representing Deep Learning Diagrams In Research Papers As Knowledge Graphs. - Aditi Roy; Ioannis Akrotirianakis; Amar Viswanathan Kannan; Dmitriy Fradkin; Arquimedes Canedo; Kaushik Koneripalli; Tugba Kulahcioglu (ICIP, 2020)

Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. - Manoj Acharya; Anirban Roy; Kaushik Koneripalli; Susmit Jha; Christopher Kanan; Ajay Divakaran (IJCAI, 2022)

Detecting out-of-context objects using contextual cues. - Manoj Acharya; Anirban Roy; Kaushik Koneripalli; Susmit Jha; Christopher Kanan; Ajay Divakaran (CoRR, 2022)

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. - Indranil Sur; Karan Sikka; Matthew Walmer; Kaushik Koneripalli; Anirban Roy; Xiao Lin; Ajay Divakaran; Susmit Jha (ICCV, 2023)

SimGraph: A Scalable Physics-Informed Graph Neural Network-Based Smart Proxy for Reservoir Simulation Workflows. - Subodh Madhav Joshi; Kaushik Koneripalli; Divyanshu Vyas; Kaushic Kalyanaraman (HIPCW, 2024)

Large language model-based evolutionary optimizer: Reasoning with elitism. - Shuvayan Brahmachary; Subodh M. Joshi; Aniruddha Panda; Kaushik Koneripalli; Arun Kumar Sagotra; Harshil Patel; Ankush Sharma; Ameya D. Jagtap; Kaushic Kalyanaraman (Neurocomputing, 2025)