Detection of Double-Nuclei Galaxies in SDSS. - Anwesh Bhattacharya; Snehanshu Saha; Mousumi Das (CoRR, 2020)

A Swarm Variant for the Schrödinger Solver. - Urvil Nileshbhai Jivani; Omatharv Bharat Vaidya; Anwesh Bhattacharya; Snehanshu Saha (IJCNN, 2021)

Fairly Constricted Particle Swarm Optimization. - Anwesh Bhattacharya; Snehanshu Saha (CoRR, 2021)

Encoding Involutory Invariance in Neural Networks. - Anwesh Bhattacharya; Marios Mattheakis; Pavlos Protopapas (CoRR, 2021)

Fairly Constricted Multi-objective Particle Swarm Optimization. - Anwesh Bhattacharya; Snehanshu Saha; Nithin Nagaraj (ICONIP (4), 2022)

Encoding Involutory Invariances in Neural Networks. - Anwesh Bhattacharya; Marios Mattheakis; Pavlos Protopapas (IJCNN, 2022)

Efficient ML Models for Practical Secure Inference. - Vinod Ganesan; Anwesh Bhattacharya; Pratyush Kumar; Divya Gupta 001; Rahul Sharma 001; Nishanth Chandran (CoRR, 2022)

SecFloat: Accurate Floating-Point meets Secure 2-Party Computation. - Deevashwer Rathee; Anwesh Bhattacharya; Rahul Sharma 001; Divya Gupta 001; Nishanth Chandran; Aseem Rastogi (IACR Cryptol. ePrint Arch., 2022)

AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. - Rohan Mohapatra; Snehanshu Saha; Carlos A. Coello Coello; Anwesh Bhattacharya; Soma S. Dhavala; Sriparna Saha 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Secure Floating-Point Training. - Deevashwer Rathee; Anwesh Bhattacharya; Divya Gupta 001; Rahul Sharma 001; Dawn Song (IACR Cryptol. ePrint Arch., 2023)

Wavefront sensing in the longwave infrared using thin scattering media. (Détection de front d'onde dans l'infrarouge à l'aide de diffuseurs minces). - Anwesh Bhattacharya (2023)

End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets. - Gauri Gupta; Krithika Ramesh; Anwesh Bhattacharya; Divya Gupta 001; Rahul Sharma 001; Nishanth Chandran; Rijurekha Sen (Proc. Priv. Enhancing Technol., 2023)