Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder. - Prashant Kumar; Sabyasachi Sahoo; Vanshil Shah; Vineetha Kondameedi; Abhinav Jain; Akshaj Verma; Chiranjib Bhattacharyya; Vinay Vishwanath (AAAI, 2021)

DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. - Prashant Kumar; Sabyasachi Sahoo; Vanshil Shah; Vineetha Kondameedi; Abhinav Jain; Akshaj Verma; Chiranjib Bhattacharyya; Vinay Viswanathan (CoRR, 2021)

Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks. - Prashant Kumar; Dheeraj Vattikonda; Vedang Bhupesh Shenvi Nadkarni; Erqun Dong; Sabyasachi Sahoo (BMVC, 2023)

Hessian Aware Low-Rank Weight Perturbation for Continual Learning. - Jiaqi Li 005; Rui Wang 121; Yuanhao Lai; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (CoRR, 2023)

GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. - Mostafa ElAraby; Sabyasachi Sahoo; Yann Pequignot; Paul Novello; Liam Paull (CoRR, 2023)

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. - Jonas Ngnawé; Sabyasachi Sahoo; Yann Pequignot; Frédéric Precioso; Christian Gagné 001 (NeurIPS, 2024)

Layerwise Early Stopping for Test Time Adaptation. - Sabyasachi Sahoo; Mostafa ElAraby; Jonas Ngnawé; Yann Pequignot; Frédéric Precioso; Christian Gagné 001 (CoRR, 2024)

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. - Jiaqi Li 005; Yuanhao Lai; Rui Wang 121; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (IEEE Trans. Knowl. Data Eng., 2024)

A Layer Selection Approach to Test Time Adaptation. - Sabyasachi Sahoo; Mostafa ElAraby; Jonas Ngnawé; Yann Batiste Pequignot; Frédéric Precioso; Christian Gagné 001 (AAAI, 2025)