Sabyasachi Sahoo

According to our database, Sabyasachi Sahoo authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reliability-Gated Source Anchoring for Continual Test-Time Adaptation.

Vikash Singh, Debargha Ganguly, Weicong Chen, Sabyasachi Sahoo, Sreehari Sankar, Biyao Zhang, Mohsen Hariri, Shouren Wang, Osama Zafar, Christian Gagné, Vipin Chaudhary

CoRR, May, 2026

2025

Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling.

Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frédéric Precioso, Christian Gagné

CoRR, September, 2025

GROOD: GRadient-Aware Out-of-Distribution Detection.

Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull

Trans. Mach. Learn. Res., 2025

A Layer Selection Approach to Test Time Adaptation.

Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Batiste Pequignot, Frédéric Precioso, Christian Gagné

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.

Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou

IEEE Trans. Knowl. Data Eng., November, 2024

Layerwise Early Stopping for Test Time Adaptation.

Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Pequignot, Frédéric Precioso, Christian Gagné

CoRR, 2024

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers.

Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds.

Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull

CoRR, 2023

Hessian Aware Low-Rank Weight Perturbation for Continual Learning.

Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou

CoRR, 2023

Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks.

Prashant Kumar, Dheeraj Vattikonda, Vedang Bhupesh Shenvi Nadkarni, Erqun Dong, Sabyasachi Sahoo

Proceedings of the 34th British Machine Vision Conference 2023, 2023

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

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021