Sabyasachi Sahoo

13 papers A* 3A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Layer Selection Approach to Test Time Adaptation. AAAI Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Batiste Pequignot, Frédéric Precioso, Christian Gagné
2025	J	`jnl`	GROOD: GRadient-Aware Out-of-Distribution Detection. Trans. Mach. Learn. Res. Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
2025	J	`jnl`	Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling. CoRR Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frédéric Precioso, Christian Gagné
2024	A*	`conf`	Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. NeurIPS Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
2024	J	`jnl`	Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. CoRR Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
2024	J	`jnl`	Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. IEEE Trans. Knowl. Data Eng. Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2024	J	`jnl`	Layerwise Early Stopping for Test Time Adaptation. CoRR Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Pequignot, Frédéric Precioso, Christian Gagné
2023	A	`conf`	Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks. BMVC Prashant Kumar, Dheeraj Vattikonda, Vedang Bhupesh Shenvi Nadkarni, Erqun Dong, Sabyasachi Sahoo
2023	J	`jnl`	Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks. CoRR Prashant Kumar, Dheeraj Vattikonda, Vedang Bhupesh Shenvi Nadkarni, Erqun Dong, Sabyasachi Sahoo
2023	J	`jnl`	GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. CoRR Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
2023	J	`jnl`	Hessian Aware Low-Rank Weight Perturbation for Continual Learning. CoRR Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2021	J	`jnl`	DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. CoRR Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Viswanathan
2021	A*	`conf`	Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder. AAAI Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Vishwanath