Nazanin Mohammadi Sepahvand

12 papers A* 2Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detoxifying LLMs via Representation Erasure-Based Preference Optimization. CoRR Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, Daniel M. Roy, Gintare Karolina Dziugaite
2025	A*	`conf`	Leveraging Per-Instance Privacy for Machine Unlearning. ICML Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot, Eleni Triantafillou, Daniel M. Roy, Gintare Karolina Dziugaite
2025	J	`jnl`	Leveraging Per-Instance Privacy for Machine Unlearning. CoRR Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot, Eleni Triantafillou, Daniel M. Roy, Gintare Karolina Dziugaite
2025	A*	`conf`	Selective Unlearning via Representation Erasure Using Domain Adversarial Training. ICLR Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, James J. Clark, Daniel M. Roy, Gintare Karolina Dziugaite
2024	J	`jnl`	Data Selection for Transfer Unlearning. CoRR Nazanin Mohammadi Sepahvand, Vincent Dumoulin, Eleni Triantafillou, Gintare Karolina Dziugaite
2022	J	`jnl`	BD-KD: Balancing the Divergences for Online Knowledge Distillation. CoRR Ibtihel Amara, Nazanin Mohammadi Sepahvand, Brett H. Meyer, Warren J. Gross, James J. Clark
2021	—	`conf`	Accounting for Variance in Machine Learning Benchmarks. MLSys Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	—	`conf`	HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. MIDL Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
2021	J	`jnl`	HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. CoRR Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
2020	—	`conf`	CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images. ISBI Nazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel
2019	—	`conf`	Improving Pathological Structure Segmentation via Transfer Learning Across Diseases. DART/MIL3ID@MICCAI Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold, Tal Arbel
2018	—	`conf`	CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels. BrainLes@MICCAI (1) Nazanin Mohammadi Sepahvand, Tal Hassner, Douglas L. Arnold, Tal Arbel