Mohammad Havaei

59 papers A* 6B 1Journal 42Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models. CoRR Ruta Binkyte, Ivaxi Sheth, Zhijing Jin, Mohammad Havaei, Bernhard Schölkopf, Mario Fritz
2025	J	`jnl`	EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. CoRR Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine A. Heller, Mohammad Havaei, Negar Rostamzadeh
2025	J	`jnl`	PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion. CoRR Amar Kumar, Anita Kriz, Mohammad Havaei, Tal Arbel
2025	J	`jnl`	Source-free domain adaptation requires penalized diversity. Mach. Learn. Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
2025	A*	`conf`	What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. ICLR Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A. Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2024	—	`conf`	DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. MIDL Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
2024	J	`jnl`	DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. CoRR Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
2024	A*	`conf`	Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. ICML Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
2024	J	`jnl`	Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
2024	J	`jnl`	Understanding the Local Geometry of Generative Model Manifolds. CoRR Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2023	J	`jnl`	Source-free Domain Adaptation Requires Penalized Diversity. CoRR Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
2022	J	`jnl`	A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. IEEE Trans. Neural Networks Learn. Syst. Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
2022	—	`conf`	AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. ECCV (23) Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei
2022	J	`jnl`	FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
2022	J	`jnl`	FL Games: A Federated Learning Framework for Distribution Shifts. CoRR Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
2022	J	`jnl`	FL Games: A federated learning framework for distribution shifts. CoRR Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
2022	J	`jnl`	Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. CoRR Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei
2022	J	`jnl`	Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou
2022	A*	`conf`	Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. CVPR Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou
2022	J	`jnl`	Stain transfer using Generative Adversarial Networks and disentangled features. Comput. Biol. Medicine Atefeh Ziaei, Hamed Azarnoush, Seyyed Ali Seyyedsalehi, Mohammad Havaei
2021	—	`conf`	CT-SGAN: Computed Tomography Synthesis GAN. DGM4MICCAI/DALI@MICCAI Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei
2021	J	`jnl`	CT-SGAN: Computed Tomography Synthesis GAN. CoRR Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei
2021	—	`conf`	Conditional Generation of Medical Images via Disentangled Adversarial Inference. DGM4MICCAI/DALI@MICCAI Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
2021	J	`jnl`	Conditional generation of medical images via disentangled adversarial inference. Medical Image Anal. Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
2021	J	`jnl`	FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
2021	A*	`conf`	Hypothesis Disparity Regularized Mutual Information Maximization. AAAI Qicheng Lao, Xiang Jiang, Mohammad Havaei
2020	J	`jnl`	CAGNet: Content-Aware Guidance for Salient Object Detection. Pattern Recognit. Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei
2020	J	`jnl`	Conditional Generation of Medical Images via Disentangled Adversarial Inference. CoRR Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
2020	J	`jnl`	Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
2020	J	`jnl`	DFNet: Discriminative feature extraction and integration network for salient object detection. CoRR Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei
2020	J	`jnl`	DFNet: Discriminative feature extraction and integration network for salient object detection. Eng. Appl. Artif. Intell. Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei
2020	J	`jnl`	FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
2020	J	`jnl`	Hypothesis Disparity Regularized Mutual Information Maximization. CoRR Qicheng Lao, Xiang Jiang, Mohammad Havaei
2020	A*	`conf`	Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2020	J	`jnl`	Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2020	J	`jnl`	Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis
2019	J	`jnl`	CAGNet: Content-Aware Guidance for Salient Object Detection. CoRR Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei
2019	A*	`conf`	Dual Adversarial Inference for Text-to-Image Synthesis. ICCV Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
2019	J	`jnl`	Dual Adversarial Inference for Text-to-Image Synthesis. CoRR Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
2019	—	`conf`	InfoMask: Masked Variational Latent Representation to Localize Chest Disease. MICCAI (6) Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
2019	J	`jnl`	InfoMask: Masked Variational Latent Representation to Localize Chest Disease. CoRR Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
2019	—	`conf`	Learning to Learn with Conditional Class Dependencies. ICLR (Poster) Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
2019	—	`conf`	Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin
2018	J	`jnl`	On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. CoRR Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
2017	J	`jnl`	Brain tumor segmentation with Deep Neural Networks. Medical Image Anal. Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle
2017	J	`jnl`	ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.
2017	J	`jnl`	Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville
2016	—	`ch.`	Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. Machine Learning for Health Informatics Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin
2016	J	`jnl`	Deep learning trends for focal brain pathology segmentation in MRI. CoRR Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin
2016	—	`conf`	HeMIS: Hetero-Modal Image Segmentation. MICCAI (2) Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
2016	J	`jnl`	HeMIS: Hetero-Modal Image Segmentation. CoRR Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
2016	J	`jnl`	Within-brain classification for brain tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin
2015	—	`conf`	A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin
2015	J	`jnl`	Brain Tumor Segmentation with Deep Neural Networks. CoRR Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle
2015	J	`jnl`	Within-Brain Classification for Brain Tumor Segmentation. CoRR Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin
2014	B	`conf`	Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. ICPR Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle
2013	J	`jnl`	A novel plane extraction approach using supervised learning. Mach. Vis. Appl. J. Rafid Siddiqui, Mohammad Havaei, Siamak Khatibi, Craig A. Lindley
2012	J	`jnl`	Blind Channel Equalization CoRR Sanaz Moshirian, Soheil Ghadami, Mohammad Havaei
2012	J	`jnl`	Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer CoRR Mohammad Havaei, Nandivada Krishna Prasad, Velleshala Sudheer