Azizpour, Hossein

32 publications

ICML 2025 Energy-Based Flow Matching for Generating 3D Molecular Structure Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga, Matteo Tadiello, Arne Elofsson, Hossein Azizpour

WACV 2025 Inverse Problems with Diffusion Models: A MAP Estimation Perspective Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour

ICCV 2025 On the Complexity-Faithfulness Trade-Off of Gradient-Based Explanations Amir Mehrpanah, Matteo Gamba, Kevin Smith, Hossein Azizpour

ICLR 2025 SFESS: Score Function Estimators for $k$-Subset Sampling Klas Wijk, Ricardo Vinuesa, Hossein Azizpour

ICMLW 2024 Incorporating Stability into Flow Matching Christopher Iliffe Sprague, Arne Elofsson, Hossein Azizpour

ICML 2024 Indirectly Parameterized Concrete Autoencoders Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa Motilva, Hossein Azizpour

ECCVW 2024 Medical Image Segmentation with SAM-Generated Annotations Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala

ECCV 2024 On Spectral Properties of Gradient-Based Explanation Methods Amir Mehrpanah, Erik Englesson, Hossein Azizpour

CHIL 2024 Regularizing and Interpreting Vision Transformer by Patch Selection on Echocardiography Data Alfred Nilsson, Hossein Azizpour

ICMLW 2024 Revisiting Score Function Estimators for $k$-Subset Sampling Klas Wijk, Ricardo Vinuesa Motilva, Hossein Azizpour

ICLR 2024 Robust Classification via Regression for Learning with Noisy Labels Erik Englesson, Hossein Azizpour

TMLR 2023 Deep Double Descent via Smooth Interpolation Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour

ICLRW 2023 Discovering Drag Reduction Strategies in Wall-Bounded Turbulent Flows Using Deep Reinforcement Learning Luca Guastoni, Jean Rabault, Philipp Schlatter, Ricardo Vinuesa, Hossein Azizpour

TMLR 2023 Logistic-Normal Likelihoods for Heteroscedastic Label Noise Erik Englesson, Amir Mehrpanah, Hossein Azizpour

NeurIPSW 2023 On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning Matteo Gamba, Arna Ghosh, Kumar Krishna Agrawal, Blake Aaron Richards, Hossein Azizpour, Mårten Björkman

NeurIPSW 2023 On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning Matteo Gamba, Arna Ghosh, Kumar Krishna Agrawal, Blake Aaron Richards, Hossein Azizpour, Mårten Björkman

WACV 2023 PatchDropout: Economizing Vision Transformers Using Patch Dropout Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith

ICCV 2023 To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi

AISTATS 2022 Are All Linear Regions Created Equal? Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Marten Bjorkman

ECML-PKDD 2022 Learnable Masked Tokens for Improved Transferability of Self-Supervised Vision Transformers Hao Hu, Federico Baldassarre, Hossein Azizpour

NeurIPSW 2022 Overparameterization Implicitly Regularizes Input-Space Smoothness Matteo Gamba, Hossein Azizpour, Mårten Björkman

ICLRW 2022 Towards Self-Supervised Learning of Global and Object-Centric Representations Federico Baldassarre, Hossein Azizpour

ICLRW 2021 Few-Shotlearning with Weak Supervision Ali Ghadirzadeh, Petra Poklukar, Xi Chen, Huaxiu Yao, Hossein Azizpour, Mårten Björkman, Chelsea Finn, Danica Kragic

NeurIPS 2021 Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson, Hossein Azizpour

ECCV 2020 Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour

ICCVW 2019 On the Geometry of Rectifier Convolutional Neural Networks Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman

ICML 2018 Bayesian Uncertainty Estimation for Batch Normalized Deep Networks Mattias Teye, Hossein Azizpour, Kevin Smith

ICLR 2017 The Preimage of Rectifier Network Activities Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith

CVPRW 2015 From Generic to Specific Deep Representations for Visual Recognition Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson

CVPRW 2014 CNN Features Off-the-Shelf: An Astounding Baseline for Recognition Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson

ECCV 2012 Mixture Component Identification and Learning for Visual Recognition Omid Aghazadeh, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson

ECCV 2012 Object Detection Using Strongly-Supervised Deformable Part Models Hossein Azizpour, Ivan Laptev