Bjorkman, Marten

23 publications

ICML 2025 Human-Aligned Image Models Improve Visual Decoding from the Brain Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic

ICLRW 2024 Can Foundation Models Smell like Humans? Farzaneh Taleb, Miguel Vasco, Nona Rajabi, Mårten Björkman, Danica Kragic

NeurIPS 2024 Can Transformers Smell like Humans? Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic

CoRL 2024 Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision Alberta Longhini, Marcel Büsching, Bardienus Pieter Duisterhof, Jens Lundell, Jeffrey Ichnowski, Mårten Björkman, Danica Kragic

CVPRW 2024 FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes Marcel Büsching, Josef Bengtson, David Nilsson, Mårten Björkman

TMLR 2024 Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic

AAAI 2024 Scalable Motion Style Transfer with Constrained Diffusion Generation Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman

WACV 2023 Dance Style Transfer with Cross-Modal Transformer Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman

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

ICLR 2023 Learning Continuous Normalizing Flows for Faster Convergence to Target Distribution via Ascent Regularizations Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, 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

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

CVPRW 2023 Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki

ICLRW 2023 Towards Understanding the Modality Gap in CLIP Peiyang Shi, Michael C. Welle, Mårten Björkman, Danica Kragic

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

ICMLW 2022 On the Subspace Structure of Gradient-Based Meta-Learning Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic Jensfelt

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

JMLR 2022 Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman

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

IJCAI 2021 Monte Carlo Filtering Objectives Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman

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

CVPR 2000 A Real-Time System for Epipolar Geometry and Ego-Motion Estimation Mårten Björkman, Jan-Olof Eklundh

ICCV 1999 Real-Time Epipolar Geometry Estimation and Disparity Mårten Björkman, Jan-Olof Eklundh