Kjellström, Hedvig

31 publications

ICML 2025 Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas, Xavier Sumba, Tanmayee Narendra, Ruibo Tu, Gabriele Schweikert, Hedvig Kjellstrom, Yingzhen Li

TMLR 2025 Customizing Spider Silk: Generative Models with Mechanical Property Conditioning for Protein Engineering Neeru Dubey, Elin Karlsson, Miguel A. Redondo, Johan Reimegård, Anna Rising, Hedvig Kjellstrom

CVPR 2024 VAREN: Very Accurate and Realistic Equine Network Silvia Zuffi, Ylva Mellbin, Ci Li, Markus Hoeschle, Hedvig Kjellström, Senya Polikovsky, Elin Hernlund, Michael J. Black

TMLR 2023 Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson, Hedvig Kjellstrom, Cheng Zhang

WACV 2023 Recur, Attend or Convolve? on Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition Sofia Broomé, Ernest Pokropek, Boyu Li, Hedvig Kjellström

NeurIPSW 2023 Self-Supervised Latent Symmetry Discovery via Class-Pose Decomposition Gustaf Tegnér, Hedvig Kjellstrom

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 Aligned Multi-Task Gaussian Process Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill Campbell

WACV 2022 Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee

ICLR 2022 Optimal Transport for Causal Discovery Ruibo Tu, Kun Zhang, Hedvig Kjellstrom, Cheng Zhang

ACML 2021 Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström

WACV 2020 Action Graphs: Weakly-Supervised Action Localization with Graph Convolution Networks Maheen Rashid, Hedvig Kjellstrom, Yong Jae Lee

ICMLW 2020 Causal Discovery in the Presence of Missing Values for Neuropathic Pain Diagnosis Ruibo Tu, Kun Zhang, Bo Christer Bertilson, Clark Glymour, Hedvig Kjellström, Cheng Zhang

NeurIPS 2020 How Do Fair Decisions Fare in Long-Term Qualification? Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellstrom, Kun Zhang, Cheng Zhang

AISTATS 2020 Non-Parametric Calibration for Classification Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel)

WACV 2019 A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels Marcus Klasson, Cheng Zhang, Hedvig Kjellström

AISTATS 2019 Causal Discovery in the Presence of Missing Data Ruibo Tu, Cheng Zhang, Paul Ackermann, Karthika Mohan, Hedvig Kjellström, Kun Zhang

NeurIPS 2019 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation Ruibo Tu, Kun Zhang, Bo Bertilson, Hedvig Kjellstrom, Cheng Zhang

CVPRW 2019 Predicting the What and How - A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling Judith Bütepage, Hedvig Kjellström, Danica Kragic

MLHC 2019 Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation Charles Hamesse, Ruibo Tu, Paul Ackermann, Hedvig Kjellström, Cheng Zhang

IJCAI 2018 Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation Charles Hamesse, Hedvig Kjellström, Paul Ackermann, Cheng Zhang

UAI 2017 Balanced Mini-Batch Sampling for SGD Using Determinantal Point Processes Cheng Zhang, Hedvig Kjellström, Stephan Mandt

CVPR 2017 Deep Representation Learning for Human Motion Prediction and Classification Judith Butepage, Michael J. Black, Danica Kragic, Hedvig Kjellstrom

MLHC 2016 Diagnostic Prediction Using Discomfort Drawings with IBTM Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, Bo Bertilson

ECCV 2016 Inter-Battery Topic Representation Learning Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek

ECCVW 2014 How to Supervise Topic Models Cheng Zhang, Hedvig Kjellström

ICLR 2013 Factorized Topic Models Cheng Zhang, Carl Henrik Ek, Hedvig Kjellström

ICCVW 2013 Supervised Hierarchical Dirichlet Processes with Variational Inference Cheng Zhang, Carl Henrik Ek, Xavi Gratal, Florian T. Pokorny, Hedvig Kjellström

NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support Florian T. Pokorny, Hedvig Kjellström, Danica Kragic, Carl Ek

CVPR 2010 Tracking People Interacting with Objects Hedvig Kjellström, Danica Kragic, Michael J. Black

ECCV 2008 Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects Hedvig Kjellström, Javier Romero, David Martínez Mercado, Danica Kragic