Kragic, Danica

40 publications

ICLR 2025 A Riemannian Framework for Learning Reduced-Order Lagrangian Dynamics Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic

TMLR 2025 Disobeying Directions: Switching Random Walk Filters for Unsupervised Node Embedding Learning on Directed Graphs Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic

TMLR 2025 Full-Rank Unsupervised Node Embeddings for Directed Graphs via Message Aggregation Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic

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

CoRL 2025 MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs Zheyu Zhuang, Ruiyu Wang, Giovanni Luca Marchetti, Florian T. Pokorny, Danica Kragic

TMLR 2025 Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks Alfredo Reichlin, Miguel Vasco, Danica Kragic

NeurIPSW 2024 Amplified Early Stopping Bias: Overestimated Performance with Deep Learning Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, 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

CoRL 2024 Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation Zheyu Zhuang, Ruiyu Wang, Nils Ingelhag, Ville Kyrki, Danica Kragic

COLT 2024 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks Giovanni Luca Marchetti, Christopher J Hillar, Danica Kragic, Sophia Sanborn

ECML-PKDD 2024 Hyperbolic Delaunay Geometric Alignment Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Vladislav Polianskii, Alexander Kravberg, Petra Poklukar, Anastasia Varava, Danica Kragic

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

NeurIPSW 2024 Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero

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

AISTATS 2023 An Efficient and Continuous Voronoi Density Estimator Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

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

ECML-PKDD 2023 Equivariant Representation Learning in the Presence of Stabilizers Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

AISTATS 2023 Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic

ECML-PKDD 2023 Learning Geometric Representations of Objects via Interaction Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic

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

ICML 2022 Active Nearest Neighbor Regression Through Delaunay Refinement Alexander Kravberg, Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

NeurIPSW 2022 Equivariant Representations for Non-Free Group Actions Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

ICML 2022 Geometric Multimodal Contrastive Representation Learning Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic

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

UAI 2022 Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence Vladislav Polianskii, Giovanni Luca Marchetti, Alexander Kravberg, Anastasiia Varava, Florian T. Pokorny, Danica Kragic

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

ICML 2021 GeomCA: Geometric Evaluation of Data Representations Petra Poklukar, Anastasiia Varava, Danica Kragic

L4DC 2021 Sequential Topological Representations for Predictive Models of Deformable Objects Rika Antonova, Anastasia Varava, Peiyang Shi, J. Frederico Carvalho, Danica Kragic

NeurIPSW 2020 Witness Autoencoder: Shaping the Latent Space with Witness Complexes Simon Till Schönenberger, Anastasiia Varava, Vladislav Polianskii, Jen Jen Chung, Danica Kragic, Roland Siegwart

CoRL 2019 Bayesian Optimization in Variational Latent Spaces with Dynamic Compression Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic

CVPRW 2019 Modeling Assumptions and Evaluation Schemes: On the Assessment of Deep Latent Variable Models Judith Bütepage, Petra Poklukar, Danica Kragic

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

CoRL 2018 Global Search with Bernoulli Alternation Kernel for Task-Oriented Grasping Informed by Simulation Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic

IJCAI 2018 Interactive, Collaborative Robots: Challenges and Opportunities Danica Kragic, Joakim Gustafson, Hakan Karaoguz, Patric Jensfelt, Robert Krug

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

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