Accepted publications: October

Shutong Jin, Ruiyu Wang, Muhammad Zahid, and Florian T. Pokorny "How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing" accepted to International Conference on Intelligent Robots and Systems (IROS) 2024

Bernardo Esteves, Miguel Vasco, and Francisco S. Melo "NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks" Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2024

Alfredo Reichlin*, Gustaf Tegnér*, Miguel Vasco, Hang Yin, Mårten Björkman, and Danica Kragic "Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks" Accepted to Transactions on Machine Learning Research (TMLR) 2024

Farzaneh Taleb, Miguel Vasco, Antonio H. Ribeiro, Mårten Björkman, and Danica Kragic "Can Transformers Smell Like Humans?" Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2024 (Spotlight)

Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, and Danica Kragic "Amplified Early Stopping Bias: Overestimated Performance with Deep Learning" Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2024 Workshop on Scientific Methods for Understanding Deep Learning

Maciej Wozniak, M Hansson, M Thiel, and Patric Jensfelt "UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps" Accepted to IEEE Robotics and Automation Letters (RA-L) 2024

Romeo Lanzino, Federico Fontana, Luigi Cinque, Francesco Scarcello, Atsuto Maki "Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis" Accepted to European Conference on Computer Vision (ECCV) 2024 Workshop, Synthetic Data for Computer Vision

Hiroki Azuma (UTokyo), Yusuke Matsui, Atsuto Maki "ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer" Accepted to European Conference on Computer Vision (ECCV) 2024 Workshop, Out-of-Distribution Generalization in Computer Vision Foundation Models