Alfredo Reichlin

17 papers A* 2A 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RL. CoRR Alfredo Reichlin, Adriano Pacciarelli, Danica Kragic, Miguel Vasco
2025	J	`jnl`	Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks. CoRR Alfredo Reichlin, Miguel Vasco, Danica Kragic
2025	J	`jnl`	Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks. Trans. Mach. Learn. Res. Alfredo Reichlin, Miguel Vasco, Danica Kragic
2024	J	`jnl`	Goal-Conditioned Offline Reinforcement Learning via Metric Learning. CoRR Alfredo Reichlin, Miguel Vasco, Hang Yin, Danica Kragic
2024	J	`jnl`	Model-based reinforcement learning for protein backbone design. CoRR Frederic Renard, Cyprien Courtot, Alfredo Reichlin, Oliver Bent
2024	J	`jnl`	Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. CoRR Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
2024	J	`jnl`	Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. Trans. Mach. Learn. Res. Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
2023	A*	`conf`	EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics. ICRA Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
2023	A*	`conf`	Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles. ICRA Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
2023	—	`conf`	Learning Geometric Representations of Objects via Interaction. ECML/PKDD (4) Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
2023	J	`jnl`	Learning Geometric Representations of Objects via Interaction. CoRR Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
2023	—	`conf`	Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface. HCI (9) Nona Rajabi, Charles Chernik, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
2022	A	`conf`	Back to the Manifold: Recovering from Out-of-Distribution States. IROS Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
2022	J	`jnl`	Back to the Manifold: Recovering from Out-of-Distribution States. CoRR Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
2022	J	`jnl`	EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics. CoRR Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
2022	J	`jnl`	Elastic Context: Encoding Elasticity for Data-driven Models of Textiles. CoRR Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
2022	J	`jnl`	On the Subspace Structure of Gradient-Based Meta-Learning. CoRR Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic