Alfredo Reichlin

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Previously Unseen

Mahalanobis Metric

Reinforcement Learning

Deformable Objects

Top Venues

Publications

Alfredo Reichlin, Miguel Vasco, Hang Yin, Danica Kragic
Goal-Conditioned Offline Reinforcement Learning via Metric Learning. CoRR (2024)
Frederic Renard, Cyprien Courtot, Alfredo Reichlin, Oliver Bent
Model-based reinforcement learning for protein backbone design. CoRR (2024)
Nona Rajabi, Charles Chernik, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface. HCI (9) (2023)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
Learning Geometric Representations of Objects via Interaction. CoRR (2023)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
Learning Geometric Representations of Objects via Interaction. ECML/PKDD (4) (2023)
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles. ICRA (2023)
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics. ICRA (2023)
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics. CoRR (2022)
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles. CoRR (2022)
Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic
On the Subspace Structure of Gradient-Based Meta-Learning. CoRR (2022)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
Back to the Manifold: Recovering from Out-of-Distribution States. IROS (2022)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Ali Ghadirzadeh, Danica Kragic
Back to the Manifold: Recovering from Out-of-Distribution States. CoRR (2022)