Alfredo Reichlin

Joined

May 2022

Names

Alfredo Reichlin (Preferred)

Emails

****@kth.se (Confirmed)

Personal Links

Career & Education History

PhD student

KTH Royal Institute of Technology (kth.se)

2021 – 2025

Advisors, Relations & Conflicts

PhD Advisor

2021 – 2025

Expertise

deep learning

,

representation learning

,

meta learning

2021 – 2025

Publications

Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RL
Alfredo Reichlin, Adriano Pacciarelli, Danica Kragic, Miguel Vasco
- ICLR 2026 Poster
- Readers: Everyone
Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks
Alfredo Reichlin, Miguel Vasco, Danica Kragic
- Accepted by TMLR
- Readers: Everyone
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks
Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
- Accepted by TMLR
- Readers: Everyone
Model-based reinforcement learning for protein backbone design
Frederic Renard, Cyprien Courtot, Alfredo Reichlin, Oliver Bent
- GEM Poster
- Readers: Everyone
Variance-Reduced Meta-Learning via Laplace Approximation
Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic
- Submitted to ICLR 2024
- Readers: Everyone
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
- Published: 15 May 2023, Last Modified: 15 May 2023
- Embracing Contacts 2023 Poster
- Readers: Everyone
Gradient-Based Transfer Learning
Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Hedvig Kjellstrom, Mårten Björkman, Danica Kragic
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Learning Geometric Representations of Interactive Objects
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasia Varava, Danica Kragic
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
On the Subspace Structure of Gradient-Based Meta-Learning
Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic Jensfelt
- 26 May 2022 (modified: 05 May 2023)
- ICML 2022 Pre-training Workshop
- Readers: Everyone
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
- Published: 01 Jan 2022, Last Modified: 01 May 2023
- CoRR 2022
- Readers: Everyone

View all 13 publications

Co-Authors