Publications

41 results for Mattia Rigotti

Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
Adaptive Conformal Regression with Split-Jackknife+ Scores
- - Nicolas Deutschmann
  - Mattia Rigotti
  - et al.
- 2024
- TMLR
MC Layer Normalization for calibrated uncertainty in Deep Learning
- - Thomas Frick
  - Diego Antognini
  - et al.
- 2024
- TMLR
Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs
- - Brian Belgodere
  - Pierre Dognin
  - et al.
- 2024
- IEEE JESTCS
Risk Assessment and Statistical Significance in the Age of Foundation Models
- - Apoorva Nitsure
  - Youssef Mroueh
  - et al.
- 2023
- NeurIPS 2023
Towards Workﬂows for the Use of AI Foundation Models in Visual Inspection Applications
- - Mattia Rigotti
  - Diego Antognini
  - et al.
- 2023
- EUROSTRUCT 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
- - Adam Ivankay
  - Mattia Rigotti
  - et al.
- 2023
- ACL 2023
The implications of categorical and category-free mixed selectivity on representational geometries
- - Matthew T. Kaufman
  - Marcus K. Benna
  - et al.
- 2022
- Current Opinion in Neurobiology
Compositional generalization through abstract representations in human and artificial neural networks
- - Takuya Ito
  - Tim Klinger
  - et al.
- 2022
- NeurIPS 2022
Active Learning for Imbalanced Civil Infrastructure Data
- - Thomas Frick
  - Diego Antognini
  - et al.
- 2022
- ECCV 2022