Michele Caprio

Orcid: 0000-0002-7569-097X

Affiliations:
  • University of Manchester, UK
  • University of Pennsylvania, PA, USA (former)


According to our database1, Michele Caprio authored at least 23 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
The Joys of Categorical Conformal Prediction.
CoRR, July, 2025

Epistemic Errors of Imperfect Multitask Learners When Distributions Shift.
CoRR, May, 2025

Integral Imprecise Probability Metrics.
CoRR, May, 2025

TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion.
CoRR, March, 2025

Conformalized Credal Regions for Classification with Ambiguous Ground Truth.
Trans. Mach. Learn. Res., 2025

Conformal prediction regions are imprecise highest density regions.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2025

Optimal transport for ε-contaminated credal sets.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2025

Distributionally Robust Statistical Verification with Imprecise Neural Networks.
Proceedings of the 28th ACM International Conference on Hybrid Systems: Computation and Control, 2025

2024
Credal Bayesian Deep Learning.
Trans. Mach. Learn. Res., 2024

Credal Learning Theory.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DC4L: Distribution shift recovery via data-driven control for deep learning models.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Second-Order Uncertainty Quantification: A Distance-Based Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Novel Bayes' Theorem for Upper Probabilities.
Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

2023
Ergodic theorems for dynamic imprecise probability kinematics.
Int. J. Approx. Reason., 2023

Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning.
CoRR, 2023

Using Semantic Information for Defining and Detecting OOD Inputs.
CoRR, 2023

Take Me Home: Reversing Distribution Shifts using Reinforcement Learning.
CoRR, 2023

Imprecise Bayesian Neural Networks.
CoRR, 2023

Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks.
IEEE Access, 2023

Is the volume of a credal set a good measure for epistemic uncertainty?
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Constriction for sets of probabilities.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Dynamic precise and imprecise probability kinematics.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

2022
Refined Pinsker's and Reverse Pinsker's Inequalities for Probability Distributions of Different Dimensions.
IEEE Access, 2022


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