Sotabase

Career

· Software Developer (Assembly language programmer), Facebook2025–
· Researcher/Author, Academia.edu2024–
· Presenter/Author, ICML 20242024–
· Presenter/Author, NeurIPS 20242024–
· Lecturer (Assistant Professor) in Machine Learning and Artificial Intelligence, The University of Manchester2024–
· Repository Contributor, Github
· Researcher/Author, Google Scholar
· Lecturer (Asst. Prof.), The University of Manchester

Publications (23)

Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?
Conference on Uncertainty in Artificial Intelligence · 2023
36
cited
Credal Bayesian Deep Learning
Trans. Mach. Learn. Res. · 2023
35
cited
A Novel Bayes' Theorem for Upper Probabilities
Epi UAI · 2023
16
cited
Distributionally Robust Statistical Verification with Imprecise Neural Networks
International Conference on Hybrid Systems: Computation and Control · 2023
16
cited
Constriction for sets of probabilities
International Symposium on Imprecise Probabilities and Their Applications · 2023
13
cited
Ergodic theorems for dynamic imprecise probability kinematics
International Journal of Approximate Reasoning · 2020
13
cited
Dynamic precise and imprecise probability kinematics
International Symposium on Imprecise Probabilities and Their Applications · 2021
11
cited
Using Semantic Information for Defining and Detecting OOD Inputs
arXiv.org · 2023
10
cited
DC4L: Distribution shift recovery via data-driven control for deep learning models
Conference on Learning for Dynamics & Control · 2023
8
cited
Extended probabilities and their application to statistical inference
2021
4
cited
Turnpike in infinite dimension
Canadian mathematical bulletin · 2020
4
cited
Concerning three classes of non-Diophantine arithmetics
Involve. A Journal of Mathematics · 2021
2
cited
Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks
IEEE Access · 2022
1
cited
Concerning Two Classes of Non-Diophantine Arithmetics
IS4SI 2021 · 2022
1
cited
Finite admixture models: a bridge with stochastic geometry and Choquet theory
Statistics (Berlin) · 2020
1
cited
Ergodic theorems for imprecise probability kinematics
2020
Ergodic theorems for lower probability kinematics.
2020
FINITE MIXTURE MODELS: A BRIDGE WITH STOCHASTIC GEOMETRY AND CHOQUET THEORY
2022
On the expected number of components in a finite admixture model.
2020
On the geometric properties of finite mixture models
2020
Sotabase
Michele Caprio | Researcher Profile | Sotabase | Sotabase