| Is the volume of a credal set a good measure for epistemic uncertainty? Y Sale, M Caprio, E Höllermeier Uncertainty in Artificial Intelligence, 1795-1804, 2023 | 10 | 2023 |
| Dynamic precise and imprecise probability kinematics M Caprio, R Gong International Symposium on Imprecise Probability: Theories and Applications …, 2023 | 8 | 2023 |
| Imprecise Bayesian neural networks M Caprio, S Dutta, KJ Jang, V Lin, R Ivanov, O Sokolsky, I Lee arXiv preprint arXiv:2302.09656, 2023 | 8 | 2023 |
| Ergodic theorems for dynamic imprecise probability kinematics M Caprio, S Mukherjee International Journal of Approximate Reasoning 152, 325-343, 2023 | 6 | 2023 |
| Second-order uncertainty quantification: A distance-based approach Y Sale, V Bengs, M Caprio, E Hüllermeier arXiv preprint arXiv:2312.00995, 2023 | 5 | 2023 |
| Using semantic information for defining and detecting ood inputs R Kaur, X Ji, S Dutta, M Caprio, Y Yang, E Bernardis, O Sokolsky, I Lee arXiv preprint arXiv:2302.11019, 2023 | 5 | 2023 |
| Turnpike in infinite dimension P Leonetti, M Caprio Canadian Mathematical Bulletin 65 (2), 416-430, 2022 | 5 | 2022 |
| A novel bayes' theorem for upper probabilities M Caprio, Y Sale, E Hüllermeier, I Lee arXiv preprint arXiv:2307.06831, 2023 | 4 | 2023 |
| Concerning three classes of non-Diophantine arithmetics M Caprio, A Aveni, S Mukherjee Involve, a Journal of Mathematics 15 (5), 763-774, 2023 | 4* | 2023 |
| Distributionally robust statistical verification with imprecise neural networks S Dutta, M Caprio, V Lin, M Cleaveland, KJ Jang, I Ruchkin, O Sokolsky, ... arXiv preprint arXiv:2308.14815, 2023 | 3 | 2023 |
| IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning P Lu, M Caprio, E Eaton, I Lee arXiv preprint arXiv:2310.02995, 2023 | 2 | 2023 |
| Constriction for sets of probabilities M Caprio, T Seidenfeld International Symposium on Imprecise Probability: Theories and Applications …, 2023 | 2 | 2023 |
| Credal learning theory M Caprio, M Sultana, E Elia, F Cuzzolin arXiv preprint arXiv:2402.00957, 2024 | 1 | 2024 |
| Concentration inequalities and optimal number of layers for stochastic deep neural networks M Caprio, S Mukherjee IEEE Access, 2023 | 1 | 2023 |
| Extended probabilities and their application to statistical inference M Caprio, S Mukherjee Understanding Information and Its Role as a Tool: In Memory of Mark Burgin …, 2021 | 1* | 2021 |
| Take Me Home: Reversing Distribution Shifts using Reinforcement Learning V Lin, KJ Jang, S Dutta, M Caprio, O Sokolsky, I Lee arXiv preprint arXiv:2302.10341, 2023 | | 2023 |
| Refined Pinsker’s and reverse Pinsker’s inequalities for probability distributions of different dimensions M Caprio IEEE Access 10, 116425-116431, 2022 | | 2022 |
| Current Anomaly Detectors are Anomalous: On Semantic Treatment of OOD Inputs R Kaur, X Ji, S Dutta, Y Yang, M Caprio, E Bernardis, O Sokolsky, I Lee | | 2022 |
| Finite admixture models: a bridge with stochastic geometry and Choquet theory M Caprio, S Mukherjee arXiv preprint arXiv:2002.08409, 2020 | | 2020 |
Insup LeeProfessor, Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
