Sokolsky, Oleg

4 publications

NeurIPS 2024 AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji, Anton Xue, Eric Wong, Oleg Sokolsky, Insup Lee

TMLR 2024 Credal Bayesian Deep Learning Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee

L4DC 2024 DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee

AAAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee