From post

Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata.

, , , , и . ICALP, том 198 из LIPIcs, стр. 118:1-118:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Automatic Discovery of Privacy-Utility Pareto Fronts., , , , и . Proc. Priv. Enhancing Technol., 2020 (4): 5-23 (2020)A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\, , , , , , , , и . International Conference on Learning Representations, (2020)Differentially Private Policy Evaluation., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2130-2138. JMLR.org, (2016)Learning Weighted Automata., и . CAI, том 9270 из Lecture Notes in Computer Science, стр. 1-21. Springer, (2015)Learning time series models for pedestrian motion prediction., , и . ICRA, стр. 3323-3330. IEEE, (2016)Continual Learning in Practice., , , , и . CoRR, (2019)Differentially Private Diffusion Models Generate Useful Synthetic Images., , , , , , , , , и . CoRR, (2023)Automatic Discovery of Privacy-Utility Pareto Fronts., , , , и . CoRR, (2019)Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising., и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 403-412. PMLR, (2018)A Canonical Form for Weighted Automata and Applications to Approximate Minimization., , и . LICS, стр. 701-712. IEEE Computer Society, (2015)