Research output per year
Research output per year
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Dive into the research topics where David Tolpin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Monitoring Time Series with Missing Values: A Deep Probabilistic Approach
Barazani, O. & Tolpin, D., 1 Jan 2022, Cyber Security, Cryptology, and Machine Learning - 6th International Symposium, CSCML 2022, Proceedings. Dolev, S., Meisels, A. & Katz, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 19-28 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13301 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs
Tolpin, D. & Dobkin, T., 2021.Research output: Working paper/Preprint › Preprint
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File26 Downloads (Pure)
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Warped Input Gaussian Processes for Time Series Forecasting
Vinokur, I. & Tolpin, D., 1 Jan 2021, Cyber Security Cryptography and Machine Learning - 5th International Symposium, CSCML 2021, Proceedings. Dolev, S., Margalit, O., Pinkas, B. & Schwarzmann, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 205-220 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12716 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Bayesian Policy Search for Stochastic Domains
Tolpin, D., Zhou, Y. & Yang, H., 2020.Research output: Working paper/Preprint › Preprint
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Probabilistic Programs with Stochastic Conditioning
Tolpin, D., Zhou, Y. & Yang, H., 2020.Research output: Working paper/Preprint › Preprint
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Stochastically Differentiable Probabilistic Programs
Tolpin, D., Zhou, Y. & Yang, H., 2020.Research output: Working paper/Preprint › Preprint
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Stochastic Probabilistic Programs
Tolpin, D. & Dobkin, T., 2020.Research output: Working paper/Preprint › Preprint
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ADVANCED COMPUTER SYSTEM DRIFT DETECTION
Lahav, O. M., Johnson, R. C. & Tolpin, D., 28 Mar 2019, IPC No. G06F 11/ 34 A I, Patent No. US2019095263, Priority date 28 Sep 2017, Priority No. US201715719279Research output: Patent
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Deployable probabilistic programming
Tolpin, D., 23 Oct 2019, Onward! 2019 - Proceedings of the 2019 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, co-located with SPLASH 2019. Masuhara, H. & Petricek, T. (eds.). Association for Computing Machinery, Inc, p. 1-16 16 p. (Onward! 2019 - Proceedings of the 2019 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, co-located with SPLASH 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations
Thesis
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Rational Metareasoning in Problem-Solving Search
Author: Tolpin, D., 2014Supervisor: Shimony, E. S. (Supervisor)
Student thesis: Doctoral Thesis
Press / Media
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Israel : BGU and ASU Consortium Awarded Prestigious Energy Cyber Center Grant
Dan Blumberg, Rami Puzis, Nir Nissim, Bracha Leah Shapira, Lior Rokach, Yisroel Mirsky, Yuval Elovici & David Tolpin
18/05/21
1 item of Media coverage
Press/Media