Fingerprint

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.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Probabilistic Programs as an Action Description Language

    Brafman, R. I., Tolpin, D. & Wertheim, O., 27 Jun 2023, AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 15351-15358 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • 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 proceedingConference contributionpeer-review

    Open Access
  • Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs

    Tolpin, D. & Dobkin, T., 6 Oct 2021.

    Research output: Working paper/PreprintPreprint

    Open Access
  • Open Access
    26 Downloads (Pure)
  • Probabilistic Programs with Stochastic Conditioning

    Tolpin, D., Zhou, Y., Rainforth, T. & Yang, H., 1 Jan 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 10312-10323 12 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 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 proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
  • Bayesian Policy Search for Stochastic Domains

    Tolpin, D., Zhou, Y. & Yang, H., 1 Oct 2020.

    Research output: Working paper/PreprintPreprint

    Open Access
  • Stochastically Differentiable Probabilistic Programs

    Tolpin, D., Zhou, Y. & Yang, H., 5 May 2020.

    Research output: Working paper/PreprintPreprint

    Open Access
  • Stochastic Probabilistic Programs

    Tolpin, D. & Dobkin, T., 2020.

    Research output: Working paper/PreprintPreprint

    Open Access
  • ADVANCED COMPUTER SYSTEM DRIFT DETECTION

    Lahav, O. M. (Inventor), Johnson, R. C. (Inventor) & Tolpin, D. (Inventor), 28 Mar 2019, IPC No. G06F 11/ 34 A I, Patent No. US2019095263, Priority date 28 Sep 2017, Priority No. US201715719279

    Research output: Patent