| Distance-based confidence score for neural network classifiers A Mandelbaum, D Weinshall arXiv preprint arXiv:1709.09844, 2017 | 139 | 2017 |
| Word embeddings and their use in sentence classification tasks A Mandelbaum, A Shalev IntelliSys 2017, 2017 | 114 | 2017 |
| Reinforcement Learning for Datacenter Congestion Control C Tessler, Y Shpigelman, G Dalal, A Mandelbaum, DH Kazakov, B Fuhrer, ... The Thirty-Fourth Annual Conference on Innovative Applications of Artificial …, 2021 | 36 | 2021 |
| Every untrue label is untrue in its own way: Controlling error type with the log bilinear loss YS Resheff, A Mandelbaum, D Weinshall arXiv preprint arXiv:1704.06062, 2017 | 9 | 2017 |
| Controlling imbalanced error in deep learning with the log bilinear loss YS Resheff, A Mandelbom, D Weinshall First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 6 | 2017 |
| Distance-based confidence score for neural network classifiers (2017) A Mandelbaum, D Weinshall arXiv preprint arXiv:1709.09844, 2017 | 4 | 2017 |
| Timestamp confidence level DD Levi, W Wasko, N Manevich, R Moyal, E Peretz, EB Elisha, A Almog, ... US Patent 11,641,245, 2023 | 3 | 2023 |
| Word Embeddings and their use in sentence classification tasks M Amit, S Adi arXiv preprint arXiv:1610.082229, 2016 | 3 | 2016 |
| Accurate timestamp correction DD Levi, W Wasko, N Manevich, T Geula, A Mandelbaum, A Almog US Patent 11,757,614, 2023 | 2 | 2023 |
| The Second Workshop on Applied Machine Learning Management D Goldenberg, C Ross, S Meir Lador, LL Cheong, P Xu, E Sokolova, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Real time performance tuning of network devices I Gilboa, S Aisman, S Arieli, O Vaserberger, A Mandelbaum, DH Kazakov, ... US Patent 11,546,216, 2023 | 1 | 2023 |
| Performing network congestion control utilizing reinforcement learning S Mannor, C Tessler, Y Shpigelman, A Mandelbaum, G Dalal, D Kazakov, ... US Patent App. 17/341,210, 2022 | 1 | 2022 |
| Real time performance tuning of network devices I Gilboa, S Aisman, S Arieli, O Vaserberger, A Mandelbaum, DH Kazakov, ... US Patent 11,968,089, 2024 | | 2024 |
| System and method of determining existence of a network attack O Zohar, D Finkelshtein, A Almog, N Getter, A Mandelbaum US Patent App. 17/682,209, 2023 | | 2023 |
| Dynamic input-output pacer with artificial intelligence G Mataev, S Shuler, A Mandelbaum, S Rasal, O Duer, BASE Fuhrer, ... US Patent App. 17/713,251, 2023 | | 2023 |
| Digital simulator of data communication apparatus G Mataev, A Mandelbaum, BASE Fuhrer US Patent App. 17/713,253, 2023 | | 2023 |
| Performing network congestion control utilizing reinforcement learning S Mannor, C Tessler, Y Shpigelman, A Mandelbaum, G Dalal, D Kazakov, ... US Patent App. 17/959,042, 2023 | | 2023 |
| Workshop on Applied Machine Learning Management D Goldenberg, E Sokolova, S Meir Lador, A Mandelbaum, I Vasilinetc, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | | 2022 |
| Artificial Accurate Time-stamp in Network Adapters W Wasko, DD Levi, T Geula, A Mandelbaum 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | | 2021 |
| Continuously running genetic algorithm for real-time networking device optimization A Mandelbaum, D Haritan, N Shechtman Proceedings of the Genetic and Evolutionary Computation Conference, 1000-1008, 2021 | | 2021 |
Chen TesslerResearch Scientist, NVIDIA ResearchVerified email at nvidia.com
