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Benjamin Fuhrer
Benjamin Fuhrer
Verified email at nvidia.com
Title
Cited by
Cited by
Year
Activity-dependent spinal cord neuromodulation rapidly restores trunk and leg motor functions after complete paralysis
A Rowald, S Komi, R Demesmaeker, E Baaklini, SD Hernandez-Charpak, ...
Nature medicine 28 (2), 260-271, 2022
3122022
Reinforcement learning for datacenter congestion control
C Tessler, Y Shpigelman, G Dalal, A Mandelbaum, D Haritan Kazakov, ...
ACM SIGMETRICS Performance Evaluation Review 49 (2), 43-46, 2022
362022
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
B Fuhrer, Y Shpigelman, C Tessler, S Mannor, G Chechik, E Zahavi, ...
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023
32023
Vector activation function to support machine learning inference and other processes
I Pardo, B Fuhrer, N Korem, G Yefet, T Bar-On
US Patent App. 17/500,598, 2023
12023
Matrix and vector manipulation to support machine learning inference and other processes
I Pardo, B Fuhrer, G Ryvchin, G Yefet
US Patent App. 17/499,580, 2023
12023
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
12022
Gradient Boosting Reinforcement Learning
B Fuhrer, C Tessler, G Dalal
arXiv preprint arXiv:2407.08250, 2024
2024
Machine learning techniques for implementing tree-based network congestion control
G Chechik, G Dalal, B Fuhrer, DH KAZAKOV, S Mannor, Y Shpigelman, ...
US Patent App. 18/298,949, 2024
2024
Efficient Piecewise Polynomial Approximators
T Bar-On, ND Korem, G Yefet, B Fuhrer
US Patent App. 17/577,059, 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
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