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ORCIDAvraham Raviv
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2020 – today
- 2024
[i2]Avraham Raviv, Yizhak Y. Elboher, Michelle Aluf-Medina, Yael Leibovich Weiss, Omer Cohen, Roy Assa, Guy Katz, Hillel Kugler:
Formal Verification of Object Detection. CoRR abs/2407.01295 (2024)- 2023
- [c6]Avraham Raviv, Yuval Gerber, Liri Benzinou, Michelle Aluf-Medina
, Hillel Kugler:
Prediction and Control of Stochastic Agents Using Formal Methods. FoMLAS@CAV 2023: 29-34 - [c5]Michelle Aluf-Medina, Avraham Raviv, Himanshu Arora, Till Korten, Hillel Kugler:
Simulation and Verification of Network-Based Biocomputation Circuits. ISCAS 2023: 1-5 - [c4]Avraham Raviv, Eliya Bronshtein, Or Reginiano, Michelle Aluf-Medina, Hillel Kugler:
Learning Through Imitation by Using Formal Verification. SOFSEM 2023: 342-355 - 2022
- [c3]Amir Ben Dror, Niv Zehngut, Avraham Raviv, Evgeny Artyomov, Ran Vitek:
Layer Folding: Neural Network Depth Reduction using Activation Linearization. BMVC 2022: 612 - [c2]Avraham Raviv, Yonatan Dinai, Igor Drozdov, Niv Zehngut, Ishay Goldin:
D-STEP: Dynamic Spatio-Temporal Pruning. BMVC 2022: 632 - 2021
- [c1]Michelle Aluf-Medina, Till Korten, Avraham Raviv, Dan V. Nicolau Jr., Hillel Kugler:
Formal Semantics and Verification of Network-Based Biocomputation Circuits. VMCAI 2021: 464-485 - [i1]Amir Ben Dror, Niv Zehngut, Avraham Raviv, Evgeny Artyomov, Ran Vitek, Roy J. Jevnisek:
Layer Folding: Neural Network Depth Reduction using Activation Linearization. CoRR abs/2106.09309 (2021)
Coauthor Index
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