Nadav Cohen
Orcid: 0000-0002-8249-0239
According to our database1,
Nadav Cohen
authored at least 53 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
IEEE Trans. Instrum. Meas., 2025
2024
CoRR, 2024
CoRR, 2024
The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels.
CoRR, 2024
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning.
CoRR, 2024
CoRR, 2024
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
SIAM J. Appl. Dyn. Syst., December, 2023
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
BeamsNet: A data-driven approach enhancing Doppler velocity log measurements for autonomous underwater vehicle navigation.
Eng. Appl. Artif. Intell., 2022
Set-Transformer BeamsNet for AUV Velocity Forecasting in Complete DVL Outage Scenarios.
CoRR, 2022
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network.
CoRR, 2022
LiBeamsNet: AUV Velocity Vector Estimation in Situations of Limited DVL Beam Measurements.
CoRR, 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Deep neural network classification in the compressively sensed spectral image domain.
J. Electronic Imaging, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Simultaneous Turbulence Mitigation and Mode Demultiplexing using one MPLC in a Two-Mode 200-Gbit/s Free-Space OAM-Multiplexed Link.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Simultaneous Orthogonalizing and Shaping of Multiple LG Beams to Mitigate Crosstalk and Power Loss by Transmitting Each of Four Data Channels on Multiple Modes in a 400-Gbit/s Free-Space Link.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Fundamental System-Degrading Effects in THz Communications Using Multiple OAM beams With Turbulence.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Multipath and Receiver Aperture Effects in a THz Wireless Communications Link using OAM Multiplexing.
Proceedings of the IEEE Globecom Workshops, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Experimental Utilization of Repeated Spatial-Mode Shifting for Achieving Discrete Delays in a Free-Space Recirculating Loop.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018
Coarse and Fine Continuously Tunable Optical Delay Using the Time-of-flight in Fiber Bragg Gratings and Wavelength Conversion.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions (כותר נוסף בעברית: ניתוח ותכנון רשתות קונבולוציה על ידי פירוקי טנזורים היררכיים).
PhD thesis, 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions.
CoRR, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
Controlled acoustic levitation - physical model and real-time digital implementation.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016
2015
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015
2014
2012
IEEE Trans. Circuits Syst. I Regul. Pap., 2012