5G Routing Interfered Environment. - Barak Gahtan (CoRR, 2022)

Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh. - Barak Gahtan; Reuven Cohen; Alex M. Bronstein; Gil Kedar (CoRR, 2022)

Using Deep Reinforcement Learning for mmWave Real-Time Scheduling. - Barak Gahtan; Reuven Cohen; Alex M. Bronstein; Gil Kedar (NoF, 2023)

Data-Driven Cellular Network Selector for Vehicle Teleoperations. - Barak Gahtan; Reuven Cohen; Alex M. Bronstein; Eli Shapira (NoF, 2024)

Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. - Barak Gahtan; Robert J. Sahala; Alex M. Bronstein; Reuven Cohen (CoRR, 2024)

Automatic Identification and Visualization of Group Training Activities Using Wearable Data. - Barak Gahtan; Shany Funk; Einat Kodesh; Itay Ketko; Tsvi Kuflik; Alex M. Bronstein (CoRR, 2024)

Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning. - Barak Gahtan; Robert J. Shahla; Reuven Cohen; Alex M. Bronstein (CoRR, 2024)

Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering. - Hadas Abraham; Barak Gahtan; Adir Kobovich; Orian Leitersdorf; Alex M. Bronstein; Eitan Yaakobi (CoRR, 2024)

WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring. - Barak Gahtan; Shany Funk; Itay Ketko; Einat Kodesh; Tsvi Kuflik; Alex M. Bronstein (ICHI, 2025)

Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. - Barak Gahtan; Robert J. Shahla; Reuven Cohen; Alex M. Bronstein (MeditCom, 2025)

From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. - Barak Gahtan; Sanketh Vedula; Gil Samuelly Leichtag; Einat Kodesh; Alex M. Bronstein (CoRR, 2025)

Architecture-Aware Generalization Bounds for Temporal Networks: Theory and Fair Comparison Methodology. - Barak Gahtan; Alex M. Bronstein (CoRR, 2025)