1 citations · 3 across the 11 of their papers we have counts for
12 papers
The Residual Stream's Effective Depth
Barak Gahtan, Ido Galil, Alex M. Bronstein
We introduce \emph{effective depth} ($\Deff$), a scalar diagnostic that treats the layer-wise residual stream of a transformer as a discrete-time process, measures how representati…
Invertible Query-Key Coupling Composes with Attention Mechanisms
Barak Gahtan, Alex M. Bronstein
Scaled dot-product attention forms its queries and keys as independent linear projections, so the two never interact before the dot product that scores them. We study coupled query…
Differentiable Randers-Finsler Eikonal Solvers
Barak Gahtan, Jacob Shpund, Alex M. Bronstein
Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient-based optimization over metrics, drift…
Effective Sample Size and Generalization Bounds for Temporal Networks
Barak Gahtan, Alex M. Bronstein
Learning from time series is fundamentally different from learning from i.i.d.\ data: temporal dependence can make long sequences effectively information-poor, yet standard evaluat…
From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag +2
Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a compre…
Data-Driven Cellular Network Selector for Vehicle Teleoperations
Barak Gahtan, Reuven Cohen, Alex M. Bronstein +1
Remote control of robotic systems, also known as teleoperation, is crucial for the development of autonomous vehicle (AV) technology. It allows a remote operator to view live video…
Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering
Hadas Abraham, Barak Gahtan, Adir Kobovich +3
The emerging field of DNA storage employs strands of DNA bases (A/T/C/G) as a storage medium for digital information to enable massive density and durability. The DNA storage pipel…
Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning
Barak Gahtan, Robert J. Shahla, Reuven Cohen +1
QUIC, a new and increasingly used transport protocol, enhances TCP by offering improved security, performance, and stream multiplexing. These features, however, also impose challen…
WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring
Barak Gahtan, Shany Funk, Einat Kodesh +3
Musculoskeletal injuries during military training significantly impact readiness, making prevention through activity monitoring crucial. While Human Activity Recognition (HAR) usin…
Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis
Barak Gahtan, Robert J. Shahla, Alex M. Bronstein +1
The increasing adoption of the QUIC transport protocol has transformed encrypted web traffic, necessitating new methodologies for network analysis. However, existing datasets lack…
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling
Barak Gahtan, Reuven Cohen, Alex M. Bronstein +1
We study the problem of real-time scheduling in a multi-hop millimeter-wave (mmWave) mesh. We develop a model-free deep reinforcement learning algorithm called Adaptive Activator R…
5G Routing Interfered Environment
Barak Gahtan
5G is the next-generation cellular network technology, with the goal of meeting the critical demand for bandwidth required to accommodate a high density of users. It employs flexib…