9 papers
Coupled Query-Key Dynamics for Attention
Barak Gahtan, Alex M. Bronstein
Standard scaled dot-product attention computes scores from static, independent projections of the input. We show that evolving queries and keys \emph{jointly} through shared learne…
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…
Wildfire Simulation with 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…
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…
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…
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…