Blog
A Comparative and Measurement-Based Study on Real-Time Network KPI Extraction Methods for 5G and Beyond Applications
Key performance indicators (KPIs), which can be extracted from the standardized interfaces of network equipment defined by current standards, constitute a primary data source that can be leveraged in the development of non-standardized new equipment, architectures, and computational tools. In next-generation technologies,...
Linking the KM3-230213A Neutrino Event to Dark Matter Decay and Gravitational Waves Signals
The KM3NeT collaboration recently reported the detection of an ultra-high-energy neutrino event, dubbed KM3-230213A. This is the first observed neutrino event with energy of the order of $\mathcal{O}(100)$PeV, the origin of which remains unclear. We interprete this high energy neutrino event results...
Search for Axionlike Dark Matter Using Liquid-State Nuclear Magnetic Resonance
We search for dark matter in the form of axionlike particles (ALPs) in the mass range $5.576741 \,\mathrm{neV/c^2}$ – $5.577733\,\mathrm{neV/c^2}$ by probing their possible coupling to fermion spins through the ALP field gradient. This is achieved by performing proton nuclear magnetic resonance...
Certified Mitigation of Worst-Case LLM Copyright Infringement
The exposure of large language models (LLMs) to copyrighted material during pre-training raises concerns about unintentional copyright infringement post deployment. This has driven the development of “copyright takedown” methods, post-training approaches aimed at preventing models from generating content substantially similar to copyrighted...
PRIME: Fast Primal-Dual Feedback Optimization for Markets with Application to Optimal Power Flow
Online Feedback Optimization (OFO) controllers iteratively drive a plant to an optimal operating point that satisfies input and output constraints, relying solely on the input-output sensitivity as model information. This paper introduces PRIME (PRoximal Iterative MarkEts), a novel OFO approach based on...
Effect of Coriolis Force on the Shear Viscosity of Rotating Nuclear Medium
Following the recent observation of non-zero spin polarization and spin alignment of a few hadrons, the rotational aspect of quark-gluon plasma formed in heavy ion collisions has attracted considerable interest. The present work explores the effect of the Coriolis force, arising due...
$π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
In order for robots to be useful, they must perform practically relevant tasks in the real world, outside of the lab. While vision-language-action (VLA) models have demonstrated impressive results for end-to-end robot control, it remains an open question how far such models...
How to make CLEAN variants faster? Using clustered components informed by the autocorrelation function
Deconvolution, imaging and calibration of data from radio interferometers is a challenging computational (inverse) problem. The upcoming generation of radio telescopes poses significant challenges to existing, and well proven data reduction pipelines due to the large data sizes expected from these experiments,...
On the convergence of a perturbed one dimensional Mann’s process
We consider the perturbed Mann’s iterative process \begin{equation} x_{n+1}=(1-\theta_n)x_n+\theta_n f(x_n)+r_n, \end{equation} where $f:[0,1]\rightarrow[0,1]$ is a continuous function, $\{\theta_n\}\in [0,1]$ is a given sequence, and $\{r_n\}$ is the error term. We establish that if the sequence $\{\theta_n\}$ converges relatively slowly to $0$ and...
A Mysterious Connection Between Tolerant Junta Testing and Agnostically Learning Conjunctions
The main conceptual contribution of this paper is identifying a previously unnoticed connection between two central problems in computational learning theory and property testing: agnostically learning conjunctions and tolerantly testing juntas. Inspired by this connection, the main technical contribution is a pair...