From the 1 of 35 papers with an AI index.
192 citations
- University of Southern CaliforniaUS34 papers
- University of California, BerkeleyUS4 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- Princeton UniversityUS3 papers
- Stanford UniversityUS3 papers
- California Institute of TechnologyUS2 papers
- ETH ZurichCH2 papers
- Flatiron Health (United States)US2 papers
- Flatiron Institute2 papers
- SLAC National Accelerator LaboratoryUS2 papers
- The University of Texas at AustinUS2 papers
- University of California, Los AngelesUS2 papers
22 papers
Physics-Constrained Compressed Sensing for Quantum Sensing in the Data-Starved Regime
Amir Kalev
Quantum sensors promise measurement sensitivities that can scale at the Heisenberg limit, but in practice their performance is often degraded by noise, finite sampling, and impleme…
First-principles predictions of carrier mobility with record accuracy using GW perturbation theory
Nick Pant, Sabyasachi Tiwari, Steven G. Louie +2
Accurate prediction of carrier mobility is critical for the discovery and design of next-generation electronic materials. Despite sustained progress, state-of-the-art ab initio met…
Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference
Chen Gong, Beijie Liu, Mengyuan Li
As large language models (LLMs) grow in scale and are predominantly served from remote platforms, verifying faithful inference execution becomes critical (i.e., ensuring that a pro…
Interactive Extraction of High-Frequency Aesthetically-Coherent Colormaps
Santiago V. Lombeyda, Mathieu Desbrun
The paper introduces an interactive technique that extracts colormaps with high-frequency luminance and aesthetically coherent colors from artwork or photographs, allowing users to…
Learning Fair Allocation of Indivisible Items from Limited Feedback
Xinyu Liu, David Kempe, Evi Micha
We study a setting in which an algorithm must output a fair allocation of indivisible items while "learning on the job". More specifically, the algorithm is to output an allocation…
Theory of ab initio downfolding with arbitrary range electron-phonon coupling
Norm M. Tubman, Christopher J. N. Coveney, Chih-En Hsu +6
Ab initio downfolding describes the electronic structure of materials within a low-energy subspace, often around the Fermi level. Typically starting from mean-field calculations, t…