1.6k citations
- SLAC National Accelerator LaboratoryUS267 papers
- Stanford UniversityUS181 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS139 papers
- Fermi National Accelerator LaboratoryUS82 papers
- University of California, BerkeleyUS76 papers
- Lawrence Berkeley National LaboratoryUS56 papers
- University College LondonGB52 papers
- Meta (United States)US51 papers
- University of MichiganUS47 papers
- California Institute of TechnologyUS39 papers
- Netherlands Institute for Radio AstronomyNL39 papers
- Institució Catalana de Recerca i Estudis AvançatsES36 papers
446 papers
The Memory Scaling of Reverse-Mode Differentiation in Particle Accelerator Simulations with Space Charge
Arjun Dhamrait, Edoardo Zoni, Axel Huebl +7
The recent development of differentiable simulation codes for particle accelerators has enabled gradient-based workflows that promise finer control and more realistic modeling of a…
Exploring Student Feedback Needs and Design Opportunities in Data Storytelling Education
Jennifer Posada, Taha Hassan, Lujie Karen Chen +2
Data storytelling workflows ask learners to integrate analytical, design, and narrative skills, but instructors rarely have the capacity to provide detailed feedback at each step.…
Foreground Mitigation for CMB Lensing with the Global Minimum Variance Quadratic Estimator
Yuka Nakato, W. L. Kimmy Wu, Ana Carolina Silva Oliveira +2
Weak gravitational lensing of the cosmic microwave background (CMB) is a powerful probe of cosmology, providing insight into structure formation and the evolution of the universe.…
A Comprehensive JWST/NIRSpec Census of Broad-line Active Galactic Nuclei: Faint, Low-mass Accretors and a Population of Little Red Dots
Caroline Baccus, Xinfeng Xu
We present a sample of 227 broad-line active galactic nuclei (BLAGNs), incorporating 148 newly identified sources, spanning a redshift interval from z = 0.8 to 7.2. We analyze spec…
Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-Head Decoding
Yunkai Zhang, Qiang Zhang, Feng Lin +7
Optimizing recommender systems for objectives beyond accuracy, such as diversity, novelty, and personalization, is crucial for long-term user satisfaction. To this end, industrial…
Adding All Flavors: A Hybrid Random Number Generator for dApps and Web3
Ranjith Chodavarapu, Rabimba Karanjai, Xinxin Fan +2
Random numbers play a vital role in many decentralized applications (dApps), such as gaming and decentralized finance (DeFi) applications. Existing random number provision mechanis…