176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas at DallasUS27 papers
- University of North TexasUS6 papers
- The University of MelbourneAU3 papers
- University of DallasUS3 papers
- Emory UniversityUS2 papers
- Northeastern UniversityUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of Texas Health Science Center at DallasUS2 papers
- University of ToledoUS2 papers
- Acupuncture And Massage CollegeUS1 paper
- AdelardGB1 paper
- Amherst CollegeUS1 paper
7 papers · 1 filter
Non-linear infusion of intrinsic alignment and source clustering: impact on non-Gaussian cosmic shear statistics
J. Harnois-Déraps, N. Šarčević, L. Medina Varela +15
Intrinsic alignments (IA) of galaxies is one of the key secondary signals to cosmic shear measurements, and must be modeled to interpret weak lensing data and infer the correct cos…
Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation
Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel +1
Drafting a Statement of Work (SOW) is a vital part of business and legal projects. It outlines key details like deliverables, timelines, responsibilities, and legal terms. However,…
Symbolic Rule Extraction from Attention-Guided Sparse Representations in Vision Transformers
Parth Padalkar, Gopal Gupta
Recent neuro-symbolic approaches have successfully extracted symbolic rule-sets from CNN-based models to enhance interpretability. However, applying similar techniques to Vision Tr…
A direct detection method of galaxy intrinsic ellipticity-gravitational shear correlation in non-linear regimes using self-calibration
Avijit Bera, Leonel Medina Varela, Vinu Sooriyaarachchi +3
Intrinsic alignment (IA) of galaxies is a challenging source of contamination in the Cosmic shear (GG) signals. The galaxy intrinsic ellipticity-gravitational shear (IG) correlatio…
Autonomous Task Completion Based on Goal-directed Answer Set Programming
Alexis R. Tudor
Task planning for autonomous agents has typically been done using deep learning models and simulation-based reinforcement learning. This research proposes combining inductive learn…
On stochastic control problems with higher-order moments
Yike Wang, Jingzhen Liu, Alain Bensoussan +2
In this paper, we focus on a class of time-inconsistent stochastic control problems, where the objective function includes the mean and several higher-order central moments of the…
Roadmap on Atomic-scale Semiconductor Devices
Steven R. Schofield, Andrew J. Fisher, Eran Ginossar +47
Spin states in semiconductors provide exceptionally stable and noise-resistant environments for qubits, positioning them as optimal candidates for reliable quantum computing techno…