Aditya Parikh

1. Report of the Topical Group on Cosmic Probes of Dark Matter for Snowmass 2021
   2022/09/17 by A. Drlica-Wagner, Alex Drlica-Wagner, Drlica-Wagner, Alex +83 · 2 voices · 4 citations
   Physics and Astronomy · Engineering · #Dark Matter and Cosmic Phenomena #Photocathodes and Microchannel Plates #Atomic and Subatomic Physics Research
2. Wrinkles in the Froggatt-Nielsen Mechanism and Flavorful New Physics
   2023/08/02 by Pouya Asadi, Arindam Bhattacharya, Asadi, Pouya +7 · 3 citations
   Physics and Astronomy · Computer Science · #Cosmology and Gravitation Theories #Computational Physics and Python Applications #Black Holes and Theoretical Physics
3. Regulating Sommerfeld resonances for multi-state systems and higher partial waves
   2024/10/23 by Aditya Parikh, Parikh, Aditya, Ryosuke Sato +3 · 2 citations
   Physics and Astronomy · #Astrophysics of Galaxies (astro-ph.GA) #Cold Atom Physics and Bose-Einstein Condensates #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Quantum chaos and dynamical systems #Quantum optics and atomic interactions
4. Semi-Analytic Modeling of Dark Matter Subhalo Encounters with Thin Stellar Streams: Statistical Predictions for GD-1-like Streams in CDM
   2024/12/17 by D. Adams, Adams, Duncan K., Aditya Parikh +9 · 2 citations
   Physics and Astronomy · #Scientific Research and Discoveries #Cosmology and Gravitation Theories #Astronomy and Astrophysical Research
5. Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
   2024/10/28 by Helen Schneider, Schneider, Helen, Sebastian Nowak +15 · 1 citation
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Neural Networks and Applications
6. First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery
   2026/07/31 by Priya Tomar, Maximilian Broß, Philipp Feodorovici +7
   Computer Science · #cs.CV
7. Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation
   2026/07/31 by Priya Tomar, Aditya Parikh, Christian Bauckhage +1
   Computer Science · #cs.CV #cs.LG