Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Claire E. Williams, William Lake, Smadar Naoz, Blakesley Burkhart, Tommaso Treu | Summary: The James Webb Space Telescope (JWST) is capable of probing extremely early eras of our Universe when the supersonic relative motions between dark matter and baryonic overdensities modulate structure formation ($z>sim 10$). We study […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Claire E. Williams, William Lake, Smadar Naoz, Blakesley Burkhart, Tommaso Treu | Summary: The James Webb Space Telescope (JWST) is capable of probing extremely early eras of our Universe when the supersonic relative motions between dark matter and baryonic overdensities modulate structure formation ($z>sim 10$). We study […]
Kavli Affiliate: Kiyoshi Wesley Masui | First 5 Authors: Yitian Sun, Katelin Schutz, Harper Sewalls, Calvin Leung, Kiyoshi Wesley Masui | Summary: Axion dark matter (DM) produces echo images of bright radio sources via stimulated decay. These images appear as a faint radio line centered at half the axion mass, with the line width set […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Meredith Neyer, Aaron Smith, Rahul Kannan, Mark Vogelsberger, Enrico Garaldi | Summary: An important characteristic of cosmic reionization is the growth of ionized gas bubbles surrounding early luminous objects. Understanding the connections between the formation and coalescence of these bubbles and their originating astrophysical sources is equally […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Meredith Neyer, Aaron Smith, Rahul Kannan, Mark Vogelsberger, Enrico Garaldi | Summary: An important characteristic of cosmic hydrogen reionization is the growth of ionized gas bubbles surrounding early luminous objects. Ionized bubble sizes are beginning to be probed using Lyman-$alpha$ emission from high-redshift galaxies, and will also […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Max Tegmark, , , | Summary: Neural scaling laws (NSL) refer to the phenomenon where model performance improves with scale. Sharma & Kaplan analyzed NSL using approximation theory and predict that MSE losses decay as $N^{-alpha}$, $alpha=4/d$, where $N$ is the number of model parameters, […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Max Tegmark, , , | Summary: Neural scaling laws (NSL) refer to the phenomenon where model performance improves with scale. Sharma & Kaplan analyzed NSL using approximation theory and predict that MSE losses decay as $N^{-alpha}$, $alpha=4/d$, where $N$ is the number of model parameters, […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Wes Gurnee, Max Tegmark, , , | Summary: The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a coherent model of the data generating process — a world model. We find evidence for […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Wes Gurnee, Max Tegmark, , , | Summary: The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a coherent model of the data generation process — a world model. We find preliminary evidence […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Wes Gurnee, Max Tegmark, , , | Summary: The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a set of more coherent and grounded representations that reflect the real world. We find evidence […]