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Found 7 papers, 5 papers with code
Divergences in Color Perception between Deep Neural Networks and Humans
Deep neural networks (DNNs) are increasingly proposed as models of human vision, bolstered by their impressive performance on image classification and object recognition tasks.
Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models
Natural language processing models learn word representations based on the distributional hypothesis, which asserts that word context (e. g., co-occurrence) correlates with meaning.
comp-syn: Perceptually Grounded Word Embeddings with Color
Popular approaches to natural language processing create word embeddings based on textual co-occurrence patterns, but often ignore embodied, sensory aspects of language.
Constraints on the epoch of dark matter formation from Milky Way satellites
A small fraction of thermalized dark radiation that transitions into cold dark matter (CDM) between big bang nucleosynthesis and matter-radiation equality can account for the entire dark matter relic density.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies High Energy Physics - Phenomenology
Constraints on Dark Matter Microphysics from the Milky Way Satellite Population
Alternatives to the cold, collisionless dark matter (DM) paradigm in which DM behaves as a collisional fluid generically suppress small-scale structure.
Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology
Modeling the Connection Between Subhalos and Satellites in Milky Way-Like Systems
We develop a comprehensive and flexible model for the connection between satellite galaxies and dark matter subhalos in dark matter-only zoom-in simulations of Milky Way (MW)-mass host halos.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
Modeling the Impact of Baryons on Subhalo Populations with Machine Learning
We identify subhalos in dark matter-only (DMO) zoom-in simulations that are likely to be disrupted due to baryonic effects by using a random forest classifier trained on two hydrodynamic simulations of Milky Way (MW)-mass host halos from the Latte suite of the Feedback in Realistic Environments (FIRE) project.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
