Summary of Evidence From Fmri Supports a Two-phase Abstraction Process in Language Models, by Emily Cheng and Richard J. Antonello
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Modelsby Emily Cheng, Richard J.…
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Modelsby Emily Cheng, Richard J.…
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Mergingby Deyuan Liu, Zhanyue Qin,…
A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detectionby Morteza Bodaghi, Majid Hosseini,…
Comparing analytic and data-driven approaches to parameter identifiability: A power systems case studyby Nikolaos Evangelou,…
Towards understanding how attention mechanism works in deep learningby Tianyu Ruan, Shihua ZhangFirst submitted to…
Exploring the Manifold of Neural Networks Using Diffusion Geometryby Elliott Abel, Andrew J. Steindl, Selma…
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learningby Ilya Kaufman, Omri AzencotFirst…
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifoldsby Xingzhi…
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translationsby…
Dissecting embedding method: learning higher-order structures from databy Liubov Tupikina, Kathuria HritikaFirst submitted to arxiv…