Summary of Transformer Models Are Gauge Invariant: a Mathematical Connection Between Ai and Particle Physics, by Leo Van Nierop
Transformer models are gauge invariant: A mathematical connection between AI and particle physicsby Leo van…
Transformer models are gauge invariant: A mathematical connection between AI and particle physicsby Leo van…
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Modelby Shunlin Lu, Jingbo Wang, Zeyu…
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Awareby Chaoqun Liu, Xuanpeng Li, Chen Gong,…
DriveGPT: Scaling Autoregressive Behavior Models for Drivingby Xin Huang, Eric M. Wolff, Paul Vernaza, Tung…
GenHMR: Generative Human Mesh Recoveryby Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang, Hongfei Xue, Srijan…
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detectionby Youshen Zhao, Keiji IraminaFirst submitted…
Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecastsby Aaron Van…
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classificationby Yudong Han, Haocong Wang,…
MaskHand: Generative Masked Modeling for Robust Hand Mesh Reconstruction in the Wildby Muhammad Usama Saleem,…
Lightweight Safety Classification Using Pruned Language Modelsby Mason Sawtell, Tula Masterman, Sandi Besen, Jim BrownFirst…