Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional…
Renaissance: Investigating the Pretraining of Vision-Language Encodersby Clayton Fields, Casey KenningtonFirst submitted to arxiv on:…
A Survey on Kolmogorov-Arnold Networkby Shriyank Somvanshi, Syed Aaqib Javed, Md Monzurul Islam, Diwas Pandit,…
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device…
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantizationby Jacob Nielsen, Lukas Galke,…
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challengesby Jongseon Kim, Hyungjoon…
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensingby Xintian Sun, Benji Peng,…
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-makingby Zhilong Zhang, Ruifeng Chen, Junyin…
Improving Molecular Graph Generation with Flow Matching and Optimal Transportby Xiaoyang Hou, Tian Zhu, Milong…
Tell What You Hear From What You See – Video to Audio Generation Through Textby…