3 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers
Zhiye Song, Steve Dai, Ben Keller +1
Diffusion models have revolutionized video generation, becoming essential tools in creative content generation and physical simulation. Transformer-based architectures (DiTs) and c…
TurboSAT: Gradient-Guided Boolean Satisfiability Accelerated on GPU-CPU Hybrid System
Steve Dai, Cunxi Yu, Kalyan Krishnamani +1
While accelerated computing has transformed many domains of computing, its impact on logical reasoning, specifically Boolean satisfiability (SAT), remains limited. State-of-the-art…
Pretraining Large Language Models with NVFP4
NVIDIA, Felix Abecassis, Anjulie Agrusa +87
Large Language Models (LLMs) today are powerful problem solvers across many domains, and they continue to get stronger as they scale in model size, training set size, and training…
SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity
Zichen Fan, Steve Dai, Rangharajan Venkatesan +2
Diffusion models have gained significant popularity in image generation tasks. However, generating high-quality content remains notably slow because it requires running model infer…