Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models Paper • 2501.14818 • Published Jan 20 • 9
The Well Benchmark Models Collection Checkpoints of the models benchmarked on the Well in the original paper. • 58 items • Updated Mar 28 • 3
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation Paper • 2507.02608 • Published Jul 3 • 21
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation Paper • 2507.02608 • Published Jul 3 • 21
Running 3.6k The Ultra-Scale Playbook 🌌 3.6k The ultimate guide to training LLM on large GPU Clusters
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models Paper • 2310.03024 • Published Oct 4, 2023
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients Paper • 2101.02115 • Published Jan 6, 2021
Photonic Differential Privacy with Direct Feedback Alignment Paper • 2106.03645 • Published Jun 7, 2021
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor Paper • 2107.11814 • Published Jul 25, 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients Paper • 2108.04217 • Published Jul 6, 2021
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Paper • 2412.00568 • Published Nov 30, 2024 • 23
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Paper • 2412.00568 • Published Nov 30, 2024 • 23