Variance Reduction for Expectations with Diffusion Teachers Paper • 2605.21489 • Published May 21 • 1
NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Paper • 2606.03159 • Published Jun 2 • 23
NVIDIA OmniDreams Collection NVIDIA OmniDreams model checkpoints and sample datasets. • 3 items • Updated 21 days ago • 6
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond Paper • 2505.04621 • Published May 7, 2025 • 2
Multi-student Diffusion Distillation for Better One-step Generators Paper • 2410.23274 • Published Oct 30, 2024 • 2
Improving Hyperparameter Optimization with Checkpointed Model Weights Paper • 2406.18630 • Published Jun 26, 2024 • 2
Training Data Attribution via Approximate Unrolled Differentiation Paper • 2405.12186 • Published May 20, 2024 • 1
Graph Metanetworks for Processing Diverse Neural Architectures Paper • 2312.04501 • Published Dec 7, 2023 • 1
Using Large Language Models for Hyperparameter Optimization Paper • 2312.04528 • Published Dec 7, 2023 • 1
On Implicit Bias in Overparameterized Bilevel Optimization Paper • 2212.14032 • Published Dec 28, 2022 • 1
Lyapunov Exponents for Diversity in Differentiable Games Paper • 2112.14570 • Published Dec 24, 2021 • 1
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions Paper • 1903.03088 • Published Mar 7, 2019 • 1
Jonathan Lorraine's Papers Collection A collection of all of the papers from Jonathan Lorraine • 23 items • Updated 29 days ago • 1
Stochastic Hyperparameter Optimization through Hypernetworks Paper • 1802.09419 • Published Feb 26, 2018 • 1