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 • 1
Improving Hyperparameter Optimization with Checkpointed Model Weights Paper • 2406.18630 • Published Jun 26, 2024 • 1
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 • 22 items • Updated 4 days ago • 1
Stochastic Hyperparameter Optimization through Hypernetworks Paper • 1802.09419 • Published Feb 26, 2018 • 1
Optimizing Millions of Hyperparameters by Implicit Differentiation Paper • 1911.02590 • Published Nov 6, 2019 • 1
Test-Time Training with KV Binding Is Secretly Linear Attention Paper • 2602.21204 • Published Feb 24 • 32