Jonathan Lorraine

Computer Science · Physical Sciences

7h-index263citations28works1.62yr avg
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Research Topics

Machine Learning and Data Classification(8), Generative Adversarial Networks and Image Synthesis(6), Human Motion and Animation(4), Advanced Neural Network Applications(3), 3D Shape Modeling and Analysis(3)

Publications28 total

Motion Attribution for Video Generation
arXiv (Cornell University)·2026Open Access
Motion Attribution for Video Generation
ArXiv.org·2026Open Access
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond
arXiv (Cornell University)·2025Open Access
Improving Hyperparameter Optimization with Checkpointed Model Weights
Lecture notes in computer science·2025· 1 cited
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models
arXiv (Cornell University)·2024· 3 citedOpen Access
Multi-student Diffusion Distillation for Better One-step Generators
arXiv (Cornell University)·2024Open Access
Scalable Nested Optimization for Deep Learning
arXiv (Cornell University)·2024Open Access
Improving Hyperparameter Optimization with Checkpointed Model Weights
arXiv (Cornell University)·2024Open Access
Training Data Attribution via Approximate Unrolled Differentiation
arXiv (Cornell University)·2024· 1 citedOpen Access
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
arXiv (Cornell University)·2024Open Access
Training Data Attribution via Approximate Unrolling
2024
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
Lecture notes in computer science·2024· 14 cited
Graph Metanetworks for Processing Diverse Neural Architectures
arXiv (Cornell University)·2023· 1 citedOpen Access
Using Large Language Models for Hyperparameter Optimization
arXiv (Cornell University)·2023· 7 citedOpen Access
ATT3D: Amortized Text-to-3D Object Synthesis
2023· 45 cited
ATT3D: Amortized Text-to-3D Object Synthesis
arXiv (Cornell University)·2023Open Access
On Implicit Bias in Overparameterized Bilevel Optimization
arXiv (Cornell University)·2022· 3 citedOpen Access
Task Selection for AutoML System Evaluation
arXiv (Cornell University)·2022Open Access
Lyapunov Exponents for Diversity in Differentiable Games
2022· 1 cited
Lyapunov Exponents for Diversity in Differentiable Games
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

David Duvenaud(7), Sanja Fidler(7), James M. Lucas(7), Paul Vicol(6), Antonio Torralba(5), Roger Grosse(4), Kevin Xie(3), Xiaohui Zeng(3), Juhan Bae(3), Chen-Hsuan Lin(2), Towaki Takikawa(2), Nicholas Sharp(2), Tsung-Yi Lin(2), Ming-Yu Liu(2), Tianshi Cao(2), Wu Lin(2), Steve Masson(2), Zaid Pervaiz Bhat(2), Jack Parker-Holder(2), Tal Kachman(2)