Aaron J Havens
5 papers · 2023–2025 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Models
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
semidefinite programming
(3)
lipschitz constant
(2)
neural network
(2)
gradient updates
(1)
diffusion model
(1)
spectral method
(1)
memory efficiency
(1)
first-order method
(1)
activation function
(1)
1-lipschitz neural network
(1)
self attention
(1)
lipschitz bound
(1)
eigenvalue optimization
(1)
quadratic constraint
(1)
scalable sampling
(1)
dot product
(1)
local sensitivity
(1)
−부
(1)
adjoint matching
(1)
amortized conformer generation
(1)
Papers
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
ICML 2025
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
ICML 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
ICLR 2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
ICLR 2024
A Unified Algebraic Perspective on Lipschitz Neural Networks
ICLR 2023