Daniel D. Lee

1. Parametric Matrix Models
   2024/01/22 by Patrick Cook, Danny Jammooa, Cook, Patrick +7 · 2 voices · 2 citations
   #cs.LG #cond-mat.dis-nn #nucl-th #physics.comp-ph #quant-ph
2. Classification and Geometry of General Perceptual Manifolds
   2018/07/05 by SueYeon Chung, Daniel D. Lee, Haim Sompolinsky · 1 voice · 15 citations
   Neuroscience · Computer Science · #Visual perception and processing mechanisms #Neural Networks and Applications #Face and Expression Recognition
3. Learning Implicit Sampling Distributions for Motion Planning
   2018/06/06 by Clark Zhang, Zhang, Clark, Jinwook Huh +3 · 3 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Robot Manipulation and Learning #Robotic Path Planning Algorithms #Robotics (cs.RO) #Software Testing and Debugging Techniques
4. The Stan Math Library: Reverse-Mode Automatic Differentiation in C++
   2015/09/23 by Bob Carpenter, Carpenter, Bob, Matthew D. Hoffman +9 · 4 citations
   Computer Science · Decision Sciences · Mathematics · #F.2.1 #FOS: Computer and information sciences #G.1.0 #G.1.3 #G.1.4 #Markov Chains and Monte Carlo Methods #Mathematical Software (cs.MS) #Numerical Methods and Algorithms #Simulation Techniques and Applications
5. Local Disentanglement in Variational Auto-Encoders Using Jacobian L₁ Regularization
   2021/06/05 by Travers Rhodes, Rhodes, Travers, Daniel D. Lee +1 · 3 citations
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
6. Learning to Track Dynamic Targets in Partially Known Environments
   2020/06/17 by Heejin Jeong, Jeong, Heejin, Hamed Hassani +7 · 1 citation
   Computer Science · #Machine Learning and Algorithms #Anomaly Detection Techniques and Applications #Reinforcement Learning in Robotics
7. Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
   2025/02/20 by Chanwoo Chun, Abdülkadir Canatar, Chun, Chanwoo +5 · 2 citations
   Computer Science · #Neural Networks and Applications
8. Higher-Order Function Networks for Learning Composable 3D Object Representations
   2019/07/24 by Eric Mitchell, Selim Engin, Mitchell, Eric +5 · 2 citations
   Engineering · Computer Science · #3D Shape Modeling and Analysis #Human Pose and Action Recognition #Image Processing and 3D Reconstruction