Christopher J. Rozell

1. Variational Autoencoder with Learned Latent Structure
   2020/06/18 by Marissa Connor, Gregory Canal, Connor, Marissa C. +3 · 4 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Hierarchical Optimal Transport for Multimodal Distribution Alignment
   2019/06/27 by John Lee, Max Dabagia, Lee, John +5 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies #cs.LG #stat.ML
3. Stable Manifold Embeddings with Structured Random Matrices
   2012/09/14 by Han Lun Yap, Yap, Han Lun, Michael B. Wakin +3 · 1 citation
   Computer Science · Mathematics · #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #cs.IT #math.DG #math.IT
4. Re-Weighted l₁ Dynamic Filtering for Time-Varying Sparse Signal Estimation
   2012/08/01 by Adam S. Charles, Charles, Adam S., Christopher J. Rozell +1 · 2 citations
   Computer Science · Engineering · Mathematics · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Blind Source Separation Techniques #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Statistical Methods and Inference #Statistics Theory (math.ST) #math.ST #stat.AP #stat.TH
5. Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
   2024/08/29 by Yenho Chen, Noga Mudrik, Chen, Yenho +9 · 1 voice · 3 citations
   Computer Science · Mathematics · #Machine Learning and Data Classification #Neural Networks and Applications #Statistical and Computational Modeling #cs.LG #stat.ML
6. Active embedding search via noisy paired comparisons
   2019/05/10 by Gregory H. Canal, Gregory Canal, Canal, Gregory H. +6 · 1 citation
   Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #cs.LG #stat.ML
7. Generative causal explanations of black-box classifiers
   2020/06/24 by Matthew O’Shaughnessy, Gregory Canal, O'Shaughnessy, Matthew +7 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
8. Learning Internal Representations of 3D Transformations from 2D Projected Inputs
   2023/03/31 by Marissa Connor, Bruno A. Olshausen, Connor, Marissa +3 · 1 citation
   Neuroscience · Computer Science · Mathematics · #Visual perception and processing mechanisms #Advanced Vision and Imaging #Morphological variations and asymmetry