Rozell, Christopher J.
- Variational Autoencoder with Learned Latent Structure
2020/06/18 by Marissa Connor, Gregory Canal, Connor, Marissa C. +3 · 3 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)
- Hierarchical Optimal Transport for Multimodal Distribution Alignment
2019/06/27 by John Lee, Max Dabagia, Lee, John +5 · 2 citations
Computer Science · #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
- Stable Manifold Embeddings with Structured Random Matrices
2012/09/14 by Yap, Han Lun, Wakin, Michael B., Rozell, Christopher J. · 1 citation
#Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT)
- 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 · #Machine Learning and Data Classification #Neural Networks and Applications #Statistical and Computational Modeling #cs.LG #stat.ML
- Active embedding search via noisy paired comparisons
2019/05/10 by Gregory Canal, Andrew K. Massimino, Canal, Gregory H. +5 · 1 citation
Computer Science · Decision Sciences · #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