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Career

· Assistant Professor, UC Davis, Electrical and Computer Engineering Department2023–

Publications (52)

Decoupled Contrastive Learning
European Conference on Computer Vision · 2021
230
cited
Orthogonal Convolutional Neural Networks
Computer Vision and Pattern Recognition · 2019
210
cited
Superposition of many models into one
Neural Information Processing Systems · 2019
123
cited
On the duality between contrastive and non-contrastive self-supervised learning
International Conference on Learning Representations · 2022
116
cited
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
Workshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out · 2021
112
cited
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
Computer Vision and Pattern Recognition · 2021
68
cited
The Sparse Manifold Transform
Neural Information Processing Systems · 2018
62
cited
Neural Manifold Clustering and Embedding
arXiv.org · 2022
48
cited
Nonparametric statistical learning control of robot manipulators for trajectory or contour tracking
2015
46
cited
3D Shape Reconstruction from Free-Hand Sketches
ECCV Workshops · 2020
45
cited
Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching
Entropy · 2019
32
cited
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
arXiv.org · 2023
29
cited
Supplementary for Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
2022
21
cited
Word Embedding Visualization Via Dictionary Learning
arXiv.org · 2019
20
cited
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior
Machine Learning: Science and Technology · 2020
18
cited
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding
arXiv.org · 2022
17
cited
A Neural Network MCMC Sampler That Maximizes Proposal Entropy
Entropy · 2020
15
cited
Joint Embedding Self-Supervised Learning in the Kernel Regime
arXiv.org · 2022
15
cited
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces
arXiv.org · 2019
13
cited
Disentangling images with Lie group transformations and sparse coding
NeurReps · 2020
13
cited
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