Awesome Generative Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Matthew Willetts — most-cited papers & profile · Generative Models
← authors
·
overview
Matthew Willetts
8
papers ·
21
citations ·
8
h-index
Bruker (United States) · Bruker (Canada)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Improving VAEs' Robustness to Adversarial Attack
2019 · 6 citations
Multi-Facet Clustering Variational Autoencoders
2021 · 5 citations
Semi-unsupervised Learning of Human Activity using Deep Generative Models
2018 · 3 citations
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
2020 · 2 citations
Certifiably Robust Variational Autoencoders
2021 · 2 citations
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders
2019 · 1 citations
Learning Bijective Feature Maps for Linear ICA
2020 · 1 citations
Relaxed-Responsibility Hierarchical Discrete VAEs
2020 · 1 citations
Top co-authors
Chris Holmes
· 7
Stephen Roberts
· 6
Alexander Camuto
· 4
Tom Rainforth
· 3
Aiden Doherty
· 1
Ben Barrett
· 1
Brooks Paige
· 1
Christopher Yau
· 1
Fabian Falck
· 1
George Nicholson
· 1
Haoting Zhang
· 1
Xenia Miscouridou
· 1
Topics
GANs
cs.IT
math.IT
eess.SP
Training & Sampling
stat.ML
cond-mat.stat-mech