Yingzhen Li
35 papers · 2015–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Yingzhen Li?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zijing Ou, Tobias Schröder, Andrew Duncan
4 papers
· 2022–2025
· NeurIPS, ICLR
Hide ▲
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
ICLR 2025
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
NeurIPS 2024
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
NeurIPS 2023
Learning Neural Set Functions Under the Optimal Subset Oracle
NeurIPS 2022
6 papers whose co-authors appear nowhere else under this name
Calibrating Transformers via Sparse Gaussian Processes
ICLR 2023
Robust and Adaptive Deep Learning via Bayesian Principles
AAAI 2023
Repairing Neural Networks by Leaving the Right Past Behind
NeurIPS 2022
Scalable Infomin Learning
NeurIPS 2022
Are Generative Classifiers More Robust to Adversarial Attacks?
ICML 2019
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
ICML 2017