Wonyeol Lee
6 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7) π Cross-Pollinator (13)
π
Conference Polyglot
(4)
π
Grand Slam
β
The Questioner
Conferences
ICML (2)
NIPS (2)
AAAI (1)
ICLR (1)
Top co-authors
Keywords
automatic differentiation
(2)
bayesian inference
(1)
deep learning theory
(1)
deep learning
(1)
time series
(1)
dynamic programming
(1)
posterior inference
(1)
variance reduction
(1)
differentiable programming
(1)
gradient computation
(1)
changepoint detection
(1)
manifold sampling
(1)
stochastic variational inference
(1)
reparameterization gradient
(1)
non-differentiable model
(1)
correctness guarantee
(1)
floating-point arithmetic
(1)
clarke subderivative
(1)
differentiable algorithm
(1)
neural network
(1)
Papers
Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
ICML 2025
What does automatic differentiation compute for neural networks?
ICLR 2024
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
ICML 2023
On Correctness of Automatic Differentiation for Non-Differentiable Functions
NIPS 2020
Differentiable Algorithm for Marginalising Changepoints
AAAI 2020
Reparameterization Gradient for Non-differentiable Models
NIPS 2018