Wonyeol Lee
6 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (19) π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
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The Questioner
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(5)
Artificial Intelligence
(3)
Optimization & Theory Β· Deep Learning
(3)
Architectures
(2)
Core AI
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core Methods
(1)
Learning Types
(1)
Methods
(1)
Models
(1)
Keywords
automatic differentiation
(3)
neural network
(2)
activation function
(2)
clarke subderivative
(2)
deep learning
(1)
time series
(1)
dynamic programming
(1)
posterior inference
(1)
variance reduction
(1)
differentiable programming
(1)
gradient computation
(1)
manifold sampling
(1)
stochastic variational inference
(1)
reparameterization gradient
(1)
non-differentiable model
(1)
correctness guarantee
(1)
differentiable algorithm
(1)
max pooling
(1)
floating point
(1)
mathematical analysis
(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
Differentiable Algorithm for Marginalising Changepoints
AAAI 2020
On Correctness of Automatic Differentiation for Non-Differentiable Functions
NeurIPS 2020
Reparameterization Gradient for Non-differentiable Models
NeurIPS 2018