Ke Alexander Wang
5 papers · 2020–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(15)
π±
Topic Pioneer
β
The Questioner
Conferences
ICML (3)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
gaussian process
(2)
neural network
(2)
black-box optimization
(1)
trajectory prediction
(1)
wavelet transform
(1)
query efficiency
(1)
constrained optimization
(1)
mutual information
(1)
optimal experimental design
(1)
bayesian optimization
(1)
scalable inference
(1)
multiresolution analysis
(1)
convolutional neural network
(1)
entropy search
(1)
physics-informed learning
(1)
physical dynamics
(1)
autoregressive density estimation
(1)
wavelet decomposition
(1)
lagrange multiplier
(1)
multiresolution convolution
(1)
Papers
Sequence Modeling with Multiresolution Convolutional Memory
ICML 2023
Is Importance Weighting Incompatible with Interpolating Classifiers?
ICLR 2022
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
ICML 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
ICML 2021
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
NIPS 2020