Wenlin Chen
12 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Gold 🏃 Academic Marathon · Half
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Keyword Pioneer
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Trend Setter
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Conference Pioneer
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Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Deep Learning
(5)
Optimization & Theory
(4)
Core Methods
(3)
Models
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization
(2)
Computer Science
(1)
Keywords
diffusion model
(2)
neural sampler
(2)
probabilistic modeling
(1)
neural network optimization
(1)
distributed computing
(1)
outlier detection
(1)
kullback-leibler divergence
(1)
generative model
(1)
maximum variance unfolding
(1)
parameter sharing
(1)
cardinality constraint
(1)
weight sharing
(1)
bilevel optimization
(1)
submodular maximization
(1)
outlier handling
(1)
gaussian process
(1)
clustering algorithm
(1)
greedy algorithm
(1)
manifold learning
(1)
few-shot learning
(1)
Papers
Progressive Tempering Sampler with Diffusion
ICML 2025
Training Neural Samplers with Reverse Diffusive KL Divergence
AISTATS 2025
Diffusive Gibbs Sampling
ICML 2024
Modelling Variability in Human Annotator Simulation
ACL 2024
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
NeurIPS 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation
ICML 2024
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
ICLR 2023
Strategies for Training Large Vocabulary Neural Language Models
ACL 2016
Compressing Neural Networks with the Hashing Trick
ICML 2015
Fast Distributed k-Center Clustering with Outliers on Massive Data
NeurIPS 2015
Filtered Search for Submodular Maximization with Controllable Approximation Bounds
AISTATS 2015
Maximum Variance Correction with Application to A* Search
ICML 2013