Anqi Wu
18 papers · 2014–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
👑
Triple Crown
🌈
Renaissance Researcher
(7)
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
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Keyword Collector
(108)
Top co-authors
Research topics
Machine Learning
(17)
Core Methods
(9)
Deep Learning
(8)
Optimization & Theory
(8)
Bayesian & Probabilistic
(7)
Artificial Intelligence
(5)
Interdisciplinary
(5)
Models
(5)
Science
(5)
Healthcare & Medicine
(4)
Research
(4)
Application Areas
(3)
Core AI
(3)
Learning Types
(3)
Data Science & Analytics
(2)
Keywords
variational inference
(6)
gaussian process
(5)
latent variable model
(5)
bayesian inference
(2)
diffusion model
(2)
inverse reinforcement learning
(2)
spatiotemporal structure
(2)
hierarchical model
(2)
disentangled representation
(2)
latent dynamics
(2)
dimensionality reduction
(2)
sparse regression
(2)
automatic relevance determination
(2)
time varying
(2)
video generation
(1)
neural encoding
(1)
feature selection
(1)
manifold learning
(1)
neural decoding
(1)
gaussian processes
(1)
Papers
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
ICML 2025
Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
ICML 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
ICML 2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
NeurIPS 2024
Forward χ^2 Divergence Based Variational Importance Sampling
ICLR 2024
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
ICML 2024
One-hot Generalized Linear Model for Switching Brain State Discovery
ICLR 2024
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
NeurIPS 2023
Inverse Reinforcement Learning with the Average Reward Criterion
NeurIPS 2023
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
NeurIPS 2020
Dependent relevance determination for smooth and structured sparse regression
JMLR 2019
Deterministic Variational Inference for Robust Bayesian Neural Networks
ICLR 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
UAI 2019
Learning a latent manifold of odor representations from neural responses in piriform cortex
NeurIPS 2018
Gaussian process based nonlinear latent structure discovery in multivariate spike train data
NeurIPS 2017
Convolutional spike-triggered covariance analysis for neural subunit models
NeurIPS 2015
Sparse Bayesian structure learning with “dependent relevance determination” priors
NeurIPS 2014