Anqi Wu
Edenfield Early-Career Assistant Professor
Develops probabilistic latent variable models for neural and behavioral data in computational neuroscience.
Anqi Wu's lab at Georgia Tech works on probabilistic & causal inference, computational neuroscience & cognition and neuroscience & brain-computer interfaces. 21 papers since 2023, 19 at top venues, mostly ICML and NeurIPS. 6 PhD students. 13 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 90%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 13
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 8 · collecting
- 3 papers2025 · T1 2
- 7 papers2024 · T1 7
- 2 papers2023 · T1 2
T1 venuesOtherVenues: ICML, NeurIPS, ICLR, ICRA, TMLR
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces2 papers
- latent2 papers
- Probabilistic & causal inference0 papers
- Computational neuroscience & cognition0 papers
- behavioral data0 papers
Paper list
From the lab homepage.
20269 papers
- ICML (T1)A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics
- ICML (T1)A Hitchhiker's Guide to Poisson Gradient Estimation
- ICML (T1)Distributional Inverse Reinforcement Learning
- IEEE/ASME Transactions on MechatronicsEmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning
- NeurIPS (T1)Learning Reusable Motor Motifs for Continuous Animal Behavior Modeling
- NeurIPS (T1)Learning When Visual Context Matters for Mouse Behavior Analysis
- NeurIPS (T1)MICE: Multi-animal Interaction Context Encoder — A Hierarchical Foundation Model for Mouse Behavior
- NeurIPS (T1)QDMouse4M: A Multi-View 3D Mouse Spontaneous Behavior Dataset with Quantum-Dot Markers
- ICLR (T1)Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
20253 papers
- ICML (T1)Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
- IEEE Robotics and Automation Letters (RA-L), ; ICRALearn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion Over Real-World Uneven Terrain
- ICML (T1)Learning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian Processes
20247 papers
- ICML (T1)A Differentiable POGLM with Forward-Backward Message Passing
- NeurIPS (T1)Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
- ICLR (T1)Forward χ2 Divergence Based Variational Importance Sampling
- ICRA (T1)Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
- TMLR (T1)Inverse Kernel Decomposition
- ICML (T1)Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
- ICLR (T1)One-hot Generalized Linear Model for Switching Brain State Discovery
20232 papers
- NeurIPS (T1)Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with a Diffusion Model
- NeurIPS (T1)Inverse Reinforcement Learning with the Average Reward Criterion
Where alumni went13 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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