Anqi Wu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Inverse Reinforcement Learning

Importance Sampling

Temporal Structure

Top Venues

Publications

Weihan Li, Yule Wang, Chengrui Li, Anqi Wu
Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process. CoRR (2024)
Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, Anqi Wu
One-hot Generalized Linear Model for Switching Brain State Discovery. ICLR (2024)
Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. CoRR (2024)
Chengrui Li, Anqi Wu
Inverse Kernel Decomposition. Trans. Mach. Learn. Res. 2024 (2024)
Chengrui Li, Yule Wang, Weihan Li, Anqi Wu
Forward χ2 Divergence Based Variational Importance Sampling. ICLR (2024)
Feiyang Wu, Zhaoyuan Gu, Ye Zhao, Anqi Wu
Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer. CoRR (2024)
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. ICRA (2024)
Chengrui Li, Weihan Li, Yule Wang, Anqi Wu
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. CoRR (2024)
Weihan Li, Chengrui Li, Yule Wang, Anqi Wu
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. CoRR (2024)
Feiyang Wu, Jingyang Ke, Anqi Wu
Inverse Reinforcement Learning with the Average Reward Criterion. NeurIPS (2023)
Anqi Wu, Arijit Sengupta
Improving Accessibility of Educational Content - An Exploratory Data Analysis. ICIS (2023)
Feiyang Wu, Jingyang Ke, Anqi Wu
Inverse Reinforcement Learning with the Average Reward Criterion. CoRR (2023)
Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. CoRR (2023)
Chengrui Li, Yule Wang, Weihan Li, Anqi Wu
Divergence Based Variational Importance Sampling. CoRR (2023)
Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, Anqi Wu
One-hot Generalized Linear Model for Switching Brain State Discovery. CoRR (2023)
Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. NeurIPS (2023)
Han Yi Chiu, Liang Zhao, Anqi Wu
JGAT: a joint spatio-temporal graph attention model for brain decoding. CoRR (2023)
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. CoRR (2023)
Anqi Wu, Qiqi Zhu
HFL-Net: Highlight Foreground and Local Scale Features Network for Cross-Domain Ship Detection. IGARSS (2022)
Anqi Wu, Aravinda Garimella, Ramanath Subramanyam, Eren Ahsen
Disaster Management Through Digital Platforms: Online Crowdfunding Communities Respond to the COVID-19 Pandemic. HICSS (2022)
Chengrui Li, Anqi Wu
Inverse Kernel Decomposition. CoRR (2022)
Ari Blau, Christoph Gebhardt, Andrés Bendesky, Liam Paninski, Anqi Wu
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework. CoRR (2022)
Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks (2021)
Anqi Wu
Domain Generalization via Domain-based Covariance Minimization. CoRR (2021)
Matthew R. Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, Estefany Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J. Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E. Urai, C. Daniel Salzman, International Brain Laboratory, John P. Cunningham, Liam Paninski
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Comput. Biol. 17 (9) (2021)
Anqi Wu, Samuel A. Nastase, Christopher A. Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow
Brain kernel: A new spatial covariance function for fMRI data. NeuroImage 245 (2021)
Xue Yang, Yanjia Cao, Anqi Wu, Mingqiang Guo, Zhen Dong, Luliang Tang
Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study. ISPRS Int. J. Geo Inf. 10 (10) (2021)
Felix Pei, Joel Ye, David L. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR (2021)
Anqi Wu, Aravinda Garimella, Ramanath Subramanyam
Could Government Measures Crowd Out Grassroots Philanthropy? Empirical Evidence from an Education Crowdfunding Platform. HICSS (2021)
Anqi Wu, Estefany Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. NeurIPS (2020)
Yizhong Xu, Siyi Cao, Jiafang Ji, Qin Xiao, Anqi Wu, Xiuyuan Wang
Differentiated Prosodic Adaption of Chinese and English Poetry: An Acoustic Approach to Reading of Chinese Tang Poetry and Shakespearean Sonnets. APSIPA (2020)
Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. CoRR (2020)
Qi She, Anqi Wu
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. UAI (2019)
Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
Deterministic Variational Inference for Robust Bayesian Neural Networks. ICLR (2019)
Qi She, Anqi Wu
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. CoRR (2019)
Anqi Wu, Oluwasanmi Koyejo, Jonathan W. Pillow
Dependent relevance determination for smooth and structured sparse regression. J. Mach. Learn. Res. 20 (2019)
Anqi Wu, Dharma Kwon, Sung Kim
Reputation in Repeated Pay-to-Bid Auctions. AMCIS (2018)
Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. CoRR (2018)
Anqi Wu, Stan L. Pashkovski, Sandeep R. Datta, Jonathan W. Pillow
Learning a latent manifold of odor representations from neural responses in piriform cortex. NeurIPS (2018)
Anqi Wu, Nicholas A. Roy, Stephen L. Keeley, Jonathan W. Pillow
Gaussian process based nonlinear latent structure discovery in multivariate spike train data. NIPS (2017)
Anqi Wu, Il Memming Park, Jonathan W. Pillow
Convolutional spike-triggered covariance analysis for neural subunit models. NIPS (2015)
Anqi Wu, Mijung Park, Oluwasanmi Koyejo, Jonathan W. Pillow
Sparse Bayesian structure learning with dependent relevance determination priors. NIPS (2014)
Yintao Liu, Anqi Wu, Dong Guo, Ke-Thia Yao, Cauligi S. Raghavendra
Weighted Task Regularization for Multitask Learning. ICDM Workshops (2013)
Daren Yu, Xiao Yu, Qinghua Hu, Jinfu Liu, Anqi Wu
Dynamic time warping constraint learning for large margin nearest neighbor classification. Inf. Sci. 181 (13) (2011)