| EDDI: Efficient dynamic discovery of high-value information with partial VAE C Ma, S Tschiatschek, K Palla, JM Hernández-Lobato, S Nowozin, ... International Conference on Machine Learning, 2019 | 144 | 2019 |
| Variational implicit processes C Ma, Y Li, JM Hernández-Lobato International Conference on Machine Learning, 2019 | 80 | 2019 |
| Deep End-to-end Causal Inference T Geffner, J Antoran, A Foster, W Gong, C Ma, E Kiciman, A Sharma, ... arXiv preprint arXiv:2202.02195, 2022 | 74 | 2022 |
| VAEM: a deep generative model for heterogeneous mixed type data C Ma, S Tschiatschek, R Turner, JM Hernández-Lobato, C Zhang Advances in Neural Information Processing Systems 33, 2020 | 72 | 2020 |
| A Lyapunov-type inequality for a fractional differential equation with Hadamard derivative Q Ma, C Ma, J Wang Journal of Mathematical Inequalities 11 (1), 135-141, 2017 | 44 | 2017 |
| Understanding Causality with Large Language Models: Feasibility and Opportunities C Zhang, S Bauer, P Bennett, J Gao, W Gong, A Hilmkil, J Jennings, C Ma, ... arXiv preprint arXiv:2304.05524, 2023 | 39 | 2023 |
| Identifiable Generative Models for Missing Not at Random Data Imputation C Ma, C Zhang Advances in Neural Information Processing Systems 34, 2021 | 37 | 2021 |
| Partial VAE for hybrid recommender system C Ma, W Gong, JM Hernández-Lobato, N Koenigstein, S Nowozin, ... NIPS Workshop on Bayesian Deep Learning 2018, 2018 | 37 | 2018 |
| Functional Variational Inference based on Stochastic Process Generators C Ma, JM Hernández-Lobato Advances in Neural Information Processing Systems 34, 2021 | 28 | 2021 |
| Causal-discovery performance of chatgpt in the context of neuropathic pain diagnosis R Tu, C Ma, C Zhang arXiv preprint arXiv:2301.13819, 2023 | 26 | 2023 |
| Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I Peis, C Ma, JM Hernández-Lobato arXiv preprint arXiv:2202.04599, 2022 | 14 | 2022 |
| BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis W He, X Mao, C Ma, Y Hang, JM Hernández-Lobato, T Chen ACM Web Conference (WWW2022), 2022 | 14 | 2022 |
| Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning M Ashman, C Ma, A Hilmkil, J Jennings, C Zhang The Eleventh International Conference on Learning Representations, 2023 | 11 | 2023 |
| An accurate European option pricing model under Fractional Stable Process based on Feynman Path Integral C Ma, Q Ma, H Yao, T Hou Physica A: Statistical Mechanics and its Applications 494, 87-117, 2018 | 11 | 2018 |
| A novel combinational forecasting model of dust storms based on rare classes classification algorithm Z Zhang, C Ma, J Xu, J Huang, L Li International Conference on Geo-Informatics in Resource Management and …, 2014 | 11 | 2014 |
| A Causal AI Suite for Decision-Making E Kiciman, EW Dillon, D Edge, A Foster, J Jennings, C Ma, R Ness, ... NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022 | 10 | 2022 |
| Towards Causal Foundation Model: on Duality between Causal Inference and Attention J Zhang, J Jennings, C Zhang, C Ma arXiv preprint arXiv:2310.00809, 2023 | 7 | 2023 |
| Incentive-punitive risk function with interval valued intuitionistic fuzzy information for outsourced software project risk assessment Z Zhang, Y Hu, C Ma, J Xu, S Yuan, Z Chen Journal of Intelligent & Fuzzy Systems 32 (5), 3749-3760, 2017 | 7 | 2017 |
| A Novel Combination Forecast Method on Non-Stationary Time Series and its Application to Exchange Rate Forecasting Z Zhang, Z Ouyang, C Ma, J Xu, L Li, Q Wen Int. J. Simulation—Systems, Sci. Technol. 17 (47), 2016 | 7 | 2016 |
| The Essential Role of Causality in Foundation World Models for Embodied AI T Gupta, W Gong, C Ma, N Pawlowski, A Hilmkil, M Scetbon, A Famoti, ... arXiv preprint arXiv:2402.06665, 2024 | 6 | 2024 |
Cheng ZhangGenAI, MetaVerified email at meta.com
