| Hessian based analysis of sgd for deep nets: Dynamics and generalization X Li, Q Gu, Y Zhou, T Chen, A Banerjee Proceedings of the 2020 SIAM International Conference on Data Mining, 190-198, 2020 | 51 | 2020 |
| Sub-seasonal climate forecasting via machine learning: Challenges, analysis, and advances S He, X Li, T DelSole, P Ravikumar, A Banerjee Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 169-177, 2021 | 39 | 2021 |
| Evaluation of feature descriptors for cancerous tissue recognition P Stanitsas, A Cherian, X Li, A Truskinovsky, V Morellas, ... 2016 23rd International Conference on Pattern Recognition (ICPR), 1490-1495, 2016 | 23 | 2016 |
| Stability based generalization bounds for exponential family langevin dynamics A Banerjee, T Chen, X Li, Y Zhou International Conference on Machine Learning, 1412-1449, 2022 | 11 | 2022 |
| Learning and dynamical models for sub-seasonal climate forecasting: Comparison and collaboration S He, X Li, L Trenary, BA Cash, T DelSole, A Banerjee Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4495-4503, 2022 | 6 | 2022 |
| Interpretable predictive modeling for climate variables with weighted lasso S He, X Li, V Sivakumar, A Banerjee Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1385-1392, 2019 | 6 | 2019 |
| Experiments with rich regime training for deep learning X Li, A Banerjee arXiv preprint arXiv:2102.13522, 2021 | 4 | 2021 |
| Noisy truncated sgd: Optimization and generalization Y Zhou, X Li, A Banerjee Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 3 | 2022 |
| Video detection and classification of pedestrian events at roundabouts and crosswalks T Morris, X Li, V Morellas, N Papanikolopoulos Intelligent Transportation Systems Institute, Center for Transportation Studies, 2013 | 2 | 2013 |
| Diagnosing adenocarcinoma of the prostate by computer vision methods R Sivalingam, G Somasundaram, X Li, JC Henriksen, A Banerjee, ... LABORATORY INVESTIGATION 92, 394A-394A, 2012 | 2 | 2012 |
| Machine learning and dynamical models for sub-seasonal climate forecasting S He, X Li, L Trenary, BA Cash, T DelSole, A Banerjee NeurIPS workshop on Machine Learning and the Physical Sciences, 2021 | 1 | 2021 |
| The Use of Computer Vision for the Diagnosis of Benign and Malignant Smooth Muscle Neoplasms of the Uterus M Shahi, X Li, A Kaplan, D Fehr, A Banerjee, V Morellas, ... LABORATORY INVESTIGATION 94, 402A-402A, 2014 | 1 | 2014 |
| Computer Vision Methods in Surgical Pathology: Diagnosing Carcinoma of the Breast A Kaplan, X Li, R Sivalingam, G Somasundaram, A Banerjee, V Morellas, ... LABORATORY INVESTIGATION 93, 380A-380A, 2013 | 1 | 2013 |
| DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness X Li, C Qian, L Glass arXiv preprint arXiv:2305.01770, 2023 | | 2023 |
| Stability Based Generalization Bounds for Exponential Family Langevin Dynamics Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou Proceedings of the 39th International Conference on Machine Learning, 2022 | | 2022 |
| Using Computer Vision to Diagnose Non-Neoplastic Pulmonary Diseases X Li, J Manivel, J Jessurun, N Papanikolopoulos, V Morellas, ... LABORATORY INVESTIGATION 99, 2019 | | 2019 |
| The Use of Computer Vision to Diagnose Squamous Intraepithelial Lesions of the Lower Female Genital Tract X Li, V Morello, NP Papanikolopoulos, AM Truskinovsky LABORATORY INVESTIGATION 97, 399A-399A, 2017 | | 2017 |
| The Use of Computer Vision in the Differential Diagnosis of Ovarian Carcinomas X Li, V Morellas, N Papanikolopoulos, AM Truskinovsky LABORATORY INVESTIGATION 96, 397A-397A, 2016 | | 2016 |
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
