Browsing by Subject Machine learning
Showing results 1 to 20 of 20
| Issue Date | Title | Author(s) |
| 2020 | Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare | AKMANDOR, AYTEN OZGE |
| 2018 | Analysis of gas-particle flows through multi-scale simulations | Gu, Yile |
| 2019 | Bayesian Techniques for Finding and Characterizing Variable Stars: Application to the Hungarian-made Automated Telescope Surveys | Hoffman, John |
| 2022 | Connectivity inference for petascale neural circuit reconstruction | Turner, Nicholas L |
| 26-Jul-2022 | Data from "Liquid-liquid transition in water from first principles" | Gartner, Thomas |
| 2024 | Differentiable Programming for Computational Plasma Physics | McGreivy, Nicholas Bradley |
| 2021 | Energy-Efficient Implementation of Machine Learning Algorithms | Lu, Jie (Lucy) |
| 2024 | Improving choice by automatically restructuring decision environments | Hardy, Mathew David |
| 2023 | Investigating Persuasiveness in Large Language Models | Ekpo, Promise Osaine |
| 2022 | Machine Learning-based Efficient and Generalizable Cybersecurity Frameworks | Saha, Tanujay |
| 2023 | Macroeconomics and Heterogeneous Reality with Machine Learning | Yang, Yucheng |
| 2020 | Mathematical Theory of Neural Network Models for Machine Learning | Ma, Chao |
| 2019 | Noninvasive glucose monitoring: New opportunities opened by mid-infrared quantum cascade laser spectroscopy | Werth, Alexandra Margot |
| 2023 | On Systems of Dynamic Graphs: Theory and Applications | Dabke, Devavrat Vivek |
| 2018 | Privacy-Preserving Machine Learning via Data Compression & Differential Privacy | Chanyaswad, Thee |
| 2021 | Risk Budgeting Portfolios Under a Modern Optimization and Machine Learning Lens | Uysal, Sinem |
| 2023 | Survival Analysis in Distributed and High-Dimensional Environments and Theory of Cross-Validation | Bayle, Pierre |
| 2015 | Synthetic Diversification, Smart Randomization, and Commodity Indexing | Goer, Maximilian Andreas Hubertus |
| 2023 | The Role Of Nonparametric Inference In Computational Models Of Categorization And Analogy | Battleday, Ruairidh McLennan |
| 2022 | Towards Understanding Self-Supervised Representation Learning | Saunshi, Nikunj Umesh |