Summary of A Kolmogorov Metric Embedding For Live Cell Microscopy Signaling Patterns, by Layton Aho et al.
A Kolmogorov metric embedding for live cell microscopy signaling patternsby Layton Aho, Mark Winter, Marc…
Summary of Towards An Adaptable and Generalizable Optimization Engine in Decision and Control: a Meta Reinforcement Learning Approach, by Sungwook Yang et al.
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning…
Summary of Structured Matrix Learning Under Arbitrary Entrywise Dependence and Estimation Of Markov Transition Kernel, by Jinhang Chai et al.
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernelby Jinhang Chai,…
Summary of Image-based Deep Learning For Smart Digital Twins: a Review, by Md Ruman Islam et al.
Image-based Deep Learning for Smart Digital Twins: a Reviewby Md Ruman Islam, Mahadevan Subramaniam, Pei-Chi…
Summary of Branched Variational Autoencoder Classifiers, by Ahmed Salah and David Yevick
Branched Variational Autoencoder Classifiersby Ahmed Salah, David YevickFirst submitted to arxiv on: 4 Jan 2024CategoriesMain:…
Summary of Novel End-to-end Production-ready Machine Learning Flow For Nanolithography Modeling and Correction, by Mohamed S. E. Habib et al.
Novel End-to-End Production-Ready Machine Learning Flow for Nanolithography Modeling and Correctionby Mohamed S. E. Habib,…
Summary of Contrast: Continual Multi-source Adaptation to Dynamic Distributions, by Sk Miraj Ahmed et al.
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributionsby Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang,…
Summary of Hyperparameter Estimation For Sparse Bayesian Learning Models, by Feng Yu and Lixin Shen and Guohui Song
Hyperparameter Estimation for Sparse Bayesian Learning Modelsby Feng Yu, Lixin Shen, Guohui SongFirst submitted to…
Summary of Long-term Fairness For Real-time Decision Making: a Constrained Online Optimization Approach, by Ruijie Du et al.
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approachby Ruijie Du, Deepan Muthirayan,…
Summary of T-dgr: a Trajectory-based Deep Generative Replay Method For Continual Learning in Decision Making, by William Yue et al.
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Makingby William Yue,…