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On the Application of Machine Learning and Physical Modeling Theory to Causal Lifting Linearizations of Nonlinear Dynamical Systems with Exogenous Input and Control
(Massachusetts Institute of Technology, 2021-09)
Methods for constructing causal linear models from nonlinear dynamical systems through lifting linearization underpinned by Koopman operator and physical system modeling theory are presented. Outputs of a nonlinear control ...
Dissection of Deep Neural Networks
(Massachusetts Institute of Technology, 2021-09)
We investigate the role of neurons within the internal computations of deep neural networks for computer vision.
We introduce network dissection, a method for quantifying the alignment between human-interpretable visual ...
Security Research for the Public Good: A Principled Approach
(Massachusetts Institute of Technology, 2021-09)
Recent history is littered with examples of software vendors betraying user trust, exposing the public to exploitable code, data leaks, and invasive privacy practices. Undirected security research may be insufficient for ...
Versatile Biological Sample Preparation Platform using Microfluidic Cell Sorting Device
(Massachusetts Institute of Technology, 2021-09)
Biological assays for various biological samples are often limited by the low purity of target cells/particles due to the presence of significant host background. A spiral inertial microfluidic cell sorting device can be ...
High-Performance Computational Genomics
(Massachusetts Institute of Technology, 2021-09)
Next-generation sequencing data is growing at an unprecedented rate, leading to new revelations in biology, healthcare, and medicine. Many researchers use high-level programming languages to navigate and analyze this data, ...
Estimation and hierarchical control of market-driven electric power systems
(Massachusetts Institute of Technology, 1995)
Automated text recognition
(Massachusetts Institute of Technology, 1993)
Stochastic models for global optimization
(Massachusetts Institute of Technology, 1995)
Locality principles and the acquisition of syntactic knowledge
(Massachusetts Institute of Technology, 1982)
Distributed nonparametric training algorithms for hypothesis testing networks
(Massachusetts Institute of Technology, 1994)