MIT Theses: Recent submissions
Now showing items 49-51 of 65132
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Advancing Ubiquitous Tactile Sensing through Comprehensive Tooling for Resistive Matrix-Based Sensors
(Massachusetts Institute of Technology, 2025-09)Resistive matrix-based tactile sensors offer a scalable and intuitive approach to capturing human-environment interactions, yet deploying them in real-world systems remains challenging because they must remain portable, ... -
Topics in Geometric Machine Learning
(Massachusetts Institute of Technology, 2025-09)Recent advances and the widespread adoption of neural networks have revolutionized machine learning and artificial intelligence. These developments demand learning paradigms capable of processing data from diverse applications ... -
Quantization Methods for Matrix Multiplication and Efficient Transformers
(Massachusetts Institute of Technology, 2025-09)We study quantization in Machine Learning. First, we introduce NestQuant — a technique for quantization of matrix products and post-training quantization of LLMs. Beyond reducing the memory footprint, quantization accelerates ...


