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Showing result 1 - 5 of 80 essays matching the above criteria.
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1. On Linear Mode Connectivity up to Permutation of Hidden Neurons in Neural Network : When does Weight Averaging work?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Neural networks trained using gradient-based optimization methods exhibit a surprising phenomenon known as mode connectivity, where two independently trained network weights are not isolated low loss minima in the parameter space. Instead, they can be connected by simple curves along which the loss remains low. READ MORE
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2. Optimization of Radiotherapy Treatment Plans Based on Monte Carlo Dose Computations
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Treatment planning plays a vital role in providing good treatment to cancer patients. In order to reach an adequate treatment plan, the algorithm used for simulating the dose in the patient must model the reality well. READ MORE
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3. Stochastic Frank-Wolfe Algorithm : Uniform Sampling Without Replacement
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The Frank-Wolfe (FW) optimization algorithm, due to its projection free property, has gained popularity in recent years with typical application within the field of machine learning. In the stochastic setting, it is still relatively understudied in comparison to the more expensive projected method of Stochastic Gradient Descent (SGD). READ MORE
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4. Optimizing First-Order Method Parameters via Differentiation of the Performance Estimation Problem
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis treats the problem of finding optimal parameters for first-order optimization methods. In part, we use the Performance Estimation Problem (PEP), a framework for convergence analysis of first-order optimization methods. READ MORE
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5. Adjoint optimization of a liquid-cooled heat sink
University essay from KTH/Teknisk mekanikAbstract : Improving the design of flow channels in a liquid-cooled heat sink is critical for boosting the capabilities of electronic components as well as reducing energy usage by the pump. This work explores the use of topology optimization to minimize the pressure difference across a heat sink and consequently, the energy used to supply the liquid. READ MORE