Essays about: "Gradient Based Optimization"

Showing result 1 - 5 of 61 essays containing the words Gradient Based Optimization.

  1. 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)

    Author : Adhithyan Kalaivanan; [2023]
    Keywords : Mode Connectivity; Representation Learning; Loss Landscape; Network Symmetry; Lägesanslutning; representationsinlärning; förlustlandskap; nätverkssymmetri;

    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

  3. 2. Optimization of Radiotherapy Treatment Plans Based on Monte Carlo Dose Computations

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Ludvig Håkansson; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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

  4. 3. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marinaro Davide; [2023]
    Keywords : Reinforcement Learning; Single-to-Multi-Agent; Learning Stability; Exploration-Exploitation trade-off; Race Strategy Optimization; Förstärkningsinlärning; Från en till flera agenter; Stabilitet vid inlärning; Utforskning-exploatering; Optimering av tävlingsstrategier;

    Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE

  5. 4. Methods for determining focal point and delay for ultrasound arrays and multichannel electronics

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Svante Rosenlind; [2023]
    Keywords : Focusing algorithms; k-wave; Spatiotemporal inverse filter; Gerchberg- Saxton algorithm; Focused ultrasound; Technology and Engineering;

    Abstract : High intensity focused ultrasound is a growing technique for tissue ablation, among other uses, and given its destructive capabilities, there is a need for control of where the energy is delivered. There exist a number of methods for focusing such ultrasound arrays, but these often assume prior knowledge of the impulse response, or require extensive full-system simulations. READ MORE

  6. 5. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Sharif Noor Zisad; [2023]
    Keywords : Explainable AI; Explainability; Transparency; Belief Rule Based Expert System; Evolutionary Algorithm; Deep Learning;

    Abstract : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. READ MORE