Sökning: "generative models"
Visar resultat 1 - 5 av 62 avhandlingar innehållade orden generative models.
1. Sampling from molecular unnormalized distributions with Deep Generative Models
Sammanfattning : This thesis investigates how Deep Generative Models (DGMs) can address important drug discovery problems involving sampling from unnormalized distributions. It consists of two papers focusing on this challenge’s aspects: molecular design and conformational sampling. LÄS MER
2. Probabilistic Sequence Models with Speech and Language Applications
Sammanfattning : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. LÄS MER
3. Statistical inference with deep latent variable models
Sammanfattning : Finding a suitable way to represent information in a dataset is one of the fundamental problems in Artificial Intelligence. With limited labeled information, unsupervised learning algorithms help to discover useful representations. LÄS MER
4. Generative models of limit order books
Sammanfattning : In this thesis generative models in machine learning are developed with the overall aim to improve methods for algorithmic trading on high-frequency electronic exchanges based on limit order books. The thesis consists of two papers. LÄS MER
5. Generative Design Exploration : Computation and Material Practice
Sammanfattning : Today, computation serves as an important intermediary agent for the integration of analyses and the constraints of materialisation into design processes. Research efforts in the field have emphasised digital continuity and conformity between different aspects of a building project. LÄS MER