Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Energy Based Models"”.
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Casting Protein Structure Predictors as Energy-Based Models for Binder Design and Scoring
… design has been transformed by hallucination-based methods that optimize structure prediction confidence metrics, such as the interface predicted TM-score (ipTM), via backpropagation. However, these metrics are imperfect proxies for binding affinity and do not reflect the statistical …
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Compositional visual generation with energy-based modeling
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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Toward more scalable structured models
… biology and physical sciences, training such models is known to require significant amounts of data. One possible reason is that the structural properties of the data and problem are not modeled explicitly. Effectively exploiting the structure can help build more efficient and performing …
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Are Particle-Based Methods the Future of Sampling in Joint Energy Models? A Deep Dive into SVGD and SGLD
… Variational Gradient Descent (SVGD) with Joint Energy Models (JEMs), comparing its performance to Stochastic Gradient Langevin Dynamics (SGLD). We incorporated a generative loss term with an entropy component to enhance diversity and a smoothing factor to mitigate numerical instability issues …
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Learning to Coordinate Efficiently through Multiagent Soft Q-Learning in the presence of Game-Theoretic Pathologies
… and modern strategies of training and evaluating energy-based models on learning to get a sense of whether the pitfall is due to sampling inefficiencies or underlying assumptions of the multiagent soft Q-learning extension (MASQL). We use the word sampler to refer to mechanisms that allow one to …
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Optimizing Decision-Making under Uncertainty -- A Data-Driven Perspective
… logistics routes to scheduling renewable energy generation and distributing vaccines. These complex problems are typically framed as mathematical optimization problems, where decision-makers seek the best action from a set of alternatives under given constraints. However, unique challenges …
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Stability of Beams, Plates and Membranes due to Subsonic Aerodynamic Flows and Solar Radiation Pressure
… in more complex structures. The theoretical models include both linear and nonlinear energy based models for the structural dynamics of the featureless rectangular structures. The structural models are coupled to a vortex lattice model for subsonic fluid flows or an optical reflection model …
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Tabular Machine Learning on Small-Size and High-Dimensional Data
… improve the generalisation of machine learning models on small-size and high-dimensional tabular datasets. Tabular data – tables where each row represents an individual record and each column represents features – is ubiquitous in critical fields such as medicine, scientific research and …
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A flexible fine-grained adaptive framework for parallel mobile hybrid cloud applications
… increasing amount of computational power and energy. With cloud computing providing unlimited elastic on-demand resources, supporting mobile devices with cloud allows overcoming limitations of mobile devices. This is generally known as Mobile Cloud Computing (MCC) and can be achieved through …