Essays about: "Topological machine learning"

Showing result 1 - 5 of 8 essays containing the words Topological machine learning.

1. 1. Topological regularization and relative latent representations

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

   Author : Alejandro García Castellanos; [2023]
   Keywords : Algebraic Topology; Large Language Models; Relative Representation; Representation Learning; Model Stitching; Topological DataAnalysis; Zero-shot; Algebraisk topologi; Stora språkmodeller; Relativ representation; Representationsinlärning; Modell sömmar; Topologisk dataanalys; Zero-shot;

   Abstract : This Master's Thesis delves into the application of topological regularization techniques and relative latent representations within the realm of zero-shot model stitching. Building upon the prior work of Moschella et al. READ MORE

3. 2. Towards topology-aware Variational Auto-Encoders : from InvMap-VAE to Witness Simplicial VAE

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

   Author : Aniss Aiman Medbouhi; [2022]
   Keywords : Variational Auto-Encoder; Nonlinear dimensionality reduction; Generative model; Inverse projection; Computational topology; Algorithmic topology; Topological Data Analysis; Data visualisation; Unsupervised representation learning; Topological machine learning; Betti number; Simplicial complex; Witness complex; Simplicial map; Simplicial regularization.; Variations autokodare; Ickelinjär dimensionalitetsreducering; Generativ modell; Invers projektion; Beräkningstopologi; Algoritmisk topologi; Topologisk Data Analys; Datavisualisering; Oövervakat representationsinlärning; Topologisk maskininlärning; Betti-nummer; Simplicielt komplex; Vittneskomplex; Simpliciel avbildning; Simpliciel regularisering.;

   Abstract : Variational Auto-Encoders (VAEs) are one of the most famous deep generative models. After showing that standard VAEs may not preserve the topology, that is the shape of the data, between the input and the latent space, we tried to modify them so that the topology is preserved. READ MORE

4. 3. Topological recursive fitting trees : A framework for interpretable regression extending decision trees

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

   Author : Alexandre Tadros; [2020]
   Keywords : ;

   Abstract : Many real-world machine learning applications need interpretation of an algorithm output. The simplicity of some of the most fundamental machine learning algorithms for regression, such as linear regression or decision trees, facilitates interpretation. However, they fall short when facing complex (e.g. READ MORE

5. 4. Predicting network performancein IoT environments using LSTM

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Wietze Schelhaas; [2020]
   Keywords : ;

   Abstract : There are still many problems that need to be solved with Internet of Things (IoT) technology, one of them being performance assurance. To ensure a certain quality of service in an IoT environment, the network has to be monitored and actively measured. READ MORE

6. 5. Reconstruction of challenging signatures characteristic to new physics beyond the Standard Model

   University essay from Uppsala universitet/Högenergifysik

   Author : Timmy Lindgren; [2020]
   Keywords : Reconstruction; Identification; photon-jets; ATLAS;

   Abstract : A study of photon-jets and their identification variables computed in the electromagnetic calorimeter of an in-house, ATLAS-like, detector model developed at Uppsala University for full-simulations is presented. The signal, which is based on the Composite Higgs Model, considers the pair production of vector-like top quarks, denoted t', with the successive decays t' to S and a Standard Model top quark and S to two photons, where S is a new pseudo-scalar boson. READ MORE