Essays about: "variational autoencoder"

Showing result 16 - 20 of 60 essays containing the words variational autoencoder.

  1. 16. An empirical comparison of generative capabilities of GAN vs VAE

    University essay from KTH/Datavetenskap

    Author : Norma Cristina Cueto Ceilis; Hanna Peters; [2022]
    Keywords : ;

    Abstract : Generative models are a family of machine learning algorithms that are aspire to enable computers to understand the real world. Their capability to understand the underlying distribution of data enables them to generate synthetic data from the data they are trained on. READ MORE

  3. 17. Distance preserving Fermat VAE

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

    Author : Miklovana Tuci; [2022]
    Keywords : ;

    Abstract : Deep neural networks takes their strength in the representations, or features, that they internally build. While these internal encodings help networks performing classification or regression tasks on specific data types, it exists a branch of machine learning that has for only purpose to build these representations. READ MORE

  4. 18. Recommendation Engine via Flexible Latent Explorations : Adaptation of Variational Autoencoders for Telecom domain

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

    Author : Aliaksandr Samson; [2022]
    Keywords : ;

    Abstract : While consumers get a lot of benefits with new generations of cellular networks, there is an increasing demand of reducing the energy consumption of telecom nodes. Finding optimal telecom node configurations usually results in network performance degradation. READ MORE

  5. 19. Data-Driven Motion Planning : With Application for Heavy Duty Vehicles

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

    Author : Oscar Palfelt; [2022]
    Keywords : Motion planning; Deep learning; Autonomous driving; Nonuniform sampling; Rörelseplanering; Djupinlärning; Autonom körning; Ojämn provtagning;

    Abstract : Motion planning consists of finding a feasible path of an object between an initial state and a goal state, and commonly constitutes a sub-system of a larger autonomous system. Motion planners that utilize sampling-based algorithms create an implicit representation of the search space via sampling said search space. READ MORE

  6. 20. Representation learning for single cell morphological phenotyping

    University essay from Umeå universitet/Institutionen för fysik

    Author : Andreas Nenner; [2022]
    Keywords : Deep learning; Image-based profiling;

    Abstract : Preclinical research for developing new drugs is a long and expensive procedure. Experiments relying on image acquisition and analysis tend to be low throughput and use reporter systems that may influence the studied cells. READ MORE