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    • Inhaltsbereich

    Interaction between Light and Matter

    Seminar: Advance topics of machine learning

    Winter Semester 2020/21
    Dr. Dirk-André Deckert

    Room: ZOOM Time: Thursdays, 16-18h

    This seminar is intended to be a topical continuation of last semester's introductory course material "Mathematic(al Statistic)s and Applications of Machine Learning". Topics will be discussed, decided and assigned during the first meeting. They will have an emphasis on mathematics and applications and, depending on interest and background, may range from classic to modern literature including, e.g., PAC framework, generalization bounds, approximation & representation, artificial/convolutional/spiking/recurrent and generative adversarial networks, approximation & representation & optimization, deep learning, boosting, probabilistic/causal reasoning, Haar cascades, landmark detection, natural language processing, vector embeddings, etc... Please prepare topic suggestions.

    Talks
    Date Speaker Topics Slides
    19.11.20 Niklas Weber Word2Vec PDF, IPYNB
    26.11.20 Henry Kleinedam Reinforcement learning PDF
    03.12.20 Yannick Limmer Bayesian Statistics and Bayesian Networks PDF
    10.12.20 Simon Heydrowsky Cluster Analysis PDF
    17.12.20 Florian Geys Decision Trees PDF
    07.01.21 Cornelius Schwab Dimensionality reduction PDF
    14.01.21 Hares Khalilzad Bahadori Haar Cascades PDF
    21.01.21 Jago Silberbauer Generative Adversarial Networks PDF
    28.01.21 Christian Rehpenn Auto-encoder PDF
    04.02.21 Jakob Ullmann Approximation Theory PDF