Join us for the upcoming AI Paper Spotlights hosted by Merantix Momentum, where they will share their personal paper highlights from NeurIPS 2023! 🤖
Felix Pieper will be discussing "Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment," providing an alternative to the backpropagation algorithm. Felix, with expertise in machine learning, parallel algorithms, and optimization theory, focuses on representation learning, GNNs, and time series forecasting at Merantix Momentum.
Alma Lindborg will present new methods to enhance image generation speeds and quality using text-to-image diffusion models. With a Ph.D. in mathematical modeling and cognitive neuroscience from the Technical University of Denmark, Alma explores various machine learning problems, from the biomedical domain to creative applications of generative AI.
Maximilian Schambach will delve into Tabular Representation Learning, sharing insights from the TRL workshop and other notable tracks. Coming from a physics background and holding a Ph.D. from the Karlsruhe Institute of Technology, Max specializes in Computational Imaging and deep learning, focusing on practical machine learning applications.
Martin Genzel will present “Towards foundational models for time-series data: How much can LLMs & GenAI help us?” With a Ph.D. in compressed sensing and high-dimensional signal processing from TU Berlin, Martin’s postdoctoral research at Utrecht University and the Helmholtz Centre Berlin centered on deep learning for inverse problems and computational imaging.
Register to join us at the Merantix AI Campus or join us online!
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