Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: fastMRI
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-013-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-013-alpha.b-cdn.net
      • sl-yoda-v3-stream-013-beta.b-cdn.net
      • 1668715672.rsc.cdn77.org
      • 1420896597.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            fastMRI
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            fastMRI

            Dec 6, 2020

            Speakers

            LZ

            Lawrence Zitnick

            Sprecher:in · 0 Follower:innen

            Organizer

            N2
            N2

            NeurIPS 2020

            Konto · 11,7k Follower:innen

            Categories

            KI und Datenwissenschaft

            Kategorie · 10,8k Präsentationen

            About NeurIPS 2020

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Exponential Ergodicity of Mirror-Langevin Diffusions
            03:20

            Exponential Ergodicity of Mirror-Langevin Diffusions

            Sinho Chewi, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
            03:23

            Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics

            Alexandros Psomas, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data
            08:11

            Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data

            Ayse S. Cakmak, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Information-theoretic generalization bounds for noisy, iterative learning algorithms
            40:48

            Information-theoretic generalization bounds for noisy, iterative learning algorithms

            Gintare Karolina Dziugaite, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Wasserstein Stability for Persistence Diagrams
            13:21

            Wasserstein Stability for Persistence Diagrams

            Katharine Turner, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Online Matrix factorization for Markovian data
            31:31

            Online Matrix factorization for Markovian data

            Hanbake Lyu, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interested in talks like this? Follow NeurIPS 2020