Next
Improving Subseasonal Forecasting in the Western U.S.
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Stripping off the implementation complexity of physics-based model predictive control for buildings via deep learning
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-003-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-003-alpha.b-cdn.net
      • sl-yoda-v2-stream-003-beta.b-cdn.net
      • 1544410162.rsc.cdn77.org
      • 1005514182.rsc.cdn77.org
      • Subtitles
      • Off
      • English (auto-generated)
      • English (United States)
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Stripping off the implementation complexity of physics-based model predictive control for buildings via deep learning
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Stripping off the implementation complexity of physics-based model predictive control for buildings via deep learning

            Dec 14, 2019

            Speakers

            DV

            Draguna Vrabie

            Speaker · 0 followers

            Organizer

            N2
            N2

            NIPS 2019

            Account · 963 followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            Civil & Architectural Engineering

            Category · 56 presentations

            About NIPS 2019

            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

            Contributed talk: Measure Valued Derivatives for Approximate Bayesian Inference
            11:09

            Contributed talk: Measure Valued Derivatives for Approximate Bayesian Inference

            Michael Figurnov

            N2
            N2
            NIPS 2019 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            i-RIM applied to the fastMRI challenge
            09:33

            i-RIM applied to the fastMRI challenge

            Patrick Putzky

            N2
            N2
            NIPS 2019 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Q&A from the Audience. Ask the Grad Students: Cross-disciplinary research experiences and tips for Graduate School Admissions
            26:12

            Q&A from the Audience. Ask the Grad Students: Cross-disciplinary research experiences and tips for Graduate School Admissions

            Erin Grant, …

            N2
            N2
            NIPS 2019 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Spotlights
            20:33

            Spotlights

            Angeliki Lazaridou, …

            N2
            N2
            NIPS 2019 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Contributed talk: Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
            12:26

            Contributed talk: Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning

            Carlos Florensa, …

            N2
            N2
            NIPS 2019 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Contributed Talk: TP-N2F: Tensor Product Representation for Natural To Formal Language Generation
            15:02

            Contributed Talk: TP-N2F: Tensor Product Representation for Natural To Formal Language Generation

            Kezhen Chen

            N2
            N2
            NIPS 2019 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow NIPS 2019