ddps | physics-enhanced gaussian processes for learning of electromechanical systems |thomas beckers
Published 1 year ago • 1.4K plays • Length 1:14:42Download video MP4
Download video MP3
Similar videos
-
56:25
ddps | physics-based ai-assisted design and control in flexible manufacturing
-
1:10:07
ddps | learning to accelerate large-scale physical simulations in fluid and plasma physics
-
1:15:15
ddps | machine learning and physics-based simulations – yin and yang of industrial digit
-
1:06:26
ddps | differentiable physics simulations for deep learning
-
52:37
ddps | a flexible and generalizable xai framework for scientific deep learning
-
1:02:53
ddps | scientific machine learning through the lens of physics-informed neural networks
-
16:00
learning rigidity-based flocking control using gaussian processes with stability guarantees
-
53:27
ddps | physics-guided deep learning for dynamics forecasting
-
1:06:21
ddps | physics-informed learning for nonlinear dynamical systems
-
56:40
ddps | learning paradigms for neural networks: the locally backpropagated forward-forward algorithm
-
1:03:16
ddps | reduced order modeling and inverse design of flexible structures by machine learning
-
1:02:43
ddps | scaling up ai: embedding physics modeling into end-to-end learning and harnessing projection