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- Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, ...
- [NeurIPS 2022] VectorAdam for Rotation Equivariant Geometry Optimization
- Abstract: We introduce a representation learning framework for spatial trajectories. We represent partial observations of ...
- In this paper, we propose a neural network-based approach for learning to represent the behavior of plastic solid materials ...
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Video presentation for This is the prerecorded talk for the Generate a large-scale, consistent, and realistic 3D world from a single RGB-D image? Yes with SGAM(SLAM with a G) Check our ...
Overview video for the paper "Reconstructing Training Data from Trained Neural Networks" by Niv Haim, Gal Vardi, Gilad Yehudai ...
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