Engineers often use vision-language models to produce new designs, such as airplane or automobile components. To simulate how ...
We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...
Recent advancements in sparse-view 3D reconstruction have focused on novel view synthesis and scene representation techniques. Methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting ...
While significant strides have been made in predicting static protein structures, understanding protein dynamics, influenced by ligands, is essential for grasping protein function and advancing drug ...
To solve the problem of bolt defects in unmanned aerial vehicle inspection that are difficult to identify quickly and accurately, this paper proposes a defect detection method based on the improved ...
We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both ...
We present three possible strategies to effectively incorporate geological and/or geophysical constraints into deep neural networks (DNNs). They help address the main challenges of poor ...
CALVIN won the 2022 IEEE Robotics and Automation Letters (RA-L) Best Paper Award! If you want to get started without downloading the whole dataset, use the argument ...