Recent proposals for quantum generative adversarial networks (GANs) suffer from the issue of mode collapse, analogous to classical GANs, wherein the distribution learnt by the GAN fails to capture the ...
Abstract: Dynamic multiobjective optimization problem (DMOP) denotes the multiobjective optimization problem, which contains objectives that may vary over time. Due to the widespread applications of ...
We are very interested in your work on the SSVP-SLT-LSP framework, particularly the visual encoder pretrained using a method similar to masked autoencoding and language-supervised pretraining on the ...
In machine learning, embeddings are widely used to represent data in a compressed, low-dimensional vector space. They capture the semantic relationships well for performing tasks such as text ...
The Event Horizon Telescope (EHT) provides an avenue to study black hole accretion flows on event-horizon scales. Fitting a semianalytical model to EHT observations requires the construction of ...
Abstract: Following the successes in the fields of vision and language, self-supervised pretraining via masked autoencoding of 3D point set data, or Masked Point Modeling (MPM), has achieved ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
DAMON leverages manifold learning and variational autoencoding to achieve obstacle avoidance, allowing for motion planning through adaptive graph traversal in a pre-learned low-dimensional ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results