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of 43
pro vyhledávání: '"Shah, Rushi"'
Vector quantization is a technique in machine learning that discretizes continuous representations into a set of discrete vectors. It is widely employed in tokenizing data representations for large language models, diffusion models, and other generat
Externí odkaz:
http://arxiv.org/abs/2411.16550
Discrete representations play a crucial role in many deep learning architectures, yet their non-differentiable nature poses significant challenges for gradient-based optimization. To address this issue, various gradient estimators have been developed
Externí odkaz:
http://arxiv.org/abs/2410.13331
The vector quantization is a widely used method to map continuous representation to discrete space and has important application in tokenization for generative mode, bottlenecking information and many other tasks in machine learning. Vector Quantized
Externí odkaz:
http://arxiv.org/abs/2410.10180
We propose DeepExplorer, a simple and lightweight metric-free exploration method for topological mapping of unknown environments. It performs task and motion planning (TAMP) entirely in image feature space. The task planner is a recurrent network usi
Externí odkaz:
http://arxiv.org/abs/2303.09192
This paper presents a new technique for migrating data between different schemas. Our method expresses the schema mapping as a Datalog program and automatically synthesizes a Datalog program from simple input-output examples to perform data migration
Externí odkaz:
http://arxiv.org/abs/2003.01331
Many programs that interact with a database need to undergo schema refactoring several times during their life cycle. Since this process typically requires making significant changes to the program's implementation, schema refactoring is often non-tr
Externí odkaz:
http://arxiv.org/abs/1904.05498
Autor:
Shah, Rushi1 (AUTHOR) shah.rushiparasbhai@mayo.edu, Polen-De, Clarissa2 (AUTHOR) dec@summahealth.org, McGree, Michaela3 (AUTHOR) mcgree.michaela@mayo.edu, Fought, Angela3 (AUTHOR) fought.angela@mayo.edu, Kumar, Amanika4 (AUTHOR) kumar.amanika@mayo.edu
Publikováno v:
Current Oncology. Nov2023, Vol. 30 Issue 11, p9501-9513. 13p.
Publikováno v:
In Transplantation Reports December 2021 6(4)
Publikováno v:
In Transplantation Proceedings October 2021 53(8):2529-2535
Akademický článek
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