Zobrazeno 1 - 10
of 32 213
pro vyhledávání: '"Evolutionary computing"'
Autor:
Ruggeri, Federico, Signorelli, Gaetano
A popular end-to-end architecture for selective rationalization is the select-then-predict pipeline, comprising a generator to extract highlights fed to a predictor. Such a cooperative system suffers from suboptimal equilibrium minima due to the domi
Externí odkaz:
http://arxiv.org/abs/2412.10312
Autor:
Zhang, Weixiang, Xie, Shuzhao, Ren, Chengwei, Xie, Siyi, Tang, Chen, Ge, Shijia, Wang, Mingzi, Wang, Zhi
We propose EVOlutionary Selector (EVOS), an efficient training paradigm for accelerating Implicit Neural Representation (INR). Unlike conventional INR training that feeds all samples through the neural network in each iteration, our approach restrict
Externí odkaz:
http://arxiv.org/abs/2412.10153
Graph neural networks (GNNs) with unsupervised learning can solve large-scale combinatorial optimization problems (COPs) with efficient time complexity, making them versatile for various applications. However, since this method maps the combinatorial
Externí odkaz:
http://arxiv.org/abs/2412.09860
Difference-of-Convex Algorithm (DCA) is a well-known nonconvex optimization algorithm for minimizing a nonconvex function that can be expressed as the difference of two convex ones. Many famous existing optimization algorithms, such as SGD and proxim
Externí odkaz:
http://arxiv.org/abs/2412.09853
Next-generation reservoir computing (NG-RC) has attracted much attention due to its excellent performance in spatio-temporal forecasting of complex systems and its ease of implementation. This paper shows that NG-RC can be encoded as a kernel ridge r
Externí odkaz:
http://arxiv.org/abs/2412.09800
Autor:
Xie, Yudi, Huang, Weichen, Alter, Esther, Schwartz, Jeremy, Tenenbaum, Joshua B., DiCarlo, James J.
Studies of the functional role of the primate ventral visual stream have traditionally focused on object categorization, often ignoring -- despite much prior evidence -- its role in estimating "spatial" latents such as object position and pose. Most
Externí odkaz:
http://arxiv.org/abs/2412.09115
Autor:
Kumar, Kandula Eswara Sai, S, Supreeth B, Dalvi, Rajas, Mittal, Aman, Akhtar, Aakif, Bosco, Ferdin Don, Lineswala, Rut, Chopra, Abhishek
This article presents a comparative analysis of GPU-parallelized implementations of the quantum-inspired evolutionary optimization (QIEO) approach and one of the well-known classical metaheuristic techniques, the genetic algorithm (GA). The study ass
Externí odkaz:
http://arxiv.org/abs/2412.08992
Artificial General Intelligence (AGI), widely regarded as the fundamental goal of artificial intelligence, represents the realization of cognitive capabilities that enable the handling of general tasks with human-like proficiency. Researchers in brai
Externí odkaz:
http://arxiv.org/abs/2412.08875
Autor:
Holmes, Andrew, Jensen, Matt, Coffland, Sarah, Shen, Hidemi Mitani, Sizemore, Logan, Bassetti, Seth, Nieva, Brenna, Tebaldi, Claudia, Snyder, Abigail, Hutchinson, Brian
The Global Change Analysis Model (GCAM) simulates complex interactions between the coupled Earth and human systems, providing valuable insights into the co-evolution of land, water, and energy sectors under different future scenarios. Understanding t
Externí odkaz:
http://arxiv.org/abs/2412.08850
Neuromorphic applications emulate the processing performed by the brain by using spikes as inputs instead of time-varying analog stimuli. Therefore, these time-varying stimuli have to be encoded into spikes, which can induce important information los
Externí odkaz:
http://arxiv.org/abs/2412.08816