Zobrazeno 1 - 10
of 189 431
pro vyhledávání: '"Grow P"'
Go-or-grow approaches represent a specific class of mathematical models used to describe populations where individuals either migrate or reproduce, but not both simultaneously. These models have a wide range of applications in biology and medicine, c
Externí odkaz:
http://arxiv.org/abs/2412.05191
Autor:
Wyder, Philippe Martin, Bakhda, Riyaan, Zhao, Meiqi, Booth, Quinn A., Modi, Matthew E., Song, Andrew, Kang, Simon, Wu, Jiahao, Patel, Priya, Kasumi, Robert T., Yi, David, Garg, Nihar Niraj, Jhunjhunwala, Pranav, Bhutoria, Siddharth, Tong, Evan H., Hu, Yuhang, Goldfeder, Judah, Mustel, Omer, Kim, Donghan, Lipson, Hod
Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines with limited ability to self-repair, physically develop, or incorpora
Externí odkaz:
http://arxiv.org/abs/2411.11192
Autor:
Kumar, Mrityunjay
India produces about nine hundred thousand (900K) engineers annually, and many seek computer science and related technology jobs. Given that the IT workforce in India is still young, new graduates get jobs only when the industry grows. A liberal esti
Externí odkaz:
http://arxiv.org/abs/2410.20709
We propose a $O(\log k \log n)$-competitive randomized algorithm for online node-weighted Steiner forest. This is essentially optimal and significantly improves over the previous bound of $O(\log^2 k \log n)$ by Hajiaghayi et al. [2017]. In fact, our
Externí odkaz:
http://arxiv.org/abs/2410.18542
Post-training Large Language Models (LLMs) with explicit reasoning trajectories can enhance their reasoning abilities. However, acquiring such high-quality trajectory data typically demands meticulous supervision from humans or superior models, which
Externí odkaz:
http://arxiv.org/abs/2410.02108
Continual Learning (CL) aims to learn in non-stationary scenarios, progressively acquiring and maintaining knowledge from sequential tasks. Recent Prompt-based Continual Learning (PCL) has achieved remarkable performance with Pre-Trained Models (PTMs
Externí odkaz:
http://arxiv.org/abs/2409.18860
Autor:
Toniolo, Daniele, Bose, Sougato
We consider a generic one dimensional spin system of length $ L $, arbitrarily large, with strictly local interactions, for example nearest neighbor, and prove that the dynamical $ \alpha $-R\'enyi entropies, $ 0 < \alpha < 1 $, of an initial product
Externí odkaz:
http://arxiv.org/abs/2408.00743
Knitting turns a one dimensional yarn into a highly ramified three-dimensional structure. As a method of additive manufacturing, it holds promise for a new class of lightweight, ultrastrong materials. Here we present a purely geometric model to predi
Externí odkaz:
http://arxiv.org/abs/2408.08409
In this paper, we present an ultrasound mid-air haptic interaction system that integrates a designed visualization of haptic parameters while maintaining ease of control. The design of corresponding haptic parameters for real-world tactile textures i
Externí odkaz:
http://arxiv.org/abs/2407.15063
Markov decision processes (MDPs) provide a fundamental model for sequential decision making under process uncertainty. A classical synthesis task is to compute for a given MDP a winning policy that achieves a desired specification. However, at design
Externí odkaz:
http://arxiv.org/abs/2407.12552