Zobrazeno 1 - 10
of 1 215
pro vyhledávání: '"Gutiérrez, Ricardo"'
Autor:
Gutierrez, Ricardo, Hoagg, Jesse B.
This article presents a closed-form adaptive controlbarrier-function (CBF) approach for satisfying state constraints in systems with parametric uncertainty. This approach uses a sampled-data recursive-least-squares algorithm to estimate the unknown m
Externí odkaz:
http://arxiv.org/abs/2411.12899
Autor:
Gutierrez, Ricardo, Cuerno, Rodolfo
Publikováno v:
Phys. Rev. E 110, L052201 (2024)
Systems of oscillators subject to time-dependent noise typically achieve synchronization for long times when their mutual coupling is sufficiently strong. The dynamical process whereby synchronization is reached can be thought of as a growth process
Externí odkaz:
http://arxiv.org/abs/2407.15634
Autor:
Naug, Avisek, Guillen, Antonio, Gutierrez, Ricardo Luna, Gundecha, Vineet, Ghorbanpour, Sahand, Mousavi, Sajad, Babu, Ashwin Ramesh, Sarkar, Soumyendu
There have been growing discussions on estimating and subsequently reducing the operational carbon footprint of enterprise data centers. The design and intelligent control for data centers have an important impact on data center carbon footprint. In
Externí odkaz:
http://arxiv.org/abs/2404.12498
Autor:
Gutiérrez, Ricardo, Cuerno, Rodolfo
Publikováno v:
Phys. Rev. Research 6, 033324 (2024)
The time-dependent process whereby one-dimensional systems of self-sustained oscillators synchronize is shown to display scale invariance in space and time, akin to that found in the dynamics of equilibrium critical phenomena. Remarkably, the process
Externí odkaz:
http://arxiv.org/abs/2311.13253
Autor:
Mousavi, Sajad, Gutiérrez, Ricardo Luna, Rengarajan, Desik, Gundecha, Vineet, Babu, Ashwin Ramesh, Naug, Avisek, Guillen, Antonio, Sarkar, Soumyendu
Publikováno v:
NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models 2023(NeurIPS 2023)
We propose a self-correction mechanism for Large Language Models (LLMs) to mitigate issues such as toxicity and fact hallucination. This method involves refining model outputs through an ensemble of critics and the model's own feedback. Drawing inspi
Externí odkaz:
http://arxiv.org/abs/2310.18679
Autor:
Shmakov, Alexander, Naug, Avisek, Gundecha, Vineet, Ghorbanpour, Sahand, Gutierrez, Ricardo Luna, Babu, Ashwin Ramesh, Guillen, Antonio, Sarkar, Soumyendu
Bayesian Optimization (BO), guided by Gaussian process (GP) surrogates, has proven to be an invaluable technique for efficient, high-dimensional, black-box optimization, a critical problem inherent to many applications such as industrial design and s
Externí odkaz:
http://arxiv.org/abs/2310.03912
Autor:
Naug, Avisek, Guillen, Antonio, Gutiérrez, Ricardo Luna, Gundecha, Vineet, Markovikj, Dejan, Kashyap, Lekhapriya Dheeraj, Krause, Lorenz, Ghorbanpour, Sahand, Mousavi, Sajad, Babu, Ashwin Ramesh, Sarkar, Soumyendu
Publikováno v:
2023 BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
The increasing global emphasis on sustainability and reducing carbon emissions is pushing governments and corporations to rethink their approach to data center design and operation. Given their high energy consumption and exponentially large computat
Externí odkaz:
http://arxiv.org/abs/2310.03906
Publikováno v:
Phys. Rev. Lett. 131, 227201 (2023)
Dynamical fluctuations or rare events associated with atypical trajectories in chaotic maps due to specific initial conditions can crucially determine their fate, as the may lead to stability islands or regions in phase space otherwise displaying unu
Externí odkaz:
http://arxiv.org/abs/2304.13754
Autor:
Gutiérrez, Ricardo, Cuerno, Rodolfo
Publikováno v:
Phys. Rev. Research 5, 023047 (2023)
The synchronization of oscillator ensembles is pervasive throughout nonlinear science, from classical or quantum mechanics to biology, to human assemblies. Traditionally, the main focus has been the identification of threshold parameter values for th
Externí odkaz:
http://arxiv.org/abs/2210.03782