FGM optimization in complex domains using Gaussian process regression based profile generation algorithm

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Konda, Chaitanya Kumar, Agrawal, Piyush, Srivastava, Shivansh, Agrawal, Manish
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computational Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Efficient FGM optimization with a novel design space and DeepONet
por: Agrawal, Piyush, et al.
Publicado: (2024)

Integrating Gaussian Random Functions with Genetic Algorithms for the Optimization of Functionally Graded Lattice Structures
por: Agrawal, Piyush, et al.
Publicado: (2026)

Quantum-assisted Gaussian process regression using random Fourier features
por: Galvis-Florez, Cristian A., et al.
Publicado: (2025)

Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials
por: Holzenkamp, Matthias, et al.
Publicado: (2024)

A novel data generation scheme for surrogate modelling with deep operator networks
por: Choubey, Shivam, et al.
Publicado: (2024)

Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra
por: Egenlauf, Patrick, et al.
Publicado: (2024)

A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty
por: Agrawal, Atul, et al.
Publicado: (2023)

Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
por: Agrawal, Aryan
Publicado: (2024)

Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes
por: Nelsen, Nicholas H., et al.
Publicado: (2025)

Benchmarking symbolic regression constant optimization schemes
por: Reis, L. G. A dos, et al.
Publicado: (2024)

Beyond Next Word Prediction: Developing Comprehensive Evaluation Frameworks for measuring LLM performance on real world applications
por: Agrawal, Vishakha, et al.
Publicado: (2025)

SCULPT: Systematic Tuning of Long Prompts
por: Kumar, Shanu, et al.
Publicado: (2024)

Optimistic Q-learning for average reward and episodic reinforcement learning
por: Agrawal, Priyank, et al.
Publicado: (2024)

MOSAIC: Modular Opinion Summarization using Aspect Identification and Clustering
por: Singh, Piyush Kumar, et al.
Publicado: (2026)

GPTreeO: An R package for continual regression with dividing local Gaussian processes
por: Braun, Timo, et al.
Publicado: (2024)

Learning signals defined on graphs with optimal transport and Gaussian process regression
por: Perez, Raphaël Carpintero, et al.
Publicado: (2024)

AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability
por: Agrawal, Sudhanshu, et al.
Publicado: (2024)

Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
por: Manzhos, Sergei, et al.
Publicado: (2023)

Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy
por: Agrawal, Neeraj, et al.
Publicado: (2025)

Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
por: Kumar, Saurabh, et al.
Publicado: (2025)

A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
por: Gili, Kaitlin, et al.
Publicado: (2023)

Value Augmented Sampling for Language Model Alignment and Personalization
por: Han, Seungwook, et al.
Publicado: (2024)

Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
por: Agrawal, Raj, et al.
Publicado: (2024)

Gaussian entropic optimal transport: Schrödinger bridges and the Sinkhorn algorithm
por: Akyildiz, O. Deniz, et al.
Publicado: (2024)

Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
por: Dandapanthula, Sanjit, et al.
Publicado: (2026)

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification
por: Makwe, Ansh, et al.
Publicado: (2025)

Addressing LLM Diversity by Infusing Random Concepts
por: Agrawal, Pulin, et al.
Publicado: (2026)

SimpliHuMoN: Simplifying Human Motion Prediction
por: Agrawal, Aadya, et al.
Publicado: (2026)

Dynamic Pricing and Learning with Long-term Reference Effects
por: Agrawal, Shipra, et al.
Publicado: (2024)

Scalable mixed-domain Gaussian process modeling and model reduction for longitudinal data
por: Timonen, Juho, et al.
Publicado: (2021)

Q-learning with Posterior Sampling
por: Agrawal, Priyank, et al.
Publicado: (2025)

Gradient-based optimization for variational empirical Bayes multiple regression
por: Banerjee, Saikat, et al.
Publicado: (2024)

Approximating the Total Variation Distance between Gaussians
por: Bhattacharyya, Arnab, et al.
Publicado: (2025)

Explainable quantum regression algorithm with encoded data structure
por: Wang, C. -C. Joseph, et al.
Publicado: (2023)

Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
por: Agrawal, Shubhada, et al.
Publicado: (2025)

Spoken Language Understanding on Unseen Tasks With In-Context Learning
por: Agrawal, Neeraj, et al.
Publicado: (2025)

CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs
por: Arun, Arvindh, et al.
Publicado: (2023)

Training Language Models via Neural Cellular Automata
por: Lee, Dan, et al.
Publicado: (2026)

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
por: Ahmadi, Saba, et al.
Publicado: (2023)

Comparing Surface Landmine Object Detection Models on a New Drone Flyby Dataset
por: Agrawal-Chung, Navin, et al.
Publicado: (2024)