Copertina

Strategies for Pretraining Neural Operators

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Anthony, Lorsung, Cooper, Hemmasian, AmirPouya, Farimani, Amir Barati
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Pretraining a Neural Operator in Lower Dimensions
di: Hemmasian, AmirPouya, et al.
Pubblicazione: (2024)

Multi-scale Time-stepping of Partial Differential Equations with Transformers
di: Hemmasian, AmirPouya, et al.
Pubblicazione: (2023)

Coupled Diffusion-Encoder Models for Reconstruction of Flow Fields
di: Hemmasian, AmirPouya, et al.
Pubblicazione: (2026)

Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text
di: Lorsung, Cooper, et al.
Pubblicazione: (2024)

PICL: Physics Informed Contrastive Learning for Partial Differential Equations
di: Lorsung, Cooper, et al.
Pubblicazione: (2024)

Surrogate Modeling of Melt Pool Thermal Field using Deep Learning
di: Hemmasian, AmirPouya, et al.
Pubblicazione: (2022)

Physics Informed Token Transformer for Solving Partial Differential Equations
di: Lorsung, Cooper, et al.
Pubblicazione: (2023)

FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
di: Zhou, Anthony, et al.
Pubblicazione: (2023)

Pretraining Strategy for Neural Potentials
di: Zhang, Zehua, et al.
Pubblicazione: (2024)

Hamiltonian Neural PDE Solvers through Functional Approximation
di: Zhou, Anthony, et al.
Pubblicazione: (2025)

Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates
di: Zhou, Anthony, et al.
Pubblicazione: (2024)

BlastOFormer: Attention and Neural Operator Deep Learning Methods for Explosive Blast Prediction
di: Graves, Reid, et al.
Pubblicazione: (2025)

Masked Autoencoders are PDE Learners
di: Zhou, Anthony, et al.
Pubblicazione: (2024)

Generative Neural Operators through Diffusion Last Layer
di: Park, Sungwon, et al.
Pubblicazione: (2026)

Generative Latent Neural PDE Solver using Flow Matching
di: Li, Zijie, et al.
Pubblicazione: (2025)

VITaL Pretraining: Visuo-Tactile Pretraining for Tactile and Non-Tactile Manipulation Policies
di: George, Abraham, et al.
Pubblicazione: (2024)

Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models
di: Shu, Dule, et al.
Pubblicazione: (2024)

AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing
di: Pak, Peter, et al.
Pubblicazione: (2025)

AdditiveLLM2: A Multi-modal Large Language Model for Additive Manufacturing
di: Pak, Peter, et al.
Pubblicazione: (2026)

LinkD: AutoRegressive Diffusion Model for Mechanical Linkage Synthesis
di: Jadhav, Yayati, et al.
Pubblicazione: (2026)

Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation
di: Graves, Reid, et al.
Pubblicazione: (2024)

From Natural Language to Materials Discovery:The Materials Knowledge Navigation Agent
di: Zhuang, Genmao, et al.
Pubblicazione: (2026)

Discovery of Spatter Constitutive Models in Additive Manufacturing Using Machine Learning
di: Ajenifujah, Olabode T., et al.
Pubblicazione: (2025)

Large Language Model Agent as a Mechanical Designer
di: Jadhav, Yayati, et al.
Pubblicazione: (2024)

BAPULM: Binding Affinity Prediction using Language Models
di: Meda, Radheesh Sharma, et al.
Pubblicazione: (2024)

CaFA: Global Weather Forecasting with Factorized Attention on Sphere
di: Li, Zijie, et al.
Pubblicazione: (2024)

Reframing Generative Models for Physical Systems using Stochastic Interpolants
di: Zhou, Anthony, et al.
Pubblicazione: (2025)

Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision
di: Shah, Aayush, et al.
Pubblicazione: (2024)

Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis
di: Vinchurkar, Tirtha, et al.
Pubblicazione: (2024)

RheOFormer: A generative transformer model for simulation of complex fluids and flows
di: Saberi, Maedeh, et al.
Pubblicazione: (2025)

Agentic Additive Manufacturing Alloy Evaluation
di: Pak, Peter, et al.
Pubblicazione: (2025)

NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research
di: Chandrasekhar, Achuth, et al.
Pubblicazione: (2025)

LLM-3D Print: Large Language Models To Monitor and Control 3D Printing
di: Jadhav, Yayati, et al.
Pubblicazione: (2024)

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
di: Zhou, Anthony, et al.
Pubblicazione: (2024)

Image2Gcode: Image-to-G-code Generation for Additive Manufacturing Using Diffusion-Transformer Model
di: Wang, Ziyue, et al.
Pubblicazione: (2025)

Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials
di: Han, Kevin, et al.
Pubblicazione: (2026)

Inpainting Computational Fluid Dynamics with Deep Learning
di: Shu, Dule, et al.
Pubblicazione: (2024)

AlloyBERT: Alloy Property Prediction with Large Language Models
di: Chaudhari, Akshat, et al.
Pubblicazione: (2024)

Query2CAD: Generating CAD models using natural language queries
di: Badagabettu, Akshay, et al.
Pubblicazione: (2024)

Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties
di: Badrinarayanan, Srivathsan, et al.
Pubblicazione: (2024)