Imagen de Portada

Deep Generative Model for Mechanical System Configuration Design

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Etesam, Yasaman, Cheong, Hyunmin, Ataei, Mohammadmehdi, Jayaraman, Pradeep Kumar
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration
por: Cheong, Hyunmin, et al.
Publicado: (2025)

MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation
por: Bolanos, Diana, et al.
Publicado: (2025)

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks
por: Ataei, Mohammadmehdi, et al.
Publicado: (2025)

RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models
por: Bolanos, Diana, et al.
Publicado: (2025)

Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation
por: Ataei, Mohammadmehdi, et al.
Publicado: (2024)

Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models
por: Balazadeh, Vahid, et al.
Publicado: (2024)

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
por: Doris, Anna C., et al.
Publicado: (2024)

Enhancing the Hierarchical Environment Design via Generative Trajectory Modeling
por: Li, Dexun, et al.
Publicado: (2023)

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform
por: Ataei, Masoud, et al.
Publicado: (2025)

React to This (RTT): A Nonverbal Turing Test for Embodied AI
por: Zhang, Chuxuan, et al.
Publicado: (2025)

XLB: A differentiable massively parallel lattice Boltzmann library in Python
por: Ataei, Mohammadmehdi, et al.
Publicado: (2023)

Identifying General Mechanism Shifts in Linear Causal Representations
por: Chen, Tianyu, et al.
Publicado: (2024)

Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
por: Cho, Hyunmin, et al.
Publicado: (2026)

Feature-to-Image Data Augmentation: Improving Model Feature Extraction with Cluster-Guided Synthetic Samples
por: Haghbin, Yasaman, et al.
Publicado: (2024)

Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
por: Jayaraman, Srideepika, et al.
Publicado: (2026)

A Deep Generative Model for the Design of Synthesizable Ionizable Lipids
por: Ou, Yuxuan, et al.
Publicado: (2024)

PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs
por: Bommireddy, Raviteja, et al.
Publicado: (2026)

Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs
por: Singh, Shreyas, et al.
Publicado: (2025)

RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals
por: Heo, Jaemu, et al.
Publicado: (2025)

Offline Safe Reinforcement Learning Using Trajectory Classification
por: Gong, Ze, et al.
Publicado: (2024)

Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
por: Mueller, Phillip, et al.
Publicado: (2024)

LLMs for Analog Circuit Design Continuum (ACDC)
por: Esfandiari, Yasaman, et al.
Publicado: (2025)

Transformer-Based Interfaces for Mechanical Assembly Design: A Gear Train Case Study
por: Ataei, Mohammadmehdi, et al.
Publicado: (2025)

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
por: Röder, Frank, et al.
Publicado: (2025)

Reward Learning from Best-of-$N$ Preference Data: Targets, Tradeoffs, and Design Principles
por: Pukdee, Rattana, et al.
Publicado: (2026)

Text2Insight: Transform natural language text into insights seamlessly using multi-model architecture
por: Sain, Pradeep
Publicado: (2024)

Eurekaverse: Environment Curriculum Generation via Large Language Models
por: Liang, William, et al.
Publicado: (2024)

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
por: Chen, Tianyu, et al.
Publicado: (2023)

Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision
por: Ataei, Saeid, et al.
Publicado: (2025)

Physics-based simulation ontology: an ontology to support modelling and reuse of data for physics-based simulation
por: Cheong, Hyunmin, et al.
Publicado: (2025)

Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization
por: Zhao, Jie, et al.
Publicado: (2025)

Eureka: Human-Level Reward Design via Coding Large Language Models
por: Ma, Yecheng Jason, et al.
Publicado: (2023)

DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling
por: Wang, Qingyuan, et al.
Publicado: (2024)

Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
por: Sun, Luning, et al.
Publicado: (2025)

Conjugate Learning Theory: Uncovering the Mechanisms of Trainability and Generalization in Deep Neural Networks
por: Qi, Binchuan
Publicado: (2026)

Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network
por: Piroti, Shirwan, et al.
Publicado: (2024)

Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
por: Ma, Hui, et al.
Publicado: (2025)

Toward Reproducible Cross-Backend Compatibility for Deep Learning: A Configuration-First Framework with Three-Tier Verification
por: Li, Zehua
Publicado: (2025)

Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
por: Gong, Jingzhi, et al.
Publicado: (2024)

The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs
por: Chen, Zhiliang, et al.
Publicado: (2026)