Imagen de Portada

VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Noravesh, Farshad, Haffari, Reza, Soon, Layki, Pal, Arghya
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Are Graph Attention Networks Able to Model Structural Information?
por: Noravesh, Farshad, et al.
Publicado: (2025)

LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation
por: Noravesh, Farshad, et al.
Publicado: (2025)

Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks
por: Noravesh, Farshad, et al.
Publicado: (2025)

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
por: Wang, Weiyan, et al.
Publicado: (2025)

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
por: Zhao, Yanjun, et al.
Publicado: (2024)

BioNCERE: Non-Contrastive Enhancement For Relation Extraction In Biomedical Texts
por: Noravesh, Farshad
Publicado: (2024)

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
por: Kim, Jaeyung, et al.
Publicado: (2026)

Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
por: Laine, Rudolf, et al.
Publicado: (2024)

Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
por: Murad, Abdulmajid, et al.
Publicado: (2025)

VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations
por: Zargarbashi, Fatemeh, et al.
Publicado: (2026)

Representation Collapsing Problems in Vector Quantization
por: Zhao, Wenhao, et al.
Publicado: (2024)

VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation
por: Zhai, Linwei, et al.
Publicado: (2026)

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
por: Xu, Chen, et al.
Publicado: (2025)

Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning
por: Zhao, Maosen, et al.
Publicado: (2025)

4bit-Quantization in Vector-Embedding for RAG
por: Jeong, Taehee
Publicado: (2025)

Repurformer: Transformers for Repurposing-Aware Molecule Generation
por: Lee, Changhun, et al.
Publicado: (2024)

Cross-Modality Controlled Molecule Generation with Diffusion Language Model
por: Zhang, Yunzhe, et al.
Publicado: (2025)

Exploring Molecule Generation Using Latent Space Graph Diffusion
por: Pombala, Prashanth, et al.
Publicado: (2025)

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation
por: Zhou, Zhijian, et al.
Publicado: (2025)

TAGMol: Target-Aware Gradient-guided Molecule Generation
por: Dorna, Vineeth, et al.
Publicado: (2024)

Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents
por: Zheng, Haozhuo, et al.
Publicado: (2025)

Arithmetic-Intensity-Aware Quantization
por: Singh, Taig, et al.
Publicado: (2025)

How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training
por: You, Jaeseong, et al.
Publicado: (2024)

Vector Quantization in the Brain: Grid-like Codes in World Models
por: Peng, Xiangyuan, et al.
Publicado: (2025)

Unraveling the Potential of Diffusion Models in Small Molecule Generation
por: Zhang, Peining, et al.
Publicado: (2025)

The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
por: Lu, Heng, et al.
Publicado: (2024)

LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
por: Liu, Zicheng, et al.
Publicado: (2024)

Divide et Calibra: Multiclass Local Calibration via Vector Quantization
por: Barbera, Cesare, et al.
Publicado: (2026)

Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
por: Zhang, Xi, et al.
Publicado: (2025)

Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
por: Luu, Tung M., et al.
Publicado: (2024)

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
por: Tan, Kim Yong, et al.
Publicado: (2025)

Compute-Optimal Quantization-Aware Training
por: Dremov, Aleksandr, et al.
Publicado: (2025)

Graph-Aware Diffusion for Signal Generation
por: Rozada, Sergio, et al.
Publicado: (2025)

Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
por: Tan, Kim Yong, et al.
Publicado: (2025)

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
por: Zhai, Zian, et al.
Publicado: (2025)

FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware Quantization
por: Xiao, Haiyang, et al.
Publicado: (2026)

LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
por: Chang, Jinho, et al.
Publicado: (2024)

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
por: Yoo, YoungJoon, et al.
Publicado: (2023)

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
por: Xu, Can, et al.
Publicado: (2024)

Population Aware Diffusion for Time Series Generation
por: Li, Yang, et al.
Publicado: (2025)