Saved in:
| Main Authors: | Wu, Hanlin, Song, Yuxuan, Gong, Jingjing, Cao, Ziyao, Ouyang, Yawen, Zhang, Jianbing, Zhou, Hao, Ma, Wei-Ying, Liu, Jingjing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.02016 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
by: Song, Yuxuan, et al.
Published: (2024)
by: Song, Yuxuan, et al.
Published: (2024)
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
by: Qiu, Keyue, et al.
Published: (2024)
by: Qiu, Keyue, et al.
Published: (2024)
C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction
by: Liu, Yuting, et al.
Published: (2025)
by: Liu, Yuting, et al.
Published: (2025)
CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
by: Dai, Weinan, et al.
Published: (2026)
by: Dai, Weinan, et al.
Published: (2026)
DCFold: Efficient Protein Structure Generation with Single Forward Pass
by: Zhang, Zhe, et al.
Published: (2026)
by: Zhang, Zhe, et al.
Published: (2026)
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
by: Liu, Qingxiang, et al.
Published: (2024)
by: Liu, Qingxiang, et al.
Published: (2024)
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
by: Ma, Xin, et al.
Published: (2024)
by: Ma, Xin, et al.
Published: (2024)
Steering Protein Family Design through Profile Bayesian Flow
by: Gong, Jingjing, et al.
Published: (2025)
by: Gong, Jingjing, et al.
Published: (2025)
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
by: Qiu, Keyue, et al.
Published: (2025)
by: Qiu, Keyue, et al.
Published: (2025)
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
by: Luo, Jiamin, et al.
Published: (2024)
by: Luo, Jiamin, et al.
Published: (2024)
Gradient Flow Drifting: Generative Modeling via Wasserstein Gradient Flows of KDE-Approximated Divergences
by: Cao, Jiarui, et al.
Published: (2026)
by: Cao, Jiarui, et al.
Published: (2026)
Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades
by: Si, Chongjie, et al.
Published: (2025)
by: Si, Chongjie, et al.
Published: (2025)
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
by: Song, Yuxuan, et al.
Published: (2025)
by: Song, Yuxuan, et al.
Published: (2025)
Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows
by: Zhang, Shujian, et al.
Published: (2024)
by: Zhang, Shujian, et al.
Published: (2024)
Integration Flow Models
by: Wang, Jingjing, et al.
Published: (2025)
by: Wang, Jingjing, et al.
Published: (2025)
Do Transformers Have the Ability for Periodicity Generalization?
by: Liu, Huanyu, et al.
Published: (2026)
by: Liu, Huanyu, et al.
Published: (2026)
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
by: Yu, Hongli, et al.
Published: (2025)
by: Yu, Hongli, et al.
Published: (2025)
Transformer Multivariate Forecasting: Less is More?
by: Xu, Jingjing, et al.
Published: (2023)
by: Xu, Jingjing, et al.
Published: (2023)
SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling
by: Guo, Yi, et al.
Published: (2025)
by: Guo, Yi, et al.
Published: (2025)
Kolmogorov-Arnold Networks are Radial Basis Function Networks
by: Li, Ziyao
Published: (2024)
by: Li, Ziyao
Published: (2024)
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
by: Hu, Chen, et al.
Published: (2024)
by: Hu, Chen, et al.
Published: (2024)
NeuroPathNet: Dynamic Path Trajectory Learning for Brain Functional Connectivity Analysis
by: Guo, Tianqi, et al.
Published: (2025)
by: Guo, Tianqi, et al.
Published: (2025)
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
by: Zhou, Yucheng, et al.
Published: (2025)
by: Zhou, Yucheng, et al.
Published: (2025)
Dual-LoRA and Quality-Enhanced Pseudo Replay for Multimodal Continual Food Learning
by: Wu, Xinlan, et al.
Published: (2025)
by: Wu, Xinlan, et al.
Published: (2025)
Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
by: Chen, Xiaojing, et al.
Published: (2026)
by: Chen, Xiaojing, et al.
Published: (2026)
Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification
by: Febrinanto, Falih Gozi, et al.
Published: (2025)
by: Febrinanto, Falih Gozi, et al.
Published: (2025)
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
by: Feng, Yutong, et al.
Published: (2025)
by: Feng, Yutong, et al.
Published: (2025)
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
by: Xu, Jingjing, et al.
Published: (2024)
by: Xu, Jingjing, et al.
Published: (2024)
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
by: Xu, Jingjing, et al.
Published: (2025)
by: Xu, Jingjing, et al.
Published: (2025)
From Projection to Prediction: Beyond Logits for Scalable Language Models
by: Dong, Jianbing, et al.
Published: (2025)
by: Dong, Jianbing, et al.
Published: (2025)
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
by: Xie, Xianghua, et al.
Published: (2023)
by: Xie, Xianghua, et al.
Published: (2023)
Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence
by: Tan, Xiaoyu, et al.
Published: (2024)
by: Tan, Xiaoyu, et al.
Published: (2024)
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
by: Du, Zhekai, et al.
Published: (2025)
by: Du, Zhekai, et al.
Published: (2025)
Flow Score Distillation for Diverse Text-to-3D Generation
by: Yan, Runjie, et al.
Published: (2024)
by: Yan, Runjie, et al.
Published: (2024)
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation
by: Xie, Jingjing, et al.
Published: (2024)
by: Xie, Jingjing, et al.
Published: (2024)
GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning
by: Zhan, Zhentao, et al.
Published: (2025)
by: Zhan, Zhentao, et al.
Published: (2025)
Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
by: Liu, Yibai, et al.
Published: (2025)
by: Liu, Yibai, et al.
Published: (2025)
Bayesian Flow Networks
by: Graves, Alex, et al.
Published: (2023)
by: Graves, Alex, et al.
Published: (2023)
D$^3$epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes
by: Chen, Siyu, et al.
Published: (2024)
by: Chen, Siyu, et al.
Published: (2024)
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
by: Wu, Ziyang, et al.
Published: (2024)
by: Wu, Ziyang, et al.
Published: (2024)
Similar Items
-
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
by: Song, Yuxuan, et al.
Published: (2024) -
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
by: Qiu, Keyue, et al.
Published: (2024) -
C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction
by: Liu, Yuting, et al.
Published: (2025) -
CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
by: Dai, Weinan, et al.
Published: (2026) -
DCFold: Efficient Protein Structure Generation with Single Forward Pass
by: Zhang, Zhe, et al.
Published: (2026)