:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Tian, Xinyu, Shen, Xiaotong
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2502.07090
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Generative Score Inference for Multimodal Data
por: Tian, Xinyu, et al.
Publicado: (2026)

Reinforcement Learning with Curriculum-inspired Adaptive Direct Policy Guidance for Truck Dispatching
por: Meng, Shi, et al.
Publicado: (2025)

UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
por: Feng, Shikun, et al.
Publicado: (2024)

A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation
por: Li, Jiulin, et al.
Publicado: (2025)

Manifold-Aligned Generative Transport
por: Tian, Xinyu, et al.
Publicado: (2026)

Generalized Preference Optimization: A Unified Approach to Offline Alignment
por: Tang, Yunhao, et al.
Publicado: (2024)

Enhancing Accuracy in Generative Models via Knowledge Transfer
por: Tian, Xinyu, et al.
Publicado: (2024)

A Unified Kernel for Neural Network Learning
por: Zhang, Shao-Qun, et al.
Publicado: (2024)

Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems
por: Ghalkha, Abdulmomen, et al.
Publicado: (2025)

Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
por: Armenta-Segura, Jesús, et al.
Publicado: (2024)

Disentanglement of Variations with Multimodal Generative Modeling
por: Zhang, Yijie, et al.
Publicado: (2025)

TRISKELION-1: Unified Descriptive-Predictive-Generative AI
por: Kumar, Nardeep, et al.
Publicado: (2025)

A Unified and General Framework for Continual Learning
por: Wang, Zhenyi, et al.
Publicado: (2024)

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
por: Ji, Xiaotong, et al.
Publicado: (2026)

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
por: Seong, Kiyoung, et al.
Publicado: (2026)

A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
por: Khetarpal, Khimya, et al.
Publicado: (2024)

USP: A Unified Sequence Parallelism Approach for Long Context Generative AI
por: Fang, Jiarui, et al.
Publicado: (2024)

Bottleneck Tokens for Unified Multimodal Retrieval
por: Sun, Siyu, et al.
Publicado: (2026)

Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
por: Zhang, Dingkun, et al.
Publicado: (2025)

Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
por: Wei, Xiwen, et al.
Publicado: (2025)

Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation
por: Shen, Rex, et al.
Publicado: (2025)

When Are Learning Biases Equivalent? A Unifying Framework for Fairness, Robustness, and Distribution Shift
por: Mehta, Sushant
Publicado: (2025)

IBNorm: Information-Bottleneck Inspired Normalization for Representation Learning
por: Zou, Xiandong, et al.
Publicado: (2025)

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
por: Najjar, Hiba, et al.
Publicado: (2025)

Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection
por: Liang, Xinyu, et al.
Publicado: (2025)

A Curriculum Learning Approach to Reinforcement Learning: Leveraging RAG for Multimodal Question Answering
por: Zhang, Chenliang, et al.
Publicado: (2025)

RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
por: Zhang, Yuwei, et al.
Publicado: (2024)

Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models
por: Peng, Zixiang, et al.
Publicado: (2026)

Learning Causal Graphs at Scale: A Foundation Model Approach
por: Yin, Naiyu, et al.
Publicado: (2025)

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
por: Fan, Mingfeng, et al.
Publicado: (2025)

UncertaintyZoo: A Unified Toolkit for Quantifying Predictive Uncertainty in Deep Learning Systems
por: Wu, Xianzong, et al.
Publicado: (2025)

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
por: Zhan, Wangzhi, et al.
Publicado: (2025)

Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
por: Yuan, Li, et al.
Publicado: (2025)

Graphs Generalization under Distribution Shifts
por: Tian, Qin, et al.
Publicado: (2024)

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction
por: Cheong, Jiaee, et al.
Publicado: (2025)

Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal Models
por: Tan, Lit Sin, et al.
Publicado: (2026)

Local-Global Multimodal Contrastive Learning for Molecular Property Prediction
por: Liu, Xiayu, et al.
Publicado: (2026)

Semantic-based Distributed Learning for Diverse and Discriminative Representations
por: Tian, Zhuojun, et al.
Publicado: (2026)

Diffusion-TS: Interpretable Diffusion for General Time Series Generation
por: Yuan, Xinyu, et al.
Publicado: (2024)

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
por: Gao, Yisen, et al.
Publicado: (2025)