:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	An, Junyi, Qu, Chao, Shi, Yun-Fei, Liu, XinHao, Tang, Qianwei, Cao, Fenglei, Qi, Yuan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2502.08209
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Equivariant Spherical Transformer for Efficient Molecular Modeling
by: An, Junyi, et al.
Published: (2025)

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation
by: An, Junyi, et al.
Published: (2026)

Suiren-1.0 Technical Report: A Family of Molecular Foundation Models
by: An, Junyi, et al.
Published: (2026)

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

Rethink Deep Learning with Invariance in Data Representation
by: Qi, Shuren, et al.
Published: (2024)

Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)

A Pre-trained Reaction Embedding Descriptor Capturing Bond Transformation Patterns
by: Liu, Weiqi, et al.
Published: (2026)

Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching
by: Subramanian, Akshay, et al.
Published: (2024)

MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning
by: Hong, Jingshan, et al.
Published: (2025)

Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
by: Wang, Yanwen, et al.
Published: (2025)

Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction
by: Lian, Xin, et al.
Published: (2024)

Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
by: Jin, Dian, et al.
Published: (2025)

Intermittent Semi-Working Mask: A New Masking Paradigm for LLMs
by: Hu, HaoYuan, et al.
Published: (2024)

EFPC: Towards Efficient and Flexible Prompt Compression
by: Cao, Yun-Hao, et al.
Published: (2025)

Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling
by: Jin, Dian, et al.
Published: (2026)

MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder
by: Wang, Peng, et al.
Published: (2024)

Dynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating Dynamic Behaviors and Physical Properties in Protein Structures
by: Liu, Ce, et al.
Published: (2024)

Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles
by: Robinet, Lucas, et al.
Published: (2025)

Contrastive Learning Via Equivariant Representation
by: Song, Sifan, et al.
Published: (2024)

Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
by: Quelennec, Aurian, et al.
Published: (2025)

Group Representational Position Encoding
by: Zhang, Yifan, et al.
Published: (2025)

Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
by: Mao, Yixiu, et al.
Published: (2026)

ChemAmp: Amplified Chemistry Tools via Composable Agents
by: Li, Zhucong, et al.
Published: (2025)

Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks
by: Liu, Junyi, et al.
Published: (2025)

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
by: Xie, Hong Xin, et al.
Published: (2025)

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning
by: Quelennec, Aurian, et al.
Published: (2025)

LLM-Empowered State Representation for Reinforcement Learning
by: Wang, Boyuan, et al.
Published: (2024)

Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
by: Liu, Cong, et al.
Published: (2025)

Advancing Sequential Numerical Prediction in Autoregressive Models
by: Fei, Xiang, et al.
Published: (2025)

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)

Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks
by: Qu, Xiran, et al.
Published: (2023)

SyncLipMAE: Contrastive Masked Pretraining for Audio-Visual Talking-Face Representation
by: Ling, Zeyu, et al.
Published: (2025)

On Equivariance and Fast Sampling in Video Diffusion Models Trained with Warped Noise
by: Liu, Chao, et al.
Published: (2025)

Motion Guided Token Compression for Efficient Masked Video Modeling
by: Feng, Yukun, et al.
Published: (2024)

Fragment-Masked Diffusion for Molecular Optimization
by: Li, Kun, et al.
Published: (2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
by: Wang, Liang, et al.
Published: (2024)

CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction
by: Van Le, Huong, et al.
Published: (2025)

MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning
by: Liu, Jie, et al.
Published: (2023)

Masked Latent Transformer with the Random Masking Ratio to Advance the Diagnosis of Dental Fluorosis
by: Wu, Yun, et al.
Published: (2024)

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
by: Qu, Yun, et al.
Published: (2026)