| 2024 | Towards a Model of Associative Memory with Learned Distributed Representations. | Matej Fandl, Martin Takc |
| 2024 | Atom-Level Quantum Pretraining Enhances the Spectral Perception of Molecular Graphs in Graphormer. | Alessio Fallani, Jos Antonio Arjona-Medina, Konstantin Chernichenko, Ramil I. Nugmanov, Jrg Kurt Wegner, Alexandre Tkatchenko |
| 2024 | Hop-Gated Graph Attention Network for ASD Diagnosis via PC-Based Graph Regularization Sparse Representation. | Aimei Dong, Xuening Zhang, Guixin Zhao, Ruixin Wang, Jian Liu |
| 2024 | Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. | Giovanni Donghi, Luca Pasa, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicol Navarin |
| 2024 | Effects of Input Structure and Topology on Input-Driven Functional Connectivity Stability. | Peter Ford Dominey |
| 2024 | Neural SHAKE: Geometric Constraints in Graph Generative Models. | Justin Sidney Diamond, Markus A. Lill |
| 2024 | Breaking the Corpus Bottleneck for Multi-dialect Speech Recognition with Flexible Adapters. | Tengyue Deng, Jianguo Wei, Jiahao Yang, Minghao Guo, Wenjun Ke, Xiaokang Yang, Wenhuan Lu |
| 2024 | Resonator-Gated RNNs. | Robert Deibel, Shahram Eivazi, Matrin V. Butz, Sebastian Otte |
| 2024 | MSD-HAM-Net: A Multi-modality Fusion Network of PET/CT Images for the Prognosis of DLBCL Patients. | Zhaoyan Dai, Jianxin Chen, Fengyi Lin, Yu Chen, Yawen Fan, Chong Jiang, Jingyan Xu |
| 2024 | Target-Aware Drug Activity Model: A Deep Learning Approach to Virtual HTS. | Szymon Czaplak, Tomasz Fraczek, Fabrizio Ambrogi, Michal Kmicikiewicz, Jrg Wichard, Anna Karawajczyk |
| 2024 | A Temporal-Enhanced Model for Knowledge Tracing. | Shaoguo Cui, Mingyang Wang, Song Xu |
| 2024 | Latent-Conditioned Equivariant Diffusion for Structure-Based De Novo Ligand Generation. | Julian Cremer, Tuan Le, Djork-Arn Clevert, Kristof T. Schtt |
| 2024 | Fusion of Image Representations for Time Series Classification with Deep Learning. | Henrique V. Costa, Andr G. R. Ribeiro, Vincius M. A. de Souza |
| 2024 | 3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks. | Melvin Ciurletti, Anna-Lena von Behren, Jannik Bhring, Sebastian Otte |
| 2024 | Learning Low-Level Causal Relations Using a Simulated Robotic Arm. | Miroslav Cibula, Matthias Kerzel, Igor Farkas |
| 2024 | SSFlowNet: Semi-supervised Scene Flow Estimation on Point Clouds With Pseudo Label. | Jingze Chen, Simiao Zhuang, Qiqin Lin, Junfeng Yao, Lei Li |
| 2024 | ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. | Jiahui Chen, Chuanfeng Yang, Kaiheng Li, Qingqiang Wu, Qingqi Hong |
| 2024 | MISS: A Generative Pre-training and Fine-Tuning Approach for Med-VQA. | Jiawei Chen, Dingkang Yang, Yue Jiang, Yuxuan Lei, Lihua Zhang |
| 2024 | CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Ground Image Synthesis. | Yuankun Chen, Dazhong Rong, Yi Li |
| 2024 | An Evaluation Dataset for Targeted Sentiment Analysis in Long-Form Chinese News Articles. | Rui Chen, Tailai Peng, Xinran Xie, Dekun Lin, Zhe Cui, Zheng Chen |
| 2024 | Developmental Predictive Coding Model for Early Infancy Mono and Bilingual Vocal Continual Learning. | Xiaodan Chen, Alexandre Pitti, Mathias Quoy, Nancy F. Chen |
| 2024 | A Three-Phases-LORA Finetuned Hybrid LLM Integrated with Strong Prior Module in the Education Context. | Zhangquan Chen, Chunjiang Liu, Haobin Duan |
| 2024 | P2H-GAN: An Effective Method For Generating Handwritten Expressions. | Mohua Chen, Hanchao Liu, Lanfang Dong |
| 2024 | Time-Aware Squeeze-Excitation Transformer for Sequential Recommendation. | Hongwei Chen, Luanxuan Liu, Zexi Chen, Xia Li |
| 2024 | Multi-modal Multi-scale State Space Model for Medical Visual Question Answering. | Qishen Chen, Minjie Bian, Wenxuan He, Huahu Xu |