| 2024 | Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models. | Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti |
| 2024 | T-DVAE: A Transformer-Based Dynamical Variational Autoencoder for Speech. | Jan-Ole Perschewski, Sebastian Stober |
| 2024 | MUFASA: Multi-view Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. | Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille |
| 2024 | Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training. | Ankita Paul, Anup Das |
| 2024 | Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks. | Ankita Paul, Anup Das |
| 2024 | Probability-Generating Function Kernels for Spherical Data. | Theodore Papamarkou, Alexey Lindo |
| 2024 | Accelerated NAS via Pretrained Ensembles and Multi-fidelity Bayesian Optimization. | Houssem Ouertatani, Cristian Maxim, Smal Niar, El-Ghazali Talbi |
| 2024 | Action Recognition System Integrating Motion and Object Detection. | Anastasia Ostapenko, Michal Vavrecka |
| 2024 | A Neuron Coverage-Based Self-organizing Approach for RBFNNs in Multi-class Classification Tasks. | Alberto Ortiz |
| 2024 | Asymmetric Isomap for Dimensionality Reduction and Data Visualization. | Dominik Olszewski |
| 2024 | Prompt Design Using Past Dialogue Summarization for LLMs to Generate the Current Appropriate Dialogue. | Yuya Okadome, Akishige Yuguchi, Ryota Fukui, Yoshio Matsumoto |
| 2024 | A Multi-modal Spiking Meta-learner with Brain-Inspired Task-Aware Modulation Scheme. | Jun Niu, Zhaokun Zhou, Kaiwei Che, Li Yuan |
| 2024 | Dual Action Policy for Robust Sim-to-Real Reinforcement Learning. | Wen Zheng Terence Ng, Jianda Chen |
| 2024 | Classification of Dehiscence Defects in Titanium and Zirconium Dental Implants. | Antonio Barros da Silva Netto, Willian Farias Carvalho Oliveira, Cleber Zanchettin |
| 2024 | Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery. | Yasmine Nahal, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski |
| 2024 | Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. | Henry Musto, Daniel Stamate, Doina Logofatu, Daniel Stahl |
| 2024 | Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems. | Zhenyu Mu, Jianghao Lin, Xiaoyu Zhu, Weinan Zhang, Yong Yu |
| 2024 | A Study in Dataset Pruning for Image Super-Resolution. | Brian B. Moser, Federico Raue, Andreas Dengel |
| 2024 | Ch4os: Discretized Generative Adversarial Network for Functionality-Preserving Evasive Modification on Malware. | Christopher Molloy, Furkan Alaca, Steven H. H. Ding |
| 2024 | Hair Transfer with Efficient Heuristic Chain of Editing. | Yuansheng Ma, Dong Zhang, Suyang Zhu, Shoushan Li |
| 2024 | Balancing Imbalanced Toxicity Models: Using MolBERT with Focal Loss. | Muhammad Arslan Masood, Samuel Kaski, Hugo Ceulemans, Dorota Herman, Markus Heinonen |
| 2024 | Deep Bayesian Experimental Design for Drug Discovery. | Muhammad Arslan Masood, Tianyu Cui, Samuel Kaski |
| 2024 | Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models. | Jan-Matys Martinu, Petr Simnek |
| 2024 | Nullspace-Based Metric for Classification of Dynamical Systems and Sensors. | Dominique Martinez, Mohamed Boutayeb |
| 2024 | Meteorological Data Based Detection of Stroke Using Machine Learning Techniques. | Anastasia-Daria Marc, Andreea Alina Ploscar, Adriana Mihaela Coroiu |