| 2025 | DetoxNet: Toxicity Identification Using LLMs and Understanding its Drug-Origin for Model Fairness. | Karukriti Kaushik Ghosh, Chiranjib Sur |
| 2025 | Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems. | Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2025 | Imitation-Inspired Semantic-Guided Distillation for User-Conditioned Memorability Prediction. | Indrajeet Ghosh, Mohammad Saeid Anwar, Kasthuri Jayarajah, Nirmalya Roy |
| 2025 | GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction. | Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi |
| 2025 | Achieving Robust and Faithful Explanations via Conditional Pairwise Contrast. | Lige Gan, Jinzhao He, Xiao Yue, Guangzhi Qu |
| 2025 | Learning Dispatch Policies for Hydrothermal Power Systems with Imperfect State Information and High Reinforcement. | Francisco Galuppo, Gianlucca L. Zuin, Adriano Alonso Veloso, Ram Rajagopal |
| 2025 | Cluster Skeleton Exploration: An Effective and Scalable Active Constrained Clustering. | Xun Fu, Xin Wang, Yang Ni |
| 2025 | Few-Shot Learning Meets Large Language Models: Mining Medicine Interventions from Reddit. | Caroline Fu, Max Ritter, Shengze Diao, Fang Jin |
| 2025 | ProHD: Projection-Based Hausdorff Distance Approximation. | Jiuzhou Fu, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao |
| 2025 | TriLoRA: Enhancing Realistic Robustness of Low-Step Diffusion Sampling via Structured Low-Rank Adaptation. | Chengcheng Feng, Mu He, Haojie Yin, Kaizhu Huang |
| 2025 | Prompt Learning with Text-Augmented Cues for Out-of-Distribution Detection. | Mingxu Feng, Dian Chao, Yuxuan Zhang, Yang Yang, Weili Guo |
| 2025 | MarketSenseAI 2.0: Enhancing Stock Analysis Through LLM Agents. | George Fatouros, Kostas Metaxas, John Soldatos, Manos Karathanassis |
| 2025 | TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data. | Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang |
| 2025 | Assessing Bias Within Diabetes Risk Prediction in Machine Learning Techniques. | Ayesha Faruki |
| 2025 | xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection. | Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo |
| 2025 | TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation. | MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2025 | A Universal Metric of Dataset Similarity for Cross-Silo Federated Learning. | Ahmed Elhussein, Gamze Grsoy |
| 2025 | Conclave: A Unified Platform for Real-Time Slurm Cluster Data Monitoring. | David Dymko, Stefan A. Robila |
| 2025 | Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. | Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy |
| 2025 | MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection. | Walid Durani, Philipp Jahn, Thomas Seidl, Claudia Plant, Christian Bhm |
| 2025 | Multi-Label Transfer Learning in Non-Stationary Data Streams. | Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou |
| 2025 | Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction. | Yang Du, Siyuan Dai, Marcus Zhan, Guodong Liu, Paul M. Thompson, Heng Huang, Haoteng Tang |
| 2025 | Compute-Efficient Prediction of Rhetorical Relations via Late Fusion of Semantic Perturbation and Attention Features. | Yoga Harshitha Duddukuri |
| 2025 | ChemPaperBench: A Multi-Domain Benchmark for Literature-Grounded Chemical Reasoning of LLM-Based Multi-Agent Systems. | Ivan Dubrovsky, Kamil Fatkhiev, Anastasia Vepreva, Anastasia Orlova, Nina Gubina, Dina Shakirova, Rodion Golovinskii, Al Abbass Mohamed, Andrei Dmitrenko, Nikolay O. Nikitin, Anna V. Kalyuzhnaya |
| 2025 | High-Quality Label Learning in Generalized Category Discovery. | Yu Duan, Junzhi He, Feiping Nie, Quanxue Gao, Cheng Deng |