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Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation
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A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell RNA-seq Analysis
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CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities
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Analysing Calls to Order in German Parliamentary Debates
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Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models
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Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models
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Interpretable long-term traffic modelling on national road networks using theory-informed deep learning
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Image-based Quantification of Postural Deviations on Patients with Cervical Dystonia: A Machine Learning Approach Using Synthetic Training Data
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Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
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ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims
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Fair Data Pre-Processing with Imperfect Attribute Space
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Can AI Models Direct Each Other? Organizational Structure as a Probe into Training Limitations
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Neuro-Symbolic Process Anomaly Detection
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Automatic feature identification in least-squares policy iteration using the Koopman operator framework
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A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification
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HyVIC: A Metric-Driven Spatio-Spectral Hyperspectral Image Compression Architecture Based on Variational Autoencoders
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UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models
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Foundation Model for Cardiac Time Series via Masked Latent Attention
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Shapley meets Rawls: an integrated framework for measuring and explaining unfairness
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SparseCam4D: Spatio-Temporally Consistent 4D Reconstruction from Sparse Cameras
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SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition
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EcoFair: Trustworthy and Energy-Aware Routing for Privacy-Preserving Vertically Partitioned Medical Inference
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ClipTTT: CLIP-Guided Test-Time Training Helps LVLMs See Better
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Conditional Neural Bayes Ratio Estimation for Experimental Design Optimisation
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Entanglement as Memory: Mechanistic Interpretability of Quantum Language Models
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Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference
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AIRA_2: Overcoming Bottlenecks in AI Research Agents
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Identifying Connectivity Distributions from Neural Dynamics Using Flows
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Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
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Clinical named entity recognition in the Portuguese language: a benchmark of modern BERT models and LLMs
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AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
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CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
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Beyond Textual Knowledge-Leveraging Multimodal Knowledge Bases for Enhancing Vision-and-Language Navigation
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JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems
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ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs
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The internal law of a material can be discovered from its boundary
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Learnable Quantum Efficiency Filters for Urban Hyperspectral Segmentation
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Stabilizing Rubric Integration Training via Decoupled Advantage Normalization
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How Open Must Language Models be to Enable Reliable Scientific Inference?
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OVI-MAP:Open-Vocabulary Instance-Semantic Mapping
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The Multi-AMR Buffer Storage, Retrieval, and Reshuffling Problem: Exact and Heuristic Approaches
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Development of a European Union Time-Indexed Reference Dataset for Assessing the Performance of Signal Detection Methods in Pharmacovigilance using a Large Language Model
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AutoWeather4D: Autonomous Driving Video Weather Conversion via G-Buffer Dual-Pass Editing
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A Lyapunov Analysis of Softmax Policy Gradient for Stochastic Bandits
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Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning
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Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones
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HolisticSemGes: Semantic Grounding of Holistic Co-Speech Gesture Generation with Contrastive Flow-Matching
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Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
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When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models
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MemBoost: A Memory-Boosted Framework for Cost-Aware LLM Inference
