Papers
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SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinement
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Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling
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CMHL: Contrastive Multi-Head Learning for Emotionally Consistent Text Classification
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Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
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Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining
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Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
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Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
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Soft Mean Expected Calibration Error (SMECE): A Calibration Metric for Probabilistic Labels
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Not All Latent Spaces Are Flat: Hyperbolic Concept Control
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Maximin Robust Bayesian Experimental Design
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Concisely Explaining the Doubt: Minimum-Size Abductive Explanations for Linear Models with a Reject Option
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Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
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ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
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SVD Contextual Sparsity Predictors for Fast LLM Inference
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OasisSimp: An Open-source Asian-English Sentence Simplification Dataset
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Revisiting the Perception-Distortion Trade-off with Spatial-Semantic Guided Super-Resolution
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Improving Visual Reasoning with Iterative Evidence Refinement
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Low-Field Magnetic Resonance Image Quality Enhancement using Undersampled k-Space and Out-of-Distribution Generalisation
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Towards Agentic Honeynet Configuration
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Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space
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The Institutional Scaling Law: Non-Monotonic Fitness, Capability-Trust Divergence, and Symbiogenetic Scaling in Generative AI
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Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method
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Diffusion Reinforcement Learning via Centered Reward Distillation
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The GELATO Dataset for Legislative NER
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Is the reconstruction loss culprit? An attempt to outperform JEPA
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DualSwinFusionSeg: Multimodal Martian Landslide Segmentation via Dual Swin Transformer with Multi-Scale Fusion and UNet++
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Solving physics-constrained inverse problems with conditional flow matching
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Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors
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MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
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An Alternative Trajectory for Generative AI
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CIPHER: Culvert Inspection through Pairwise Frame Selection and High-Efficiency Reconstruction
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Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images
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SK-Adapter: Skeleton-Based Structural Control for Native 3D Generation
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Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
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Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
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Clinician input steers frontier AI models toward both accurate and harmful decisions
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MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement
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SDF-Net: Structure-Aware Disentangled Feature Learning for Opticall-SAR Ship Re-identification
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CA-HFP: Curvature-Aware Heterogeneous Federated Pruning with Model Reconstruction
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Early Pruning for Public Transport Routing
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Maximizing Incremental Information Entropy for Contrastive Learning
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Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback
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Optimize Wider, Not Deeper: Consensus Aggregation for Policy Optimization
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MIBench: Evaluating LMMs on Multimodal Interaction
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Feynman: Knowledge-Infused Diagramming Agent for Scalable Visual Designs
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Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating
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A Prediction-as-Perception Framework for 3D Object Detection
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A2Z-10M+: Geometric Deep Learning with A-to-Z BRep Annotations for AI-Assisted CAD Modeling and Reverse Engineering
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EvoClaw: Evaluating AI Agents on Continuous Software Evolution
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Mastering Negation: Boosting Grounding Models via Grouped Opposition-Based Learning
