Papers
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Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
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LLM Constitutional Multi-Agent Governance
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From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Research
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Neuron-Aware Data Selection In Instruction Tuning For Large Language Models
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Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
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Open World MRI Reconstruction with Bias-Calibrated Adaptation
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Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks
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Out of Sight, Out of Mind? Evaluating State Evolution in Video World Models
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Visual-ERM: Reward Modeling for Visual Equivalence
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Resolving Interference (RI): Disentangling Models for Improved Model Merging
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PhysMoDPO: Physically-Plausible Humanoid Motion with Preference Optimization
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Equivalence of approximation by networks of single- and multi-spike neurons
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Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems
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Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
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ActionPlan: Future-Aware Streaming Motion Synthesis via Frame-Level Action Planning
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Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimization
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LibraGen: Playing a Balance Game in Subject-Driven Video Generation
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MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection
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Executable Archaeology: Reanimating the Logic Theorist from its IPL-V Source
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VoXtream2: Full-stream TTS with dynamic speaking rate control
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A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
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Eleven Primitives and Three Gates: The Universal Structure of Computational Imaging
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Hide and Seek: Investigating Redundancy in Earth Observation Imagery
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SAIF: A Stability-Aware Inference Framework for Medical Image Segmentation with Segment Anything Model
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Active Sampling Sample-based Quantum Diagonalization from Finite-Shot Measurements
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AMES: Approximate Multi-modal Enterprise Search via Late Interaction Retrieval
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Exploring label correlations using decision templates for ensemble of classifier chains
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The AI Fiction Paradox
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Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization
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NumColor: Precise Numeric Color Control in Text-to-Image Generation
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Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
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Semantic Aware Feature Extraction for Enhanced 3D Reconstruction
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Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics
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Holographic Invariant Storage: Design-Time Safety Contracts via Vector Symbolic Architectures
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Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
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Task-Oriented Wireless Transmission of 3D Point Clouds: Geometric Versus Semantic Robustness
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Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance
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MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
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EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection
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Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
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DiveUp: Learning Feature Upsampling from Diverse Vision Foundation Models
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Analytical Logit Scaling for High-Resolution Sea Ice Topology Retrieval from Weakly Labeled SAR Imagery
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State Algebra for Probabilistic Logic
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LingoMotion: An Interpretable and Unambiguous Symbolic Representation for Human Motion
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Automated Self-Testing as a Quality Gate: Evidence-Driven Release Management for LLM Applications
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An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
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State-space models through the lens of ensemble control
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Volumetric Radar Echo Motion Estimation Using Physics-Informed Deep Learning: A Case Study Over Slovakia
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Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations
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EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
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