ResAlignNet: A Data-Driven Approach for INS/DVL Alignment
arxiv.org·3d
🎯Optimization Theory
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Certified Signed Graph Unlearning
arxiv.org·2d
🕸️Graph Theory
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BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-tailed Recognition
arxiv.org·2d
🧠Neural Networks
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Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
arxiv.org·3d
🗣️Large Language Models
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Learning Representation and Synergy Invariances: A Povable Framework for Generalized Multimodal Face Anti-Spoofing
arxiv.org·2d
🧠Neural Networks
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Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks
arxiv.org·3d
📊Optimization
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Multi-Scale Correlation-Aware Transformer for Maritime Vessel Re-Identification
arxiv.org·2d
🤖Transformers
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Optimizing Agricultural Research: A RAG-Based Approach to Mycorrhizal Fungi Information
arxiv.org·1d
📊Data Science
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PAS-Net: Physics-informed Adaptive Scale Deep Operator Network
arxiv.org·1d
🔥PyTorch
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Beyond Uncertainty Sets: Leveraging Optimal Transport to Extend Conformal Predictive Distribution to Multivariate Settings
arxiv.org·1d
🎲Probability Theory
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Contactless Monitoring of Muscle Vibrations During Exercise with a Chaos-Inspired Radar
arxiv.org·2d
⏱️Time Series Analysis
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APD-Agents: A Large Language Model-Driven Multi-Agents Collaborative Framework for Automated Page Design
arxiv.org·2d
🗣️Large Language Models
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Two-Faced Social Agents: Context Collapse in Role-Conditioned Large Language Models
arxiv.org·1d
🤖Transformers
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Bregman geometry-aware split Gibbs sampling for Bayesian Poisson inverse problems
arxiv.org·3d
📈Statistical Learning
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MAT-MPNN: A Mobility-Aware Transformer-MPNN Model for Dynamic Spatiotemporal Prediction of HIV Diagnoses in California, Florida, and New England
arxiv.org·2d
∂Automatic Differentiation
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Hybrid Convolution Neural Network Integrated with Pseudo-Newton Boosting for Lumbar Spine Degeneration Detection
arxiv.org·2d
🧠Deep Learning
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Unfitted Lattice Green's Function Method for Exterior Scattering in Complex Geometry
arxiv.org·2d
🔢Numerical Methods
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Temporal Realism Evaluation of Generated Videos Using Compressed-Domain Motion Vectors
arxiv.org·2d
🧠Deep Learning
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