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<title>Channels - When and Why SignSGD Outperforms SGD: A Theoretical Study Based on $ell_1$-norm Lower Bounds :: FRELIP Discovery
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Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds
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Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks
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Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML
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Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems
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When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels
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Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters
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Lower Bounds for Approximate Sign Rank
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management
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Exponential families from a single KL identity
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TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering
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A Unified Framework of Hyperbolic Graph Representation Learning Methods
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Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach
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PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking
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Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression
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Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments
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FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing
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Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing
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Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces
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Do Sparse Autoencoders Capture Concept Manifolds?
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DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures
