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[2604.02691] Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism
Machine Learning

[2604.02691] Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism

Abstract page for arXiv paper 2604.02691: Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism

arXiv - Machine Learning · 3 min ·
[2604.02686] Beyond Semantic Manipulation: Token-Space Attacks on Reward Models
Machine Learning

[2604.02686] Beyond Semantic Manipulation: Token-Space Attacks on Reward Models

Abstract page for arXiv paper 2604.02686: Beyond Semantic Manipulation: Token-Space Attacks on Reward Models

arXiv - AI · 3 min ·
[2604.02685] Finding Belief Geometries with Sparse Autoencoders
Llms

[2604.02685] Finding Belief Geometries with Sparse Autoencoders

Abstract page for arXiv paper 2604.02685: Finding Belief Geometries with Sparse Autoencoders

arXiv - AI · 4 min ·
[2604.02670] Cross-subject Muscle Fatigue Detection via Adversarial and Supervised Contrastive Learning with Inception-Attention Network
Machine Learning

[2604.02670] Cross-subject Muscle Fatigue Detection via Adversarial and Supervised Contrastive Learning with Inception-Attention Network

Abstract page for arXiv paper 2604.02670: Cross-subject Muscle Fatigue Detection via Adversarial and Supervised Contrastive Learning with...

arXiv - Machine Learning · 3 min ·
[2604.02663] A Numerical Method for Coupling Parameterized Physics-Informed Neural Networks and FDM for Advanced Thermal-Hydraulic System Simulation
Machine Learning

[2604.02663] A Numerical Method for Coupling Parameterized Physics-Informed Neural Networks and FDM for Advanced Thermal-Hydraulic System Simulation

Abstract page for arXiv paper 2604.02663: A Numerical Method for Coupling Parameterized Physics-Informed Neural Networks and FDM for Adva...

arXiv - Machine Learning · 4 min ·
[2604.02659] Low-Rank Compression of Pretrained Models via Randomized Subspace Iteration
Machine Learning

[2604.02659] Low-Rank Compression of Pretrained Models via Randomized Subspace Iteration

Abstract page for arXiv paper 2604.02659: Low-Rank Compression of Pretrained Models via Randomized Subspace Iteration

arXiv - AI · 3 min ·
[2604.02653] Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability
Machine Learning

[2604.02653] Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability

Abstract page for arXiv paper 2604.02653: Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability

arXiv - Machine Learning · 3 min ·
[2604.02652] Generalization Limits of Reinforcement Learning Alignment
Llms

[2604.02652] Generalization Limits of Reinforcement Learning Alignment

Abstract page for arXiv paper 2604.02652: Generalization Limits of Reinforcement Learning Alignment

arXiv - AI · 3 min ·
[2604.02651] Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training
Machine Learning

[2604.02651] Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training

Abstract page for arXiv paper 2604.02651: Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training

arXiv - AI · 4 min ·
[2604.02644] Conditional Sampling via Wasserstein Autoencoders and Triangular Transport
Machine Learning

[2604.02644] Conditional Sampling via Wasserstein Autoencoders and Triangular Transport

Abstract page for arXiv paper 2604.02644: Conditional Sampling via Wasserstein Autoencoders and Triangular Transport

arXiv - Machine Learning · 3 min ·
[2604.02638] AXELRAM: Quantize Once, Never Dequantize

[2604.02638] AXELRAM: Quantize Once, Never Dequantize

Abstract page for arXiv paper 2604.02638: AXELRAM: Quantize Once, Never Dequantize

arXiv - Machine Learning · 3 min ·
[2604.02633] Analytic Drift Resister for Non-Exemplar Continual Graph Learning

[2604.02633] Analytic Drift Resister for Non-Exemplar Continual Graph Learning

Abstract page for arXiv paper 2604.02633: Analytic Drift Resister for Non-Exemplar Continual Graph Learning

arXiv - AI · 3 min ·
[2604.02615] Complex-Valued GNNs for Distributed Basis-Invariant Control of Planar Systems
Machine Learning

[2604.02615] Complex-Valued GNNs for Distributed Basis-Invariant Control of Planar Systems

Abstract page for arXiv paper 2604.02615: Complex-Valued GNNs for Distributed Basis-Invariant Control of Planar Systems

arXiv - Machine Learning · 3 min ·
[2604.02608] Steerable but Not Decodable: Function Vectors Operate Beyond the Logit Lens
Llms

[2604.02608] Steerable but Not Decodable: Function Vectors Operate Beyond the Logit Lens

Abstract page for arXiv paper 2604.02608: Steerable but Not Decodable: Function Vectors Operate Beyond the Logit Lens

arXiv - Machine Learning · 4 min ·
[2604.02601] WGFINNs: Weak formulation-based GENERIC formalism informed neural networks'
Machine Learning

[2604.02601] WGFINNs: Weak formulation-based GENERIC formalism informed neural networks'

Abstract page for arXiv paper 2604.02601: WGFINNs: Weak formulation-based GENERIC formalism informed neural networks'

arXiv - Machine Learning · 4 min ·
[2604.02580] VoxelCodeBench: Benchmarking 3D World Modeling Through Code Generation
Machine Learning

[2604.02580] VoxelCodeBench: Benchmarking 3D World Modeling Through Code Generation

Abstract page for arXiv paper 2604.02580: VoxelCodeBench: Benchmarking 3D World Modeling Through Code Generation

arXiv - Machine Learning · 3 min ·
[2604.02577] ROMAN: A Multiscale Routing Operator for Convolutional Time Series Models
Machine Learning

[2604.02577] ROMAN: A Multiscale Routing Operator for Convolutional Time Series Models

Abstract page for arXiv paper 2604.02577: ROMAN: A Multiscale Routing Operator for Convolutional Time Series Models

arXiv - Machine Learning · 4 min ·
[2604.02558] Communication-Efficient Distributed Learning with Differential Privacy
Machine Learning

[2604.02558] Communication-Efficient Distributed Learning with Differential Privacy

Abstract page for arXiv paper 2604.02558: Communication-Efficient Distributed Learning with Differential Privacy

arXiv - Machine Learning · 3 min ·
[2604.02556] Fast NF4 Dequantization Kernels for Large Language Model Inference
Llms

[2604.02556] Fast NF4 Dequantization Kernels for Large Language Model Inference

Abstract page for arXiv paper 2604.02556: Fast NF4 Dequantization Kernels for Large Language Model Inference

arXiv - Machine Learning · 3 min ·
[2604.02535] A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction

[2604.02535] A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction

Abstract page for arXiv paper 2604.02535: A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction

arXiv - Machine Learning · 3 min ·