deep-neural-networks

Documents about deep-neural-networks

• SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors#138942arXiv CS
• Few-Shot Cross-Device Transfer for Quantum Noise Modeling on Real Hardware#138946arXiv CS
• Egocentric Tactile and Proximity Sensors as Observation Priors for Humanoid Collision Avoidance#141490arXiv CS
• EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming#141494arXiv CS
• GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning#141502arXiv CS
• Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds#141507arXiv CS
• An adaptive wavelet-based PINN for problems with localized high-magnitude source#146909arXiv CS
• FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing#146924arXiv CS
• TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering#146925arXiv CS
• Beyond the Baseband: Adaptive Multi-Band Encoding for Full-Spectrum Bioacoustics Classification#146946arXiv CS
• Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning#146954arXiv CS
• SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control#151718arXiv CS
• Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries#151721arXiv CS
• Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring#151722arXiv CS
• FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization#151733arXiv CS
• PEACE: Cross-modal Enhanced Pediatric-Adult ECG Alignment for Robust Pediatric Diagnosis#151741arXiv CS
• Decouple before Integration: Test-time Synthesis of SFT and RLVR Task Vectors#151749arXiv CS
• Safety and accuracy follow different scaling laws in clinical large language models#155270arXiv CS
• Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures#155271arXiv CS
• Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes#155274arXiv CS
• Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Data#155283arXiv CS
• Complex Equation Learner: Rational Symbolic Regression with Gradient Descent in Complex Domain#155291arXiv CS
• A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability#155293arXiv CS
• Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence#155316arXiv CS
• ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation#168297arXiv CS
• Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML#168300arXiv CS
• Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study#168306arXiv CS
• Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability#168340arXiv CS
• On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR#168342arXiv CS
• Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime#175240arXiv CS
• Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges#175242arXiv CS
• Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why#175249arXiv CS
• Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR#175277arXiv CS
• AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward#178858arXiv CS
• Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs#178870arXiv CS
• Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling#178879arXiv CS
• EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records#178900arXiv CS
• Grid Games: The Power of Multiple Grids for Quantizing Large Language Models#178901arXiv CS
• EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents#180636arXiv CS
• Unsupervised Representation Learning with Deep Convolutional Generative\n Adversarial Networks#6169OpenAlex
• An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks#20601DOAJ
• Bioinspired hybrid optimisation and deep belief neural networks for early chronic kidney disease detection: an explainable clinical AI framework.#9696PubMed
• Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory#5973arXiv CS
• Very Deep Convolutional Networks for Large-Scale Image Recognition#6258OpenAlex
• Conformable Fractional Deep Neural Networks (CFDNN) for high-speed cyber-attack detection.#1437NCBI PubMed Central
• ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification#2599arXiv CS
• Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference#2620arXiv CS
• Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM#5959arXiv CS
• Are Independently Estimated View Uncertainties Comparable? Unified Routing for Trusted Multi-View Classification#5977arXiv CS
• The causal relation between off-street parking and electric vehicle adoption in Scotland#5979arXiv CS