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Showing 301–350 of 3104 papers

TitleStatusHype
Elk: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques—0
Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary DynamicsCode0
BitParticle: Partializing Sparse Dual-Factors to Build Quasi-Synchronizing MAC Arrays for Energy-efficient DNNs—0
An Adaptive Volatility-based Learning Rate Scheduler—0
OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety—0
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning—0
ANN-Based Grid Impedance Estimation for Adaptive Gain Scheduling in VSG Under Dynamic Grid ConditionsCode0
Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning—0
Improving Diffusion-Based Image Editing Faithfulness via Guidance and Scheduling—0
Co-Design of Sensing, Communications, and Control for Low-Altitude Wireless Networks—0
Joint Scheduling of DER under Demand Charges: Structure and Approximation—0
MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation—0
MILAAP: Mobile Link Allocation via Attention-based Prediction—0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
Finite-Time Information-Theoretic Bounds in Queueing Control—0
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems—0
A Simplified Analysis of SGD for Linear Regression with Weight Averaging—0
Considering the multi-time scale rolling optimization scheduling method of micro-energy network connected to electric vehicles—0
CNN-Enabled Scheduling for Probabilistic Real-Time Guarantees in Industrial URLLC—0
ASAP-FE: Energy-Efficient Feature Extraction Enabling Multi-Channel Keyword Spotting on Edge Processors—0
Efficient Serving of LLM Applications with Probabilistic Demand Modeling—0
GCN-Driven Reinforcement Learning for Probabilistic Real-Time Guarantees in Industrial URLLC—0
AlphaEvolve: A coding agent for scientific and algorithmic discovery—0
Asymptotically Smaller Encodings for Graph Problems and Scheduling—0
Dynamic Scheduling for Enhanced Performance in RIS-assisted Cooperative Network with Interference—0
Less Conservative Adaptive Gain-scheduling Control for Continuous-time Systems with Polytopic Uncertainties—0
Automated Heuristic Design for Unit Commitment Using Large Language Models—0
Instantaneous Failure, Repair and Mobility Rates for Markov Reliability Systems: A Wind-Farm application—0
Semantic Scheduling for LLM InferenceCode0
Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems—0
Directed Acyclic Graph Convolutional Networks—0
SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies—0
A Robust Optimization Framework for Flexible Industrial Energy Scheduling: Application to a Cement Plant with Market Participation—0
Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning—0
Optimization and Control Technologies for Renewable-Dominated Hydrogen-Blended Integrated Gas-Electricity System: A Review—0
Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency—0
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications—0
Not all those who drift are lost: Drift correction and calibration scheduling for the IoT—0
Agile Reinforcement Learning for Real-Time Task Scheduling in Edge ComputingCode0
Q-learning-based Hierarchical Cooperative Local Search for Steelmaking-continuous Casting Scheduling Problem—0
Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System—0
Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data—0
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning—0
SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems—0
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming—0
Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices—0
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement LearningCode0
Quantum-Inspired Genetic Optimization for Patient Scheduling in Radiation Oncology—0
Spatiotemporal Prediction of Electric Vehicle Charging Load Based on Large Language Models—0
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