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Showing 501–550 of 3104 papers

TitleStatusHype
Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic StudyCode1
On the Incorporation of Stability Constraints into Sequential Operational Scheduling—0
Topology-aware Preemptive Scheduling for Co-located LLM WorkloadsCode0
Leveraging Bitcoin Mining Machines in Demand-Response Mechanisms to Mitigate Ramping-Induced Transients—0
Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment—0
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training—0
Latency Optimization in LEO Satellite Communications with Hybrid Beam Pattern and Interference Control—0
Robot Tasks with Fuzzy Time Requirements from Natural Language Instructions—0
Time-constrained Federated Learning (FL) in Push-Pull IoT Wireless Access—0
Towards Practical Deep Schedulers for Allocating Cellular Radio Resources—0
A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plants—0
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling—0
Optimizing LLM Inference for Database Systems: Cost-Aware Scheduling for Concurrent Requests—0
Sensing Capacity for Integrated Sensing and Communication Systems in Low-Altitude Economy—0
Co-Scheduling of Energy and Production in Discrete Manufacturing Considering Decision-Dependent Uncertainties—0
Scalable Distributed Least Squares Algorithm for Linear Algebraic Equations via Scheduling—0
Two-Stage Stochastic Optimization for Low-Carbon Dispatch in a Combined Energy System—0
Eavesdropping on Goal-Oriented Communication: Timing Attacks and Countermeasures—0
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling—0
An Energy-Based Self-Adaptive Learning Rate for Stochastic Gradient Descent: Enhancing Unconstrained Optimization with VAV method—0
Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments—0
Data-Driven Min-Max MPC for LPV Systems with Unknown Scheduling Signal—0
SAUCE: Synchronous and Asynchronous User-Customizable Environment for Multi-Agent LLM InteractionCode0
AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution—0
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level Hardware Statistics—0
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM InferenceCode0
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning—0
Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing—0
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge—0
ALISE: Accelerating Large Language Model Serving with Speculative Scheduling—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem—0
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information—0
How Does Critical Batch Size Scale in Pre-training?Code1
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity—0
Capacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach—0
Age of Information-Oriented Probabilistic Link Scheduling for Device-to-Device Networks—0
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-DesignCode1
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles—0
Optimizing Load Scheduling in Power Grids Using Reinforcement Learning and Markov Decision Processes—0
Fast Inference for Augmented Large Language Models—0
Exploiting Data Centres and Local Energy Communities Synergies for Market Participation—0
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers—0
A Surrogate Model for Quay Crane Scheduling Problem—0
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost—0
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