arXiv cs.AIOct 15, 2026Research
MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering
arXiv cs.LGOct 15, 2026Research
Generalization Guarantees of Randomized Block Coordinate Descent for Nonconvex Learning
arXiv (systems & security) cs.CROct 15, 2026Research
Trigger Value Selection in Clean-Label Malware Backdoors: An Effectiveness-Detectability Analysis
arXiv cs.LGOct 14, 2026Research
When Does Task-Aware Imputation Matter? An Analysis of Robustness Under Train-Test Mismatch
arXiv (systems & security) cs.PFOct 14, 2026Research
How the Dirty Set Moves: Characterizing Schedule Reuse in Incremental Sparse Matrix Multiplication
arXiv (systems & security) cs.DCOct 13, 2026Research
LunaTP: Enabling Efficient and Scalable Tensor Product for Equivariant MLIPs
Nature Computational ScienceOct 13, 2026Research
HIP: Hessian Interatomic Potentials without derivatives
Apple Machine LearningOct 12, 2026News
Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices
arXiv cs.CVOct 9, 2026Research
Hide and Seek: HIDE Concepts to SEEK explanations for black box models
arXiv quant-phOct 9, 2026Research
Diversity-Aware Ensemble of Quantum-Classical Models via Combinatorial Fusion
arXiv (systems & security) cs.DBOct 9, 2026Research
ProvQML: Efficient Provenance Capture for Machine Learning as Recursive Aggregate SQL [Extended Version]
arXiv (systems & security) cs.DCOct 9, 2026Research
ShoreKeeper: Accelerating Iterative Data Analytics in the Cloud via Distributed Recovery-Cost-Aware Caching
arXiv cs.MSOct 8, 2026Research
asdex: Automatic Sparse Differentiation in JAX
arXiv hep-phOct 8, 2026Research
Machine Learning Meets High-Energy Nuclear Physics: From Pattern Recognition to Physics-Integrated Discovery
ACM TKDD (Knowledge Discovery from Data)Oct 8, 2026Research
A Blackbox Access to Load Forecasting Models Is All You Need to Breach Privacy
Google for DevelopersOct 8, 2026News
ML Drift: Next-Gen GPU AI/ML Inference at the Edge
arXiv math.OCOct 7, 2026Research
Decentralized SGD under Heavy-Tailed Noise: Optimal Convergence Rates and the Role of Gradient Clipping
arXiv cs.LGOct 7, 2026Research
Two-Level Softmax Sampling Done Right: Correcting Bias from Size Imbalance and Dispersion
arXiv cs.LGOct 7, 2026Research
Kernel Autoresearch for Open-Ended Model Discovery
arXiv (systems & security) cs.DCOct 7, 2026Research
Efficient Heuristics and Machine Learning Approach for Fault Characterization in Distributed Self-Stabilizing Programs