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Machine Learning
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The newest 5,000 papers, from 12 October 2026 to 5 November 2026: 5,000 arXiv preprints.
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Newest papers, page 74
LLM-guided Planar Loco-Manipulation for Quadruped Robots
Robotic navigation typically assumes a collision-free route to the goal exists; in cluttered environments with movable obstacles, however, reaching the goal may require physical interaction.Conformal Annotation with Randomized Expert Review: Application to Online Cell-Type Labeling
Artificial intelligence (AI) models can accelerate cell-type annotation in digital pathology, but safely scaling their use requires determining, with error control, which model-generated labels can…Confidence-Aware Speed-over-Ground Estimation from Doppler Spectra via Reconstruction-Based Representation Learning
Reliable speed-over-ground estimation from ground-facing Doppler spectra is essential for mobile platforms such as railway systems.Statistical Analysis of Synthetic Data with Verification: A Linear Regression Framework
Synthetic data are widely used for training modern AI systems.Learned Terminal Costs for Short-Horizon Model Predictive Control of Autonomous Trucks in Interactive Highway Traffic
Autonomous highway driving for heavy-duty trucks is a challenging control problem.From MS/MS evidence to adaptive spectroscopic characterization: Reinforcement learning guided by candidate molecular structures
Small-molecule identification from tandem mass spectrometry (MS/MS) may require complementary measurements.Latent Prediction Yields Cross-Subject Alignable Representations in Sensory-Evoked fMRI
Decoding sensory-evoked functional magnetic resonance imaging (fMRI) data is a central analytical tool in cognitive neuroscience.Latent Path Exploration via Potential-Guided Subtrajectory Balance
Continuous latent reasoning enables language models to perform intermediate computation without generating explicit reasoning traces.Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets
Large language model serving is limited by facility power.DolphinRouting: Cluster-Level Binary Routing for Disaggregated LLM Inference Serving
Prefill-decode (PD) disaggregation isolates the two phases of large language model serving, but request-level path selection must account for prefill work, cache reuse, and decode demand.Causal-prior-constrained deep learning for rapid-intensification warning of western North Pacific tropical cyclones
Rapid intensification (RI) is one of the most dangerous and unpredictable phases of tropical cyclones, and its environmental and structural drivers are difficult to identify and separate in…Rimuru: Unified Memory Management for Modern LLM Serving via Elastic Expert Offloading
Modern LLMs strain device memory through large model weights and attention states, particularly in resource-constrained scenarios.How to Loop Your Transformer: Loop Scaling, Specialization, and Parallel Inference
Looping in transformer models reuses weights by repeatedly applying the same transformer, or parts of it, making the model deeper without increasing its parameter count.Factorized Representations of Concurrent Temporal Variables in Pretrained Language Models
Language models often need to maintain multiple contextual variables that evolve independently within a document.Multistep and Multivariate Time Series Explainability with GradientSHAP: A Wind Power Case Study
As the effects of climate change become increasingly apparent, the demand for renewable energy sources such as wind power continues to grow.A Unified Hessian-Guided Framework for Post-Training Quantization
Low-bit quantization enables efficient deployment of large language models by reducing memory footprint and computational cost.Your LR Schedule May Not Be Principled: Effective Learning Rate Scheduling in Weight-Normalized Training
Weight-normalized (WN) training is emerging as a compelling alternative to conventional weight decay (WD), with recent studies reporting substantial pretraining loss gains.Is It the Curriculum or Just the Easy Start? Benchmarking Unsupervised Environment Design on Quadrupeds
Unsupervised environment design (UED) methods such as PLR, ACCEL, SFL and PAIRED are compared mostly on 2D mazes, grid worlds and BipedalWalker, while terrain curricula for legged robots are…Composing and Steering Diffusion Models with Generalized Feynman-Kac Correctors
Diffusion models have become the leading paradigm in generative modeling, yet many applications require sampling from distributions that are not those of any single pretrained model, but are instead…Deep Learning Based Behavioral Drift Modeling for Continuous Biometric Authentication
This research proposes a two-level keystroke dynamics authentication system that provides defense-in-depth security through continuous behavioral drift monitoring.