All entries

Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis

arXiv:2609.12287v1 Announce Type: cross Abstract: Industrial fault diagnosis often operates with only a handful of labeled fault examples, making few-shot learning attractive for sensor monitoring. St

safetyarxiv-cs-lg

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Robust Underwater Grasping of Sloped Objects with a Waterproof Passive Adaptive Gripper

DGX agent

arXiv:2609.12927v1 Announce Type: new Abstract: Robust grasping of everyday objects remains challenging for parallel-jaw grippers, particularly when handling sloped or asymmetric items that induce tor

safetyarxiv-cs-ro

14 Sept 2026

RodForesight: A World Model Enhanced Diffusion Policy for Slender and Material Agnostic Rod Insertion

arXiv:2609.12103v1 Announce Type: new Abstract: Slender rod insertion arises in precision manufacturing, where millimetre scale diameter and tight clearances demand accurate perception and control. Co

safetyarxiv-cs-ro

RoES: Rotational Equivariant Selective-frequency Fusion for Multimodal Images

arXiv:2609.12497v1 Announce Type: new Abstract: Infrared-visible image fusion facilitates robust multimodal perception by integrating complementary textural nuances from visible sensors with thermal s

RunningTensor: Generalizing Linear Attention to Higher-Order Recurrent States

arXiv:2609.12814v1 Announce Type: new Abstract: Linear attention and state-space models provide linear-time sequence modeling, but their recurrent memory remains a second-order tensor (a matrix), limi

Tutorials

SAGE-Loop: Reliable Closed-Loop LLM-Driven AutoML with Trial-and-Correction and Adaptive Ensembling

arXiv:2609.12455v1 Announce Type: new Abstract: Automated machine learning (AutoML) is reshaping data-driven science and industrial practice, and as large language models are introduced into AutoML, p

tutorialsarxiv-cs-lg

Same Encoder, Different Winner: A Paired-View Framework for Cell Painting Encoder Evaluation

arXiv:2609.12761v1 Announce Type: new Abstract: Vision encoders for Cell Painting are typically ranked by a single evaluation, commonly replicate mean average precision (mAP). We introduce CP-BG-Bench

Sampling via Decision-Flow: Training-Free Extraction of Improved Latent Reasoning Paths in Large Language Models

arXiv:2609.12317v1 Announce Type: new Abstract: A central question in LLM reasoning is whether reinforcement learning (RL) instills genuinely new capabilities or merely reshapes how existing knowledge

Agents

SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking

arXiv:2609.13141v1 Announce Type: new Abstract: Post-training attention sparsification reduces the quadratic cumulative attention cost of pretrained Transformers by selecting a small set of context un

agentsarxiv-cs-cl

Satisficing Regret Minimization in Bandits: Constant Rate and Light-Tailed Distribution

arXiv:2406.06802v4 Announce Type: replace-cross Abstract: Motivated by the concept of satisficing in decision-making, we consider the problem of satisficing regret minimization in bandit optimization.

applicationsarxiv-cs-lg

Scalable Discrete-to-Continuous Channel Simulation for Compression and Privacy

arXiv:2609.12067v1 Announce Type: new Abstract: Channel simulation has recently emerged as a useful component in machine learning systems where samples from a prescribed probability distribution are t

Scaling Online Complex Event Detection with Synthetic Supervision and Mamba-Based Neural Algorithmic Reasoning

arXiv:2502.07250v3 Announce Type: replace Abstract: Modern machine learning models excel at detecting individual actions, sounds, or scene attributes from short, localized observations. However, many

Tutorials

SCDM: Spatial-Contextual Disentanglement Mamba via Differential Inference for Efficient Image Classification

arXiv:2609.12825v1 Announce Type: new Abstract: State Space Models (SSMs), particularly VMamba, have emerged as efficient alternatives for modeling long-range dependencies in medical image analysis. H

tutorialsarxiv-cs-cv

Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving

arXiv:2609.11947v1 Announce Type: cross Abstract: Increasing safety is the primary objective of automated vehicles. Achieving this goal requires reliable safety metrics that incorporate safety-relevan

safetyarxiv-cs-cv

SCOPE-OPSD: Fisher-Conditioned Privileged Subspaces for On-Policy Self-Distillation

arXiv:2609.12579v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) scores student-generated prefixes with a solution-conditioned self-teacher, yet transfers supervision only through ne

safetyarxiv-cs-lg

Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

arXiv:2609.12113v1 Announce Type: new Abstract: Outliers are important for stress-testing algorithms and understanding system behaviour under rare conditions. Despite being commonly described as low-l

SCORE: SubDistribution-aware Collaborative Knowledge Reinforcing for Cloth-Hybrid Lifelong Person Re-Identification

arXiv:2609.12577v1 Announce Type: new Abstract: Lifelong Person Re-Identification (LReID) aims to train a unified person retrieval model from a non-stationary data stream. Existing LReID methods mainl

Self-supervised Pre-training Helps Retinal Disease Progression Modelling Most When Data Is Scarce

arXiv:2609.12834v1 Announce Type: new Abstract: Modelling how a disease progresses over time requires longitudinal imaging cohorts, which are scarce and small, whereas cross-sectional data -- one imag

Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

arXiv:2609.12305v1 Announce Type: cross Abstract: The rapid growth of Distributed Energy Resources (DERs) has significantly expanded the cyber attack surface of modern power grids. Furthermore, increa

Semantically Aligned Gradient-Driven Context-Preserving Image Editing

model-releasesarxiv-cs-cv

arXiv:2609.12691v1 Announce Type: new Abstract: Instruction-guided image editing has a training-time blind spot. Generative editors are never required to semantically verify whether their outputs actu

SIFPBPNet: A Dual-Path Network for Wearable and Cuffless Blood Pressure Estimation via Individualized Steady-state Representation

arXiv:2609.12690v1 Announce Type: new Abstract: Continuous and cuffless blood pressure (BP) monitoring using photoplethysmography (PPG) is of great interest for low-cost and personalized cardiovascula

Simplifying ROS2 controllers with a modular architecture for robot-agnostic reference generation

arXiv:2601.08514v3 Announce Type: replace Abstract: This paper introduces a novel modular architecture for ROS2 that decouples the logic required to acquire, validate, and interpolate references from

researcharxiv-cs-ro

SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning

arXiv:2609.12599v1 Announce Type: new Abstract: Multi-task learning (MTL) requires navigating unavoidable trade-offs among competing objectives. This paradigm is frequently formulated as multi-objecti

Simulating Disengaged Students to Evaluate LLM-based Tutors

arXiv:2609.12331v1 Announce Type: new Abstract: Simulated students generated by computational models provide a practical way to evaluate tutoring strategies and pedagogical approaches used by human an

Single-Query Person-Centric Bimanual Hand-Object Interaction Detection

arXiv:2609.12155v1 Announce Type: new Abstract: Understanding person-level bi-manual interactions requires not only detecting hands, but also identifying which two hands belong to the same person and

Size Doesn't Matter: Material-State Reinforcement Learning for Excavator Transferable Soil Manipulation

arXiv:2609.12677v1 Announce Type: new Abstract: Earthmoving tasks such as excavation, backfilling, or embankment construction require deliberate repositioning of deformable soil. For these tasks, huma

safetyarxiv-cs-ro

SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image

arXiv:2609.13146v1 Announce Type: cross Abstract: Part-aware 3D asset generation enables applications such as editing, articulation, simulation, and fabrication, yet existing methods can generate visu

applicationsarxiv-cs-cv

Local Ai

Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence

arXiv:2609.11959v1 Announce Type: cross Abstract: Space is a foundational concept across mathematics, physics, spatial cognition, urban science, and embodied intelligence, yet these fields often treat

local-aiarxiv-cs-cl

Spectral Consistency-Guided Multiview Point Cloud Registration for Low-Overlap Scenes

arXiv:2609.12417v1 Announce Type: new Abstract: Multiview point cloud registration is particularly challenging in low-overlap scenes, where reliable correspondences are limited and incorrect pairwise

Split Conformal Prediction with Label-Shift-Adjusted Bayesian Scores

arXiv:2609.12386v1 Announce Type: new Abstract: Conformal prediction provides distribution-free uncertainty quantification under exchangeability. However, this assumption is violated by label shift, w

STAR: Sparse Tactile Representation Learning in Vision-Tactile-Language-Action Models for Dexterous Manipulation

arXiv:2609.12549v1 Announce Type: new Abstract: Dexterous manipulation requires coordinated multi-finger control and effective tactile feedback, yet learning these capabilities remains challenging due

applicationsarxiv-cs-ro

Statistical Mechanics of Semantic Compression

arXiv:2503.00612v2 Announce Type: replace-cross Abstract: The basic problem of semantic compression is to minimize the length of a message while preserving its meaning. This differs from classical not

researcharxiv-cs-cl

Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks

arXiv:2501.04234v2 Announce Type: replace-cross Abstract: Modern artificial intelligence is supported by machine learning models (e.g., foundation models) that are pretrained on a massive data corpus

SteerDuplex: Steerable Duplex Speech Dialogue Models

model-releasesarxiv-cs-cl

arXiv:2609.12623v1 Announce Type: cross Abstract: Full-duplex spoken dialogue models support low-latency turn taking, interruption handling, and backchanneling, yet a key capability remains underexplo

Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer

arXiv:2508.11450v2 Announce Type: replace-cross Abstract: Subcortical segmentation in neuroimages plays an important role in understanding brain anatomy and facilitating computer-aided diagnosis of tr

SUCCESS-GS: Survey of Compactness and Compression for Efficient Static and Dynamic Gaussian Splatting

model-releasesarxiv-cs-cv

arXiv:2512.07197v2 Announce Type: replace Abstract: 3D Gaussian Splatting (3DGS) has emerged as a powerful explicit representation enabling real-time, high-fidelity 3D reconstruction and novel view sy

Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders

arXiv:2505.13569v3 Announce Type: replace Abstract: The use of machine learning for modeling, understanding, and controlling large-scale physics systems is quickly gaining in popularity, with examples

SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physiology via Generative Data Augmentation

arXiv:2609.12997v1 Announce Type: new Abstract: Single Ventricle Physiology (SVP) is a rare subtype of congenital heart disease characterized by the presence of a single functional cardiac ventricle w

SWARM: A Multilingual Human-Annotated Dataset for Russian Propaganda Detection in Search Engine Results

model-releasesarxiv-cs-cl

arXiv:2609.12653v1 Announce Type: new Abstract: Russian state propaganda spreads across many languages and online spaces. Yet, most computational work examines only one such space, usually social medi

Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects

arXiv:2210.11003v3 Announce Type: replace-cross Abstract: We propose a generalization of the synthetic control methods to the setting with dynamic treatment effects, in which each unit receives multip

safetyarxiv-cs-lg

SynthSentry: Detecting Synthetic Data Contamination in Language Model Training Data

arXiv:2609.12353v1 Announce Type: new Abstract: Large language models trained recursively on their own or other models' outputs undergo model collapse, in which distributional tails and factual accura

applicationsarxiv-cs-cl

Tasks over Application Manuals: Revealing Gaps in Long-Horizon Procedural Reasoning for Language Models

model-releasesarxiv-cs-cl

arXiv:2609.13005v1 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance on a wide range of natural language tasks, and recent benchmarks suggest that they are inc

Temporal Recurrence Favors Fewer Layers

arXiv:2609.12531v1 Announce Type: new Abstract: In streaming tasks, recurrent models can carry latent computation across time, allowing each update to build on representations produced earlier. This r

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation

model-releasesarxiv-cs-cv

arXiv:2504.04981v3 Announce Type: replace Abstract: This paper studies continual test-time adaptation (CTTA), the task of adapting a model to constantly changing unseen domains in testing while preser

Local Ai

The Battery Price of edge AI: A study of the Environmental Impact of LLM Inference on Mobile Devices

arXiv:2609.11940v1 Announce Type: cross Abstract: The rapid diffusion of generative artificial intelligence raises privacy, latency, and performance concerns that motivate a shift toward 'local-first'

local-aiarxiv-cs-lg

The Cost of Compression: A Rate-Distortion Limit on Factual Hallucination

arXiv:2609.12111v1 Announce Type: new Abstract: Factual hallucination in closed-book question answering is often treated as a coverage problem: a model fails because the relevant fact is absent from i

researcharxiv-cs-cl

The House with a Million Windows: Interactive Fiction for Narrative Restorying

arXiv:2609.12537v1 Announce Type: new Abstract: AI-assisted writing can flatten meaning in human storytelling, enabling the production of homogeneous outputs without the intentional effort and sense-m

applicationsarxiv-cs-cl

The Iterative Equivariant Filter

arXiv:2609.12328v1 Announce Type: cross Abstract: This paper presents the iterative equivariant filter (IterEqF). The iterative extended Kalman filter (IterEKF) replaces the standard EKF correction st

researcharxiv-cs-ro