Search: “models”

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI

arXiv:2508.07872v2 Announce Type: replace-cross Abstract: Uncertainty in artificial intelligence (AI) predictions raises pressing legal and ethical questions for AI-assisted decision-making. This arti

applicationsarxiv-cs-lg

8 Jul 2026

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Research

What Images Cannot Say: Language-Guided Olfactory Representation Learning

DGX agent

arXiv:2607.06402v1 Announce Type: cross Abstract: Images tell us what a scene looks like, but rarely what it would feel like to be there. While recent datasets pair visual scenes with electronic-nose

researcharxiv-cs-ai

8 Jul 2026

When do prophets profit in prediction markets?

arXiv:2607.06166v1 Announce Type: new Abstract: Prediction markets aggregate dispersed beliefs into prices that act as probabilistic forecasts of uncertain events. Classical theory establishes a clean

8 Jul 2026

Tutorials

WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

arXiv:2607.06234v1 Announce Type: new Abstract: Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, d

tutorialsarxiv-cs-cv

8 Jul 2026

A Clustering-Based Framework for Identifying Suspicious Trading Patterns in Capital Market

arXiv:2607.04184v1 Announce Type: new Abstract: Market manipulation is the dubious practice of manipulating stock prices in order to make a quick profit, which truly degrades confidence on trading pla

A Granularity-Aware EEG Feature Framework for Psychopathology Dimension Prediction

arXiv:2607.02670v1 Announce Type: new Abstract: Electroencephalography (EEG) offers a noninvasive approach for examining neurophysiological correlates of dimensional psychopathology, yet systematic ev

Local Ai

A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science Communication

arXiv:2607.05222v1 Announce Type: new Abstract: Charts and images appear together throughout scientific publications, yet most computational work does not characterize their coherence. We argue that a

local-aiarxiv-cs-cv

A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics

arXiv:2607.04680v1 Announce Type: new Abstract: Grain growth is governed by the reduction in grain boundary energy and exhibits well-established statistical scaling laws. Developing data-driven surrog

A Policy Decomposition Framework for Dynamic Order Fulfillment Operations

arXiv:2607.04056v1 Announce Type: cross Abstract: Modern supply chains span diverse operational environments, ranging from e-commerce distribution networks to customized production-to-order manufactur

A Simulation Framework for Electromagnetic Signal Injection Attacks on Image Sensors

arXiv:2408.05124v2 Announce Type: replace-cross Abstract: Image sensors are fundamental to many intelligent systems, allowing visual perception and AI-driven decision-making. However, their integrity

Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI

arXiv:2510.01038v2 Announce Type: replace Abstract: Perturbation-based explainability methods face criticism due to their reliance on out-of-distribution mutants. This raises doubts about the quality

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes

arXiv:2512.14991v2 Announce Type: replace Abstract: We study reinforcement learning for controlled diffusion processes with unbounded continuous state spaces, bounded continuous actions, and polynomia

Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields

arXiv:2507.23033v2 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) provide an energy-efficient computing paradigm for neural rendering, but existing spike-based Neural Radiance Field (

Agents

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection

arXiv:2603.23115v2 Announce Type: replace Abstract: The realism of AI-generated images (AIGI) poses increasing challenges for reliable forensic detection, where heterogeneous expert detectors may prod

agentsarxiv-cs-cv

Agents

Agentic IoT: Architectures, Applications, and Challenges Toward the Internet of Agents

arXiv:2607.04219v1 Announce Type: new Abstract: The integration of AI into Internet of Things (AIoT) systems has gradually transformed them from passive data collection infrastructures into intelligen

agentsarxiv-cs-ai

Agents

Agentic Very Long Video Understanding

arXiv:2601.18157v3 Announce Type: replace Abstract: The advent of always-on personal AI assistants, enabled by all-day wearable devices such as smart glasses, demands a new level of contextual underst

agentsarxiv-cs-cv

Hardware

AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters

Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, respo

hardwarenvidia-blog

Algorithmic Shortlisting in Participatory Budgeting

arXiv:2508.06577v3 Announce Type: replace-cross Abstract: Participatory budgeting is a democratic innovation that allows citizens to propose and vote on public investment projects. To help organizers

An Automated Multimodal Glaucoma Detection Framework Using ViT and a Stacking-Based Ensemble

arXiv:2607.02692v1 Announce Type: new Abstract: Glaucoma is a progressive eye disease that can lead to irreversible vision loss if not detected at an early stage. Conventional diagnostic procedures ar

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

arXiv:2504.18433v3 Announce Type: replace Abstract: Uncertainty quantification is crucial in machine learning, yet most (axiomatic) studies of uncertainty measures focus on classification, leaving a g

Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter

arXiv:2607.02900v1 Announce Type: cross Abstract: On social media, many users actively push back against false claims. Understanding who pushes back and how they do so matters, as this corrective acti

researcharxiv-cs-cl

Anticipatory Reinforcement Learning for Trajectory Tracking

arXiv:2607.03132v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) in industrial control often suffers from lag and overshoot due to purely reactive control based on the current trackin

AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer

arXiv:2607.04677v1 Announce Type: new Abstract: Image-guided style transfer aims to apply the artistic characteristics of a style image to a content image while preserving its semantic structure and l

Applying Answer Set Programming with Fuzzy Membership Functions: a Case Study

arXiv:2607.03550v1 Announce Type: new Abstract: Human reasoning often operates through qualitative concepts expressed by linguistic labels such as high, low, expensive, or cheap, whose interpretation

applicationsarxiv-cs-ai

Industry

As part of Meta's Muse Image rollout, Instagram users with public accounts need to opt out to block AI generations of their content by other users (Reece Rogers/Wired)

Reece Rogers / Wired: As part of Meta's Muse Image rollout, Instagram users with public accounts need to opt out to block AI generations of their content by other users — As part of Meta's Muse Image

industrytechmeme

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects

arXiv:2603.05060v2 Announce Type: replace Abstract: Multi--task learning seeks to improve the generalization error by leveraging the common information shared by multiple related tasks. One challenge

Australian Payments Plus moves faster with ChatGPT and Codex

Australian Payments Plus, a payments platform, improved its development speed and efficiency by integrating OpenAI's ChatGPT and Codex tools into their workflow. The integration enabled faster code ge

applicationsopenai

AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection

arXiv:2604.03329v2 Announce Type: replace-cross Abstract: Automatic violence detection from video is challenging because violent interactions may be distant, occluded, or only partially visible. Audio

safetyarxiv-cs-ai

BAT3R: Bootstrapping Articulated 3D Reconstruction from 2D Image Collections

arXiv:2607.03891v1 Announce Type: new Abstract: 3D reconstruction of articulated objects from a single image is challenging because large training datasets with paired image and 3D supervision are dif

Beyond Isolated Objects: Relationship-aware Open Vocabulary Scene Understanding via 3D Scene Graph Analysis

arXiv:2607.05348v1 Announce Type: new Abstract: Open-vocabulary 3D scene understanding aims to segment 3D scenes beyond predefined categories by transferring semantic knowledge from vision-language mo

Beyond Point-Attached Semantics: Object-Centric Semantic Fields for Generalizable Manipulation

arXiv:2607.03163v1 Announce Type: new Abstract: Generalizable robot manipulation requires stable 3D understanding of functional object parts, such as handles, tool heads, openings, and graspable regio

safetyarxiv-cs-ro

Beyond Random Sampling: Distribution-Aware Alignment for Semi-Supervised Medical Image Segmentation

arXiv:2607.04249v1 Announce Type: new Abstract: Precise medical image segmentation is crucial for clinical diagnosis and treatment planning, yet relies heavily on expensive expert annotations. Semi-su

safetyarxiv-cs-cv

BGP route policies: Top 3 use cases by customer demand

When we first made BGP route policies for Cloud Router generally available over a year ago, our goal was to give network administrators deep, programmable control over how network paths are evaluated

safetygoogle-cloud-ai

Tutorials

Binary Iterative Method for Non-targeted Adversarial Attack

arXiv:2607.04145v1 Announce Type: cross Abstract: Adversarial attacks guide and provide additional training and test data for both adversarial training and adversarial robustness validation, and expos

tutorialsarxiv-cs-cv

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements

arXiv:2607.02796v1 Announce Type: new Abstract: Markerless motion capture (MMC) techniques have been widely beneficial in biomechanical analysis of human movement; however, application to complex moti

Boom also had a board meeting where the board told me to shut the company down. XB-1 hadn’t broken the sound barrier yet. The team deployed …

applicationsemad-mostaque--x

Boom also had a board meeting where the board told me to shut the company down. XB-1 hadn’t broken the sound barrier yet. The team deployed in the Mojave desert was exhausted from months of fighting t

Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation

arXiv:2505.24415v2 Announce Type: replace-cross Abstract: Automated evaluation of movement quality can enhance physiotherapeutic treatment and sports training by providing objective, real-time feedbac

applicationsarxiv-cs-ai

Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search

arXiv:2607.02915v1 Announce Type: cross Abstract: In many scientific and engineering domains, maximizing discovery within a limited sampling budget demands strategic, observation-guided exploration. W

safetyarxiv-cs-ai

Tutorials

C^3ASD: Multi-Level Consistency-Driven Representation Learning

arXiv:2607.03018v1 Announce Type: new Abstract: Active Speaker Detection determines whether a visible person in a video is speaking at each moment. While recent audio-visual fusion methods perform wel

tutorialsarxiv-cs-cv

CaSPECT: Discovering Causally Homogeneous Subgroups via Directed Spectral Clustering

arXiv:2607.03364v1 Announce Type: cross Abstract: We propose extbf{CaSPECT}, a causal spectral clustering framework for discovering causally homogeneous subgroups from observational data. Rather than

CDST: Color Disentangled Style Transfer for Universal Style Reference Customization

arXiv:2506.13770v2 Announce Type: replace Abstract: We introduce Color Disentangled Style Transfer (CDST), a novel and efficient two-stream style transfer training paradigm which completely isolates c

Cell as Point: One-Stage Framework for Efficient Cell Tracking

arXiv:2411.14833v4 Announce Type: replace-cross Abstract: Conventional multi-stage cell tracking approaches rely heavily on detection or segmentation in each frame as a prerequisite, requiring substan

CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation

arXiv:2607.03819v1 Announce Type: cross Abstract: Challenges remain in ego-centric 3D scene generation due to limited view overlap and the dominant influence of individual perspectives on scene interp

Characterizing the Temporal, Emotional, and Social Patterns of Adolescent Substance Use Discussions on Reddit

arXiv:2607.04566v1 Announce Type: new Abstract: Adolescence is a critical developmental period marked by heightened emotional sensitivity, social stress, and vulnerability to substance use. However, t

researcharxiv-cs-cl

Claim-Level Rubric Rewards for Video Caption Reinforcement Learning

arXiv:2607.05150v1 Announce Type: new Abstract: In this paper, we introduce Claim-Level Rubric Rewards (CuRe), a structured reward framework designed to address the reward-design bottleneck in reinfor

safetyarxiv-cs-cv

Classroom Behavior Monitoring with YOLO An Empirical Study in Higher Education Settings

arXiv:2607.02580v1 Announce Type: new Abstract: Classroom behavior monitoring plays a vital role in evaluating student engagement and improving teaching effectiveness. Traditional observation methods

applicationsarxiv-cs-cv

CN-CBF: Composite Neural Control Barrier Function for Robot Navigation in Dynamic Environments

arXiv:2603.06921v2 Announce Type: replace-cross Abstract: Safe navigation of autonomous robots remains one of the core challenges in the field, especially in dynamic and uncertain environments. One pr

Cohort-attention Evaluation Metrics for Tied Data

arXiv:2503.12755v3 Announce Type: replace Abstract: Artificial intelligence (AI) has significantly improved medical screening accuracy, particularly in cancer detection and risk assessment. However, t