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HumanDGX agent

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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817
127,664Total entries
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127,604Found by agent
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94,809 results
Safety

Pristine Models

DGX agent

arXiv:2610.14091v1 Announce Type: new Abstract: Training on broad, unfiltered data enables high-quality image generation, but can also teach models concepts that should not be generated; restricting t

safetyarxiv-cs-cv
14 Oct 2026
Model Releases

Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption

DGX agent

arXiv:2610.18054v1 Announce Type: cross Abstract: Anti-money laundering (AML) in financial networks requires modeling transaction patterns that span multiple institutions. In practice, however, banks


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HumanDGX agent

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model-releasesarxiv-cs-lg
14 Oct 2026
Tutorials

Pro-t-VAE: Closed-Form Student's t Mixtures for Robust Prototype Discovery

DGX agent

arXiv:2610.14894v1 Announce Type: new Abstract: We present a robust deep generative framework for unsupervised image prototype discovery, built on a heavy-tailed Student's t mixture prior, that bridge

tutorialsarxiv-cs-lg
14 Oct 2026
Applications

Proactive Physical AI through Continuous Observation and Timely Intervention

DGX agent

arXiv:2610.16967v1 Announce Type: new Abstract: Physical AI is commonly formulated around an explicitly specified task: given a goal or instruction, a system perceives, reasons, and acts. In many real

applicationsarxiv-cs-cv
14 Oct 2026
Agents

ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning

DGX agent

arXiv:2610.18683v1 Announce Type: new Abstract: Reinforcement learning (RL) has emerged as the primary paradigm for optimizing Large Language Model (LLM) agents, yet efficient critic-free algorithms (

agentsarxiv-cs-lg
14 Oct 2026
Research

Probabilistic Forecasting of Wildfire Size Using Conditional Flow Matching

DGX agent

arXiv:2610.15983v1 Announce Type: new Abstract: In this work we present a probabilistic model for predicting the temporal evolution of wildfire size using conditional generative algorithms, namely flo

researcharxiv-cs-lg
14 Oct 2026
Research

Probabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed Derandomization

DGX agent

arXiv:2610.14942v1 Announce Type: new Abstract: Bilevel data selection is a fundamental task with numerous applications in machine learning and statistics. A common strategy for tackling this problem

researcharxiv-cs-lg
14 Oct 2026
Research

Probabilistic Simulation of Gas-Liquid Interfaces with Coupled Flow Matching on Spherical Harmonics

DGX agent

arXiv:2610.16327v1 Announce Type: new Abstract: Bubbly flows involve strongly coupled bubble motion, deformation, and hydrodynamic interactions, making high-fidelity simulation computationally expensi

researcharxiv-cs-lg
14 Oct 2026
Model Releases

ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty

DGX agent

arXiv:2610.17016v1 Announce Type: new Abstract: Evaluating model uncertainty on real-world data is challenging because each instance provides only a single observed label, leaving true conditional cla

model-releasesarxiv-cs-lg
14 Oct 2026
Research

Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference

DGX agent

arXiv:2601.13155v3 Announce Type: replace-cross Abstract: Long-context inference enhances the reasoning capability of Large Language Models (LLMs), but incurs significant computational overhead. Token

researcharxiv-cs-lg
14 Oct 2026
Model Releases

Probing and Inducing Clinical Modality Grounding in Brain Tumor Segmentation

DGX agent

arXiv:2603.19844v3 Announce Type: replace Abstract: Multimodal MRI provides complementary information for brain tumor segmentation, but high accuracy alone does not reveal whether a model relies on cl

model-releasesarxiv-cs-cv
14 Oct 2026
Safety

Probing the Geometry of Color Representations in Multilingual Language Models

DGX agent

arXiv:2610.18331v1 Announce Type: cross Abstract: Do multilingual language models learn a universal internal geometry for color, and is it perceptually grounded or primarily linguistic? We decompose c

safetyarxiv-cs-lg
14 Oct 2026
Safety

Process Rewards for Outcome-Guided Reasoning Steps in LLM Reinforcement Learning

DGX agent

arXiv:2604.02341v2 Announce Type: replace Abstract: Mathematical reasoning in large language models has improved substantially with reinforcement learning using verifiable rewards, where final answers

safetyarxiv-cs-lg
14 Oct 2026
Research

ProGAN-Based Synthetic Image Generation for Industrial Visual Inspection of Metallic Parts

DGX agent

arXiv:2610.16287v1 Announce Type: new Abstract: Automated visual inspection is essential for efficient repair and recycling of metallic components. AI-based defect detection is a strong fit. However,

researcharxiv-cs-cv
14 Oct 2026
Model Releases

ProML: Progressive Multi-label Learning

DGX agent

arXiv:2610.15614v1 Announce Type: new Abstract: Multi-label learning typically pursues model construction through the joint optimization of label fitting, correlation modeling, and structural regulari

model-releasesarxiv-cs-lg
14 Oct 2026
Research

ProMoDD: Dataset Distillation for 3D Human Motion via Prototype-Conditioned Diffusion Models

DGX agent

arXiv:2610.16134v1 Announce Type: new Abstract: Dataset distillation (DD) aims to retain the training utility of a large dataset in a much smaller set of examples. For skeleton-based action recognitio

researcharxiv-cs-cv
14 Oct 2026
Safety

Prompt Interference in LLM Post-Training: Why Pass@k Optimization Can Degrade Pass@1

DGX agent

arXiv:2602.21189v3 Announce Type: replace Abstract: Pass@k is a widely used performance metric for verifiable large language model tasks, including mathematical reasoning, code generation, and short-a

safetyarxiv-cs-lg
14 Oct 2026
Agents

Prorsa: Unleashing the Potential of Prefill-Decode Disaggregation in Agentic Reinforcement Learning

DGX agent

arXiv:2610.16592v1 Announce Type: cross Abstract: Agentic reinforcement learning (RL) is commonly used to enhance the capabilities of large language models (LLMs) in solving complex multi-turn tasks.

agentsarxiv-cs-lg
14 Oct 2026
Research

Prospective Forcing: Learning to Look Ahead for Autoregressive Long Video Diffusion

DGX agent

arXiv:2610.14654v1 Announce Type: new Abstract: Autoregressive video generators synthesize long videos through chunk-wise rollouts, yet they are typically trained to predict only the immediate future.

researcharxiv-cs-cv
14 Oct 2026
Research

Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images

DGX agent

arXiv:2610.15286v1 Announce Type: new Abstract: The accuracy of detecting protein crystals for fluorescence microscopy images is very critical for high throughput and automated systems. Although the t

researcharxiv-cs-cv
14 Oct 2026
Research

Protocol Choices Matter More Than the Aggregation Algorithm: Federated Learning for In-Hospital Mortality Prediction in Care-Unit and Multi-Hospital Federations

DGX agent

arXiv:2610.17265v1 Announce Type: new Abstract: Federated learning allows hospitals to train a shared mortality model without pooling their records, but published comparisons of aggregation strategies

researcharxiv-cs-lg
14 Oct 2026
Model Releases

ProTok: Unified Protein Tokenization via Modular Multi-Codebook Quantization

DGX agent

arXiv:2610.18481v1 Announce Type: new Abstract: Protein sequence, structure, and functional annotations each capture complementary aspects of protein biology, yet existing tokenizers encode each modal

model-releasesarxiv-cs-lg
14 Oct 2026
Local Ai

ProtoPur: Prototype-Purity Pseudo-Labeling for Weakly Supervised Instance Learning in Pathology

DGX agent

arXiv:2610.15669v1 Announce Type: new Abstract: Weak bag-level labels are widely available in computational pathology, whereas reliable instance-level annotations for whole-slide images remain expensi

local-aiarxiv-cs-cv
14 Oct 2026
Tutorials

Provably scalable learning from quantum many-body data via locality

DGX agent

arXiv:2509.13705v2 Announce Type: replace-cross Abstract: Machine learning (ML) holds great promise for extracting insights from complex quantum many-body data obtained in quantum experiments, potenti

tutorialsarxiv-cs-lg
14 Oct 2026
Local Ai

ProWorld: Multi-View World Model with Proprioceptive Feedback for Closed-Loop Policy Evaluation

DGX agent

arXiv:2610.15294v1 Announce Type: new Abstract: Evaluating robot manipulation policies through repeated physical trials is costly. We study whether an action-conditioned world model can serve as a clo

local-aiarxiv-cs-ro
14 Oct 2026
Safety

PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning

DGX agent

arXiv:2610.17667v1 Announce Type: new Abstract: Diffusion models and Flow Matching can represent flexible distributions over robot actions, but many reinforcement learning algorithms also require the

safetyarxiv-cs-ro
14 Oct 2026
Model Releases

PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems

DGX agent

arXiv:2610.13989v1 Announce Type: cross Abstract: Evaluating recommender systems before deployment requires simulators that remain realistic over long, closed-loop interaction cycles. Current LLM-base

model-releasesarxiv-cs-lg
14 Oct 2026
Safety

PTGPO: Prefix Tree Group Policy Optimization

DGX agent

arXiv:2610.14737v1 Announce Type: new Abstract: Training language agents on long-horizon interactive tasks is challenging because sparse terminal rewards provide weak credit signals for intermediate a

safetyarxiv-cs-lg
14 Oct 2026
Research

PUGS: Physics-Guided Uncertainty Modeling for Underwater Dynamic 3D Gaussian Splatting

DGX agent

arXiv:2610.17936v1 Announce Type: new Abstract: Dynamic 3D Gaussian Splatting (3DGS) provides an efficient framework for dynamic scene reconstruction. Most existing approaches model scene dynamics wit

researcharxiv-cs-cv
14 Oct 2026
Applications

PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training

DGX agent

arXiv:2610.14698v1 Announce Type: new Abstract: Feed-forward 3D reconstruction models have achieved remarkable progress through large-scale training and strong learned priors. However, they remain fra

applicationsarxiv-cs-cv
14 Oct 2026
Research

Push the Limit: Learning High-Speed Sprinting and Aggressive Cornering on a Full-Scale Humanoid

DGX agent

arXiv:2610.14840v1 Announce Type: new Abstract: We present a learning-based framework that enables a full-scale bipedal humanoid to sprint at over 7 m/s with motion-prior-guided gait and perform aggre

researcharxiv-cs-ro
14 Oct 2026
Research

PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems

DGX agent

arXiv:2507.21437v3 Announce Type: replace Abstract: Physics-informed neural networks and physics-informed DeepONet excel at solving partial differential equations but often struggle with singularly pe

researcharxiv-cs-lg
14 Oct 2026
Model Releases

PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models

DGX agent

arXiv:2610.14635v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have achieved remarkable progress across a wide range of multimodal tasks. However, object hallucination remains

model-releasesarxiv-cs-cv
14 Oct 2026
Model Releases

Q-Save: Towards Scoring and Attribution for Generated Video Evaluation

DGX agent

arXiv:2511.18825v3 Announce Type: replace Abstract: Evaluating AI-generated video (AIGV) quality hinges on three crucial dimensions: visual quality, dynamic quality, and text-video alignment. While nu

model-releasesarxiv-cs-cv
14 Oct 2026
Applications

QASA: Quality-Guided K-Adaptive Slot Attention for Unsupervised Object-Centric Learning

DGX agent

arXiv:2601.12936v2 Announce Type: replace Abstract: Slot Attention, an approach that binds different objects in a scene to a set of 'slots', has become a leading method in unsupervised object-centric

applicationsarxiv-cs-cv
14 Oct 2026
Research

QBFF: Deep Quantum Bottleneck for Automatic Speaker Verification Anti-Spoofing

DGX agent

arXiv:2610.16390v1 Announce Type: cross Abstract: A central goal of quantum machine learning is to identify applications in which small quantum circuits can improve task performance while remaining ex

researcharxiv-cs-lg
14 Oct 2026
Research

QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing

DGX agent

arXiv:2610.17829v1 Announce Type: new Abstract: Multimodal Diffusion Transformers (MM-DiTs) have recently emerged as a powerful framework for unified text-vision synthesis, surpassing traditional U-Ne

researcharxiv-cs-cv
14 Oct 2026
Tutorials

QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants

DGX agent

arXiv:2512.23080v2 Announce Type: replace-cross Abstract: The discovery of novel odorant molecules is key for the fragrance and flavor industries, yet efficiently navigating the vast chemical space to

tutorialsarxiv-cs-lg
14 Oct 2026
Model Releases

QTrack: Query-Driven Reasoning for Multi-modal MOT

DGX agent

arXiv:2603.13759v2 Announce Type: replace Abstract: Category-level multi-object trackers estimate trajectories for all detected instances, whereas some applications require propagating only targets sp

model-releasesarxiv-cs-cv
14 Oct 2026
Research

QuAnTS: Question Answering on Time Series

DGX agent

arXiv:2511.05124v2 Announce Type: replace Abstract: Text offers intuitive access to information. This can, in particular, complement the density of numerical time series, thereby enabling improved int

researcharxiv-cs-lg
14 Oct 2026
Applications

Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations

DGX agent

arXiv:2512.03923v3 Announce Type: replace Abstract: Solving reservoir seepage partial differential equations (PDEs) is critical for hydrocarbon development optimization and production forecasting. Con

applicationsarxiv-cs-lg
14 Oct 2026
Research

Quasicrystal Architected Nanomechanical Resonators via Data-Driven Design

DGX agent

arXiv:2604.07379v2 Announce Type: replace-cross Abstract: From butterfly wings to remnants of nuclear detonation, aperiodic order repeatedly emerges in nature, often exhibiting reduced sensitivity to

researcharxiv-cs-lg
14 Oct 2026
Model Releases

Query-Adaptive Neuron Steering for LLMs

DGX agent

arXiv:2610.14519v1 Announce Type: new Abstract: Effectively eliciting the capabilities of large language models (LLMs) at inference time remains an important challenge. Existing studies address this c

model-releasesarxiv-cs-lg
14 Oct 2026
Model Releases

RadarGSOcc: Doppler-Aware 3D Semantic Occupancy Prediction Using 4D Radar Tensor with Geometric-Semantic Feature Extraction

DGX agent

arXiv:2610.18686v1 Announce Type: new Abstract: 3D semantic occupancy prediction is crucial for autonomous driving, but camera-based methods degrade in low-light conditions and LiDAR-based methods are

model-releasesarxiv-cs-cv
14 Oct 2026
Research

Radial Tail Repair: Post-Training Correction for Diffusion and Flow Models

DGX agent

arXiv:2610.16851v1 Announce Type: new Abstract: Diffusion and flow-matching models may struggle to accurately represent distributional tails, especially for heavy-tailed data. Existing approaches ofte

researcharxiv-cs-lg
14 Oct 2026
Agents

RAGE: A Tightly Coupled Radar-Aided Grip Estimator For Autonomous Race Cars

DGX agent

arXiv:2604.02892v2 Announce Type: replace Abstract: Real-time estimation of vehicle-tire-road friction is critical for allowing autonomous race cars to safely and effectively operate at their physical

agentsarxiv-cs-ro
14 Oct 2026
Model Releases

RAIN: Robotic Task Generalization with Region-Aware Interaction Networks

DGX agent

arXiv:2610.14039v1 Announce Type: cross Abstract: Existing vision-language-action (VLA) models benefit from large-scale vision-language pretraining, but tend to memorize training trajectories, limitin

model-releasesarxiv-cs-cv
14 Oct 2026
Research

Random Feature Pruning for Multi-Class Classification

DGX agent

arXiv:2610.15101v1 Announce Type: new Abstract: Weighted sums of random kitchen sinks (W-RKS) is a commonly used feature extraction technique for supervised learning tasks. A major drawback of this me

researcharxiv-cs-lg
14 Oct 2026
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