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HumanDGX agent

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Categories
  • All entries85,115
  • Agents7,313
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  • Hardware1,762
  • Industry6,105
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  • Model Releases22,759
  • Research19,333
  • Safety12,889
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  • Tools1,669
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HumanDGX agent

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Search: “research”

GridTimelineEvolution
26,077 results
Research

Perceptrons and localization of attention's mean-field landscape

DGX agent

arXiv:2601.21366v2 Announce Type: replace Abstract: The forward pass of a Transformer can be seen as an interacting particle system on the unit sphere: time plays the role of layers, particles that of

researcharxiv-cs-lg
14 May 2026
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Research

Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Super-Resolution for Snapshot Compressive Imaging

DGX agent

arXiv:2605.13583v1 Announce Type: new Abstract: Recent advances have demonstrated that coded aperture snapshot spectral imaging (CASSI) systems show great potential for capturing 3D hyperspectral imag

researcharxiv-cs-cv
14 May 2026
Research

Physics Guided Generative Optimization for Trotter Suzuki Decomposition

DGX agent

arXiv:2605.13268v1 Announce Type: cross Abstract: Product formulas for Trotter Suzuki simulation remain a practical route to Hamiltonian evolution on noisy intermediate scale quantum (NISQ) hardware,

researcharxiv-cs-lg
14 May 2026
Research

Physics-informed neural particle flow for the Bayesian update step

DGX agent

arXiv:2602.23089v2 Announce Type: replace Abstract: The Bayesian update step poses significant computational challenges in high-dimensional nonlinear estimation. While log-homotopy particle flow filte

researcharxiv-cs-lg
14 May 2026
Research

Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models

DGX agent

arXiv:2506.19037v4 Announce Type: replace-cross Abstract: Masked diffusion language models (MDLMs) promise fast, non-autoregressive text generation, yet existing samplers, which pick tokens to unmask

researcharxiv-cs-ai
14 May 2026
Research

Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks

DGX agent

arXiv:2602.02791v2 Announce Type: replace-cross Abstract: We study supervised multiclass classification for diffusion processes, where each class is characterized by a distinct drift function and traj

researcharxiv-cs-lg
14 May 2026
Research

Polyhedral Instability Governs Regret in Online Learning

DGX agent

arXiv:2605.13692v1 Announce Type: new Abstract: Many online decision problems over combinatorial actions are addressed via convex relaxations, leading to online convex optimization with piecewise line

researcharxiv-cs-lg
14 May 2026
Research

Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise

DGX agent

arXiv:2605.12648v1 Announce Type: new Abstract: We establish the first population risk bounds for Kolmogorov-Arnold Networks (KANs) trained by mini-batch SGD with gradient clipping, covering non-priva

researcharxiv-cs-lg
14 May 2026
Research

Posterior Bayesian Neural Networks with Dependent Weights

DGX agent

arXiv:2507.22095v5 Announce Type: replace-cross Abstract: We consider fully connected and feedforward deep neural networks with dependent and possibly heavy-tailed weights, as introduced in [26], to a

researcharxiv-cs-lg
14 May 2026
Research

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI

DGX agent

arXiv:2508.14950v2 Announce Type: replace-cross Abstract: 4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its cl

researcharxiv-cs-lg
14 May 2026
Research

Pragmatic Curiosity: A Unified Framework for Hybrid Learning and Optimization via Active Inference

DGX agent

arXiv:2602.06104v2 Announce Type: replace Abstract: Many engineering and scientific workflows rely on expensive black-box evaluations, requiring sequential decisions that must both improve task perfor

researcharxiv-cs-lg
14 May 2026
Research

Preconditioned Flow Matching

DGX agent

arXiv:2603.02337v2 Announce Type: replace-cross Abstract: Flow matching (FM) learns vector fields by regressing stochastic velocity targets along intermediate distributions p_t. We identify a geometri

researcharxiv-cs-ai
14 May 2026
Research

Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints

DGX agent

arXiv:2601.21033v2 Announce Type: replace Abstract: Diffusion models cannot enforce hard constraints, yet applications in the physical sciences demand exact satisfaction of conservation laws, boundary

researcharxiv-cs-lg
14 May 2026
Research

Prediction of Rectal Cancer Regrowth from Longitudinal Endoscopy

DGX agent

arXiv:2605.12855v1 Announce Type: new Abstract: Clinical trial studies indicate benefit of watch-and-wait (WW) surveillance for patients with rectal cancer showing a complete or near clinical response

researcharxiv-cs-cv
14 May 2026
Research

Prime Successor Irreducibility: Turing Machine Complexity, Kolmogorov Complexity, and Weakness-Based Formulations

DGX agent

arXiv:2605.12504v1 Announce Type: cross Abstract: We develop conjectures and theorems expressing the idea that the prime sequence exhibits computational irreducibility in the transition from one prime

researcharxiv-cs-ai
14 May 2026
Research

PRISM: Perinuclear Ring-based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification

DGX agent

arXiv:2605.12851v1 Announce Type: cross Abstract: Automated analysis of peripheral blood smears for Acute Lymphoblastic Leukemia (ALL) is hindered by low contrast and substantial variability in cytopl

researcharxiv-cs-ai
14 May 2026
Research

Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems

DGX agent

arXiv:2512.08411v2 Announce Type: replace Abstract: Model-based planning in robotic domains is challenged by the hybrid nature of physical dynamics, where continuous motion is punctuated by discrete e

researcharxiv-cs-ai
14 May 2026
Research

Profit Maximization in Bilateral Trade against a Smooth Adversary

DGX agent

arXiv:2605.12664v1 Announce Type: cross Abstract: Bilateral trade models the task of intermediating between two strategic agents, a seller and a buyer, who wish to trade a good. We study this problem

researcharxiv-cs-lg
14 May 2026
Research

Provable Quantization with Randomized Hadamard Transform

DGX agent

arXiv:2605.13810v1 Announce Type: new Abstract: Vector quantization via random projection followed by scalar quantization is a fundamental primitive in machine learning, with applications ranging from

researcharxiv-cs-lg
14 May 2026
Research

Pyramid Self-contrastive Learning Framework for Test-time Ultrasound Image Denoising

DGX agent

arXiv:2605.12567v1 Announce Type: cross Abstract: The inherent electronic and speckle noise complicates clinical interpretation of ultrasound images. Conventional denoising methods rely on explicit no

researcharxiv-cs-ai
14 May 2026
Research

QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling

DGX agent

arXiv:2605.13833v1 Announce Type: cross Abstract: Modeling long-range dependencies in sequential data remains a central challenge in machine learning. Transformers address this challenge through atten

researcharxiv-cs-cv
14 May 2026
Research

QSMOTE-PGM/kPGM: QSMOTE Based PGM and kPGM for Imbalanced Dataset Classification

DGX agent

arXiv:2512.16960v2 Announce Type: replace Abstract: Quantum-inspired machine learning (QiML) employs mathematical principles from quantum theory, such as Hilbert-space representations and quantum stat

researcharxiv-cs-lg
14 May 2026
Research

Radial Compensation: Fixing Radius Distortion in Chart-Based Generative Models on Riemannian Manifolds

DGX agent

arXiv:2511.14056v2 Announce Type: replace-cross Abstract: We study the base distribution in chart-based generative models on Riemannian manifolds. Standard methods sample in Euclidean tangent space an

researcharxiv-cs-ai
14 May 2026
Research

Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition

DGX agent

arXiv:2510.19471v2 Announce Type: replace-cross Abstract: Recent work has shown that sample-based Minimum Bayes Risk (MBR) decoding outperforms beam search in text-to-text generation tasks, such as ma

researcharxiv-cs-lg
14 May 2026
Research

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations

DGX agent

arXiv:2605.12813v1 Announce Type: cross Abstract: Large language models (LLMs) achieve strong performance across many tasks but remain vulnerable to hallucinations, motivating the need for realistic a

researcharxiv-cs-ai
14 May 2026
Research

Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO

DGX agent

arXiv:2605.12578v1 Announce Type: cross Abstract: The integration of terahertz communications and ultra-massive multiple-input multiple-output (UM-MIMO) systems in 6G networks is motivated by their ab

researcharxiv-cs-lg
14 May 2026
Research

Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation

DGX agent

arXiv:2510.14244v2 Announce Type: replace-cross Abstract: Domain adaptation methods aim to bridge the gap between datasets by enabling knowledge transfer across domains, reducing the need for addition

researcharxiv-cs-ai
14 May 2026
Research

Relative Pose-Velocity Estimation Using Dual IMU Measurements and Relative Position Sensing

DGX agent

arXiv:2605.13031v1 Announce Type: cross Abstract: This paper addresses the problem of estimating the relative pose (position and orientation) and velocity of a vehicle with respect to a moving target,

researcharxiv-cs-ro
14 May 2026
Research

Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms

DGX agent

arXiv:2411.15913v4 Announce Type: replace-cross Abstract: Music style transfer blends source structure with reference style to enable personalized music creation. However, existing zero-shot methods o

researcharxiv-cs-ai
14 May 2026
Research

Rigel3D: Rig-aware Latents for Animation-Ready 3D Asset Generation

DGX agent

arXiv:2605.13129v1 Announce Type: cross Abstract: Recent 3D generative models can synthesize high-quality assets, but their outputs are typically static: they lack the skeletal rigs, joint hierarchies

researcharxiv-cs-cv
14 May 2026
Research

RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization

DGX agent

arXiv:2603.20527v3 Announce Type: replace Abstract: Preconditioned adaptive methods have gained significant attention for training deep neural networks, as they capture rich curvature information of t

researcharxiv-cs-lg
14 May 2026
Research

Robust and Explainable Bicuspid Aortic Valve Diagnosis Using Stacked Ensembles on Echocardiography

DGX agent

arXiv:2605.13730v1 Announce Type: cross Abstract: Transthoracic echocardiography (TTE) is the first-line imaging modality for diagnosing bicuspid aortic valve (BAV), yet diagnostic performance varies

researcharxiv-cs-ai
14 May 2026
Research

【採用情報】Sakana AIで「Public Sector Specialist」を募集🐟 https://sakana.ai/careers/#public-sector-specialist Sakana AIの最先端技術を官公庁と連携し社会実装していくための ドキュメン…

DGX agent

【採用情報】Sakana AIで「Public Sector Specialist」を募集🐟 https://sakana.ai/careers/#public-sector-specialist Sakana AIの最先端技術を官公庁と連携し社会実装していくための ドキュメンテーション戦略の立案・実行を担っていただきます。 👉 このようなご経験をお持ちの方を募集 ・政府機関での予算要求・政策立案

researchdavid-ha--x
14 May 2026
Research

Sample-Efficient Optimisation over the Outputs of Generative Models

DGX agent

arXiv:2509.23800v3 Announce Type: replace-cross Abstract: Modern generative AI models, such as diffusion and flow matching models, can sample from rich data distributions. However, many applications,

researcharxiv-cs-lg
14 May 2026
Research

Sampling from Flow Language Models via Marginal-Conditioned Bridges

DGX agent

arXiv:2605.13681v1 Announce Type: new Abstract: Flow Language Models (FLMs) are a recently introduced class of language models which adapt continuous flow matching for one-hot encoded token sequences.

researcharxiv-cs-lg
14 May 2026
Research

Saturation-Aware Angular Velocity Estimation: Extending the Robustness of SLAM to Aggressive Motions

DGX agent

arXiv:2310.07844v2 Announce Type: replace Abstract: We propose a novel angular velocity estimation method to increase the robustness of Simultaneous Localization And Mapping (SLAM) algorithms against

researcharxiv-cs-ro
14 May 2026
Research

Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale

DGX agent

arXiv:2605.13684v1 Announce Type: new Abstract: We study the optimal scale at which real-valued function classes exhibit uniform convergence and learnability. Our main result establishes a scale-sensi

researcharxiv-cs-lg
14 May 2026
Research

Scaling Laws for Mixture Pretraining Under Data Constraints

DGX agent

arXiv:2605.12715v1 Announce Type: new Abstract: As language models scale, the amount of data they require grows -- yet many target data sources, such as low-resource languages or specialized domains,

researcharxiv-cs-lg
14 May 2026
Research

SceneGraphVLM: Dynamic Scene Graph Generation from Video with Vision-Language Models

DGX agent

arXiv:2605.13667v1 Announce Type: new Abstract: Scene graph generation provides a compact structured representation for visual perception, but accurate and fast graph prediction from images and videos

researcharxiv-cs-cv
14 May 2026
Research

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation

DGX agent

arXiv:2509.21543v3 Announce Type: replace Abstract: Large Language Models (LLMs) have shown strong promise for robotic task planning, particularly through the automatic generation of symbolic planning

researcharxiv-cs-ro
14 May 2026
Research

Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model

DGX agent

arXiv:2605.12945v1 Announce Type: new Abstract: Shortcut features are often invoked to explain out-of-distribution (OOD) failure, but training correlation, learned shortcut use, and test-time failure

researcharxiv-cs-lg
14 May 2026
Research

Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators

DGX agent

arXiv:2605.12748v1 Announce Type: cross Abstract: Large language models (LLMs) can fluently generate student-like responses, making them attractive as simulated students for training and evaluating AI

researcharxiv-cs-ai
14 May 2026
Research

sketch2symm: Symmetry-aware sketch-to-shape generation via semantic bridging

DGX agent

arXiv:2510.11303v2 Announce Type: replace Abstract: Sketch-based 3D reconstruction remains a challenging task due to the abstract and sparse nature of sketch inputs, which often lack sufficient semant

researcharxiv-cs-cv
14 May 2026
Research

Spectral Flattening Is All Muon Needs: How Orthogonalization Controls Learning Rate and Convergence

DGX agent

arXiv:2605.13079v1 Announce Type: cross Abstract: Muon orthogonalizes the momentum buffer before each update, replacing its singular values with ones via Newton-Schulz iterations. This simple change l

researcharxiv-cs-ai
14 May 2026
Research

Stable Attention Response for Reliable Precipitation Nowcasting

DGX agent

arXiv:2605.13181v1 Announce Type: cross Abstract: Precipitation nowcasting remains challenging due to the highly localized, rapidly evolving, and heterogeneous nature of atmospheric dynamics. Although

researcharxiv-cs-ai
14 May 2026
Research

State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives

DGX agent

arXiv:2605.13127v1 Announce Type: cross Abstract: Determinantal point processes (DPPs) have emerged as a kernelized alternative to vanilla independent sampling for generating efficient minibatches, co

researcharxiv-cs-lg
14 May 2026
Research

Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts

DGX agent

arXiv:2605.12890v1 Announce Type: cross Abstract: The rapid advancement of large language models (LLMs) has made machine-generated text increasingly difficult to distinguish from human-written text. W

researcharxiv-cs-lg
14 May 2026
Research

Strategic PAC Learnability via Geometric Definability

DGX agent

arXiv:2605.13426v1 Announce Type: new Abstract: Strategic classification studies learning settings in which individuals can modify their features, at a cost, in order to influence the classifier's dec

researcharxiv-cs-lg
14 May 2026
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