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A Comparison of Reinforcement Learning and Optimal Control Methods for Path Planning

arXiv:2604.12628v1 Announce Type: cross Abstract: Path-planning for autonomous vehicles in threat-laden environments is a fundamental challenge. While traditional optimal control methods can find idea

safetyarxiv-cs-ro

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A Dataset and Evaluation for Complex 4D Markerless Human Motion Capture

DGX agent

arXiv:2604.12765v1 Announce Type: new Abstract: Marker-based motion capture (MoCap) systems have long been the gold standard for accurate 4D human modeling, yet their reliance on specialized hardware

safetyarxiv-cs-cv

15 Apr 2026

A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results

arXiv:2407.17182v4 Announce Type: replace Abstract: In this work, we consider the non-invasive medical imaging modality of Electrical Impedance Tomography (EIT), where the goal is to recover the condu

A document is worth a structured record: Principled inductive bias design for document recognition

arXiv:2507.08458v2 Announce Type: replace-cross Abstract: Many document types use intrinsic, convention-driven structures that serve to encode precise and structured information, such as the conventio

safetyarxiv-cs-ai

A Foot Resistive Force Model for Legged Locomotion on Muddy Terrains

model-releasesarxiv-cs-ro

arXiv:2604.12006v1 Announce Type: new Abstract: Legged robots face significant challenges in moving and navigating on deformable and highly yielding terrain such as mud. We present a resistive force m

A General Model for Deepfake Speech Detection: Diverse Bonafide Resources or Diverse AI-Based Generators

model-releasesarxiv-cs-ai

arXiv:2603.27557v2 Announce Type: replace-cross Abstract: In this paper, we analyze two main factors of Bonafide Resource (BR) or AI-based Generator (AG) which affect the performance and the generalit

Applications

A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Prediction

arXiv:2604.11983v1 Announce Type: cross Abstract: In this paper, we propose the geometric algebra-informed neural radiance fields (GAI-NeRF), a novel framework for wireless channel prediction that lev

applicationsarxiv-cs-lg

A Gustav Klimt–style lora for flux

local-air-stablediffusion

This r/StableDiffusion post showcases a community-created LoRA model built for the Flux image generation architecture, designed to replicate the distinctive artistic style of Gustav Klimt (1862–1918),

A hierarchical spatial-aware algorithm with efficient reinforcement learning for human-robot task planning and allocation in production

arXiv:2604.12669v1 Announce Type: new Abstract: In advanced manufacturing systems, humans and robots collaborate to conduct the production process. Effective task planning and allocation (TPA) is cruc

agentsarxiv-cs-ai

A Hybrid Architecture for Benign-Malignant Classification of Mammography ROIs

arXiv:2604.12437v1 Announce Type: new Abstract: Accurate characterization of suspicious breast lesions in mammography is important for early diagnosis and treatment planning. While Convolutional Neura

local-aiarxiv-cs-cv

A jury finds that Live Nation and Ticketmaster illegally maintained monopoly power in the ticketing market, in a case brought by state AGs after the DOJ settled (NBC News)

NBC News: A jury finds that Live Nation and Ticketmaster illegally maintained monopoly power in the ticketing market, in a case brought by state AGs after the DOJ settled — The federal government stru

A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

model-releasesarxiv-cs-lg

arXiv:2603.24626v2 Announce Type: replace-cross Abstract: Background: Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at cellular resolution but is inherently affected by spar

A Layer-wise Analysis of Supervised Fine-Tuning

model-releasesarxiv-cs-ai

arXiv:2604.11838v1 Announce Type: cross Abstract: While critical for alignment, Supervised Fine-Tuning (SFT) incurs the risk of catastrophic forgetting, yet the layer-wise emergence of instruction-fol

A longitudinal health agent framework

arXiv:2604.12019v1 Announce Type: new Abstract: Although artificial intelligence (AI) agents are increasingly proposed to support potentially longitudinal health tasks, such as symptom management, beh

safetyarxiv-cs-ai

A look at the video outpainting workflow in ComfyUI using LTX 2.3. 🎥 Instead of cropping your 16:9 footage for vertical, use this IC-LoRA s…

A look at the video outpainting workflow in ComfyUI using LTX 2.3. 🎥 Instead of cropping your 16:9 footage for vertical, use this IC-LoRA setup to generate the missing space and keep your original fra

local-aicomfyui--x

A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery

arXiv:2604.12772v1 Announce Type: new Abstract: Changes in satellite imagery often occur over multiple time steps. Despite the emergence of bi-temporal change captioning datasets, there is a lack of m

agentsarxiv-cs-cv

A neat trick for better image outputs

A Reddit post from the r/ChatGPT community sharing a user-discovered technique for improving the quality of AI-generated images in ChatGPT, likely involving prompt engineering strategies or workflow a

industryr-chatgpt

Applications

A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes

arXiv:2604.12095v1 Announce Type: cross Abstract: Monitoring binomial proportions across multiple independent streams is a critical challenge in Statistical Process Control (SPC), with applications fr

applicationsarxiv-cs-lg

A Residual-Shell-Based Lower Bound for Ollivier-Ricci Curvature

arXiv:2604.12211v1 Announce Type: new Abstract: Ollivier-Ricci curvature (ORC), defined via the Wasserstein distance that captures rich geometric information, has received growing attention in both th

A Sanity Check on Composed Image Retrieval

model-releasesarxiv-cs-cv

arXiv:2604.12904v1 Announce Type: new Abstract: Composed Image Retrieval (CIR) aims to retrieve a target image based on a query composed of a reference image, and a relative caption that specifies the

A Scoping Review of Large Language Model-Based Pedagogical Agents

arXiv:2604.12253v1 Announce Type: new Abstract: This scoping review examines the emerging field of Large Language Model (LLM)-based pedagogical agents in educational settings. While traditional pedago

agentsarxiv-cs-ai

A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning

arXiv:2603.08291v3 Announce Type: replace Abstract: Multimodal Mathematical Reasoning (MMR) has recently attracted increasing attention for its capability to solve mathematical problems involving both

safetyarxiv-cs-ai

A survey of US teens: ~90% say entertainment is a reason they use TikTok, Instagram, or Snapchat, 57% Snapchat message daily, and 37% say TikTok impacts sleep (Pew Research Center)

Pew Research Center: A survey of US teens: ~90% say entertainment is a reason they use TikTok, Instagram, or Snapchat, 57% Snapchat message daily, and 37% say TikTok impacts sleep — Teens largely turn

A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Sufficient Convergence Conditions and Mixing Time Analysis under Gaussian Targets

arXiv:2603.18640v3 Announce Type: replace-cross Abstract: The No-U-Turn Sampler (NUTS) is the computational workhorse of modern Bayesian software libraries, yet its qualitative and quantitative conver

A TTP analysis finds dozens of nudify apps in Apple and Google app stores via search, despite company policy prohibiting them; the apps earned $122M+ in revenue (Bloomberg)

Bloomberg: A TTP analysis finds dozens of nudify apps in Apple and Google app stores via search, despite company policy prohibiting them; the apps earned $122M+ in revenue — Apple Inc. and Google have

safetytechmeme

Applications

A Two-Stage LLM Framework for Accessible and Verified XAI Explanations

arXiv:2604.12543v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used to translate the technical outputs of eXplainable Artificial Intelligence (XAI) methods into accessib

applicationsarxiv-cs-ai

A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance

arXiv:2505.04494v3 Announce Type: replace-cross Abstract: We study reinforcement learning by combining recent advances in regularized linear programming formulations with the classical theory of stoch

safetyarxiv-cs-lg

A unified data format for managing diabetes time-series data: DIAbetes eXchange (DIAX)

arXiv:2604.11944v1 Announce Type: new Abstract: Diabetes devices, including Continuous Glucose Monitoring (CGM), Smart Insulin Pens, and Automated Insulin Delivery systems, generate rich time-series d

A US judge issues a $322.2M judgment against pirate library Anna's Archive for scraping Spotify, a largely symbolic victory as the site is anonymously operated (Rachel Scharf/Billboard)

Rachel Scharf / Billboard: A US judge issues a $322.2M judgment against pirate library Anna's Archive for scraping Spotify, a largely symbolic victory as the site is anonymously operated — At least fo

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis

arXiv:2604.11927v1 Announce Type: new Abstract: Digital breast tomosynthesis (DBT) is now the standard of care for breast cancer screening in the USA. Accurate segmentation of fibroglandular tissue in

researcharxiv-cs-cv

A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model

arXiv:2405.04108v2 Announce Type: replace-cross Abstract: Recent booming development of Generative Artificial Intelligence (GenAI) has facilitated model commercialization to reinforce the model perfor

researcharxiv-cs-ai

AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin

arXiv:2505.14264v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) has emerged as an effective approach for enhancing the reasoning capabilities of large language models (LLMs), esp

safetyarxiv-cs-cl

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation

arXiv:2604.12969v1 Announce Type: new Abstract: Computational phantoms are widely used in medical imaging research, yet current systems to generate controlled, clinically meaningful anatomical variati

researcharxiv-cs-cv

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

model-releasesarxiv-cs-cl

arXiv:2602.11236v2 Announce Type: replace-cross Abstract: Building general-purpose embodied agents across diverse hardware remains a central challenge in robotics, often framed as the ''one-brain, man

Accel raised 5B, including a 4B Leaders fund, focused on writing large checks to late-stage startups globally, and a 650M sidecar fund, taking AUM to 36B (Rebecca Torrence/Bloomberg)

Rebecca Torrence / Bloomberg: Accel raised 5B, including a 4B Leaders fund, focused on writing large checks to late-stage startups globally, and a 650M sidecar fund, taking AUM to 36B — Accel, the ven

Tutorials

Accelerating decode-heavy LLM inference with speculative decoding on AWS Trainium and vLLM

Speculative decoding is a technique used to accelerate the slow, sequential token generation (decode stage) in LLM inference. This method significantly reduces latency and improves hardware utilizatio

tutorialsaws-ml-blog

Accelerating Speculative Decoding with Block Diffusion Draft Trees

arXiv:2604.12989v1 Announce Type: new Abstract: Speculative decoding accelerates autoregressive language models by using a lightweight drafter to propose multiple future tokens, which the target model

researcharxiv-cs-cl

ACDC: Adaptive Curriculum Planning with Dynamic Contrastive Control for Goal-Conditioned Reinforcement Learning in Robotic Manipulation

arXiv:2603.02104v2 Announce Type: replace Abstract: Goal-conditioned reinforcement learning has shown considerable potential in robotic manipulation; however, existing approaches remain limited by the

agentsarxiv-cs-ro

AceStep XL Tips

local-air-stablediffusion

This r/StableDiffusion post covers community-sourced tips for working with AceStep XL, the 4B-parameter Diffusion Transformer (DiT) variant of ACE-Step 1.5, an open-source AI music generation model .

Active Imitation Learning for Thermal- and Kernel-Aware LFM Inference on 3D S-NUCA Many-Cores

arXiv:2604.11948v1 Announce Type: new Abstract: Large Foundation Model (LFM) inference is both memory- and compute-intensive, traditionally relying on GPUs. However, the limited availability and high

safetyarxiv-cs-lg

Actuation space reduction to facilitate insightful shape matching in a novel reconfigurable tendon driven continuum manipulator

arXiv:2604.12792v1 Announce Type: new Abstract: In tendon driven continuum manipulators (TDCMs), reconfiguring the tendon routing enables tailored spatial deformation of the backbone. This work presen

researcharxiv-cs-ro

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought

arXiv:2501.16154v4 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown impressive multilingual capabilities through pretraining on diverse corpora. Although these models sho

researcharxiv-cs-ai

Adaptive Budget Allocation in LLM-Augmented Surveys

arXiv:2604.12497v1 Announce Type: new Abstract: Large language models (LLMs) can generate survey responses at low cost, but their reliability varies substantially across questions and is unknown befor

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks

model-releasesarxiv-cs-cv

arXiv:2604.12945v1 Announce Type: cross Abstract: Deep neural networks are typically trained by uniformly sampling large datasets across epochs, despite evidence that not all samples contribute equall

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

arXiv:2603.18104v3 Announce Type: replace Abstract: Prevailing AI training infrastructure assumes reverse-mode automatic differentiation over IEEE-754 arithmetic. The memory overhead of training relat

researcharxiv-cs-ai

Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification

arXiv:2604.12647v1 Announce Type: cross Abstract: Automated respiratory audio analysis promises scalable, non-invasive disease screening, yet progress is limited by scarce labeled data and costly expe

researcharxiv-cs-cl

Tutorials

Add Flexibility And Resiliency To Your Cloud With Reserved IPs!

Discover how Vultr's Reserved IPs enhance your cloud environment with robust control, simplified upgrades, and increased redundancy. Allocate specific IPs, streamline server migrations, and eliminate

tutorialsvultr

Add voice to your agent

An experimental voice pipeline for the Agents SDK enables real-time voice interactions over WebSockets. Developers can now build agents with continuous STT and TTS in just ~30 lines of server-side cod

agentscloudflare-ai