Latest AI Research (from arXiv)

• Inferring response times of perceptual decisions with Poisson variational autoencoders

  Many properties of perceptual decision making are well-modeled by deep neural networks. However, such architectures typically treat decisions as instantaneous readouts, overlooking the temporal dynami...

• ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation

  Recent text-to-image (T2I) models have made remarkable progress in generating visually realistic and semantically coherent images. However, they still suffer from randomness and inconsistency with the...

• Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models

  In this work, we estimate the intrinsic dimension (iD) of the Radio Galaxy Zoo (RGZ) dataset using a score-based diffusion model. We examine how the iD estimates vary as a function of Bayesian neural ...

• PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision--Language Models

  Large vision-language models (LVLMs) are powerful, yet they remain unreliable due to object hallucinations. In this work, we show that in many hallucinatory predictions the LVLM effectively ignores th...

• Experience-Guided Adaptation of Inference-Time Reasoning Strategies

  Enabling agentic AI systems to adapt their problem-solving approaches based on post-training interactions remains a fundamental challenge. While systems that update and maintain a memory at inference ...

• Volumetric Ergodic Control

  Ergodic control synthesizes optimal coverage behaviors over spatial distributions for nonlinear systems. However, existing formulations model the robot as a non-volumetric point, but in practice a rob...

• Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping

  The deployment of decision-making AI agents presents a critical challenge in maintaining alignment with human values or guidelines while operating in complex, dynamic environments. Agents trained sole...

• Human-AI collaborative autonomous synthesis with pulsed laser deposition for remote epitaxy

  Autonomous laboratories typically rely on data-driven decision-making, occasionally with human-in-the-loop oversight to inject domain expertise. Fully leveraging AI agents, however, requires tightly c...

• A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication

  In semi-decentralized federated learning, devices primarily rely on device-to-device communication but occasionally interact with a central server. Periodically, a sampled subset of devices uploads th...

• Private Frequency Estimation Via Residue Number Systems

  We present \textsf{ModularSubsetSelection} (MSS), a new algorithm for locally differentially private (LDP) frequency estimation. Given a universe of size $k$ and $n$ users, our $\varepsilon$-LDP mecha...

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