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Computer Science Preprint PDF DOI

Digital Guardians: The Past and The Future of Cyber-Physical Resilience

Saurabh Bagchi, Hyunseung Kim, Tarek Abdelzaher, Homa Alemzadeh, Somali Chaterji, Glen Chou, Yuying Duan, Fanxin Kong, Michael Lemmon, Yin Li, Mengyu Liu, Wenhao Luo, Meiyi Ma, Sibin Mohan, Ayan Mukhopadhyay, Melkior Ornik, Dimitra Panagou, Kristin Yvonne Rozier, Ivan Ruchkin, Huajie Shao, Sze Zheng Yong, Majid Zamani, Xugui Zhou ยท 2026

Resilience in cyber-physical systems (CPS) is the fundamental ability to maintain safety and critical functionality despite adverse "perturbations," which includes security attacks, environmental disrโ€ฆ

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Engineering Preprint PDF DOI

CART: Context-Aware Terrain Adaptation using Temporal Sequence Selection for Legged Robots

Kartikeya Singh, Youngjin Kim, Yash Turkar, Karthik Dantu ยท 2026

Animals in nature combine multiple modalities, such as sight and feel, to perceive terrain and develop an understanding of how to walk on uneven terrain in a stable manner. Similarly, legged robots neโ€ฆ

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AI & Data Science Preprint PDF DOI

Mistake gating leads to energy and memory efficient continual learning

Aaron Pache, Mark CW van Rossum ยท 2026

Synaptic plasticity is metabolically expensive, yet animals continuously update their internal models without exhausting energy reserves. However, when artificial neural networks are trained, the netwโ€ฆ

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AI & Data Science Preprint PDF DOI

When Missing Becomes Structure: Intent-Preserving Policy Completion from Financial KOL Discourse

Yuncong Liu, Yuan Wan, Zhou Jiang, Yao Lu ยท 2026

Key Opinion Leader (KOL) discourse on social media is widely consumed as investment guidance, yet turning it into executable trading strategies without injecting assumptions about unspecified executioโ€ฆ

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AI & Data Science Preprint PDF DOI

Doubly Outlier-Robust Online Infinite Hidden Markov Model

Horace Yiu, Leandro Sanchez-Betancourt, Alvaro Cartea, Gerardo Duran-Martin ยท 2026

We derive a robust update rule for the online infinite hidden Markov model (iHMM) for when the streaming data contains outliers and the model is misspecified. Leveraging recent advances in generalisedโ€ฆ

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AI & Data Science Preprint PDF DOI

Seeing Through Experts Eyes A Foundational Vision Language Model Trained on Radiologists Gaze and Reasoning

Kinhei Lee, Peiyuan Jing, Zhenxuan Zhang, Yue Yang, Tao Wang, Dominic C Marshall, Yingying Fang, Guang Yang ยท 2026

Large scale vision language models have shown promise in automating chest Xray interpretation, yet their clinical utility remains limited by a gap between model outputs and radiologist reasoning. Mostโ€ฆ

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Computer Science Preprint PDF DOI

Aerial Multi-Functional RIS in Fluid Antennas-Aided Full-Duplex Networks: A Self-Optimized Hybrid Deep Reinforcement Learning Approach

Li-Hsiang Shen, Yu-Quan Zheng ยท 2026

To address high data traffic demands of sixth-generation (6G) networks, this paper proposes a novel architecture that integrates autonomous aerial vehicles (AAVs) and multi-functional reconfigurable iโ€ฆ

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Physics Preprint PDF DOI

Precision Limits of Multiparameter Markovian-Noise Metrology

Anthony J. Brady, Yu-Xin Wang, Luis Pedro Garcia-Pintos, Alexey V. Gorshkov ยท 2026

Measuring stochastic signals ("noise metrology") constitutes a central task in quantum sensing and the characterization of open quantum systems. Here we establish ultimate precision bounds for multipaโ€ฆ

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AI & Data Science Preprint PDF DOI

Quantum-inspired tensor networks in machine learning models

Guillermo Valverde, Igor Garcia-Olaizola, Giannicola Scarpa, Alejandro Pozas-Kerstjens ยท 2026

Tensor networks were developed in the context of many-body physics as compressed representations of multiparticle quantum states. These representations mitigate the exponential complexity of many-bodyโ€ฆ

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Physics Preprint PDF DOI

Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries

Christopher Whittall, Geraint Pratten ยท 2026

Gravitational waveform templates are a key ingredient for the detection and characterization of gravitational waves emitted by compact binary mergers in the universe. These templates must be physicallโ€ฆ

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AI & Data Science Preprint PDF DOI

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

Team HY-World, Chenjie Cao, Xuhui Zuo, Zhenwei Wang, Yisu Zhang, Junta Wu, Zhenyang Liu, Yuning Gong, Yang Liu, Bo Yuan, Chao Zhang, Coopers Li, Dongyuan Guo, Fan Yang, Haiyu Zhang, Hang Cao, Jianchen Zhu, Jiaxin Lin, Jie Xiao, Jihong Zhang, Junlin Yu, Lei Wang, Lifu Wang, Lilin Wang, Linus, Minghui Chen, Peng He, Penghao Zhao, Qi Chen, Rui Chen, Rui Shao, Sicong Liu, Wangchen Qin, Xiaochuan Niu, Xiang Yuan, Yi Sun, Yifei Tang, Yifu Sun, Yihang Lian, Yonghao Tan, Yuhong Liu, Yuyang Yin, Zhiyuan Min, Tengfei Wang, Chunchao Guo ยท 2026

We introduce HY-World 2.0, a multi-modal world model framework that advances our prior project HY-World 1.0. HY-World 2.0 accommodates diverse input modalities, including text prompts, single-view imaโ€ฆ

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AI & Data Science Preprint PDF DOI

From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space

Yuqiao Tan, Minzheng Wang, Bo Liu, Zichen Liu, Tian Liang, Shizhu He, Jun Zhao, Kang Liu ยท 2026

While reinforcement learning with verifiable rewards (RLVR) significantly enhances LLM reasoning by optimizing the conditional distribution P(y|x), its potential is fundamentally bounded by the base mโ€ฆ

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Physics Preprint PDF DOI

AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data

Zhong-Bo Kang, Luke Sellers, Congyue Zhang, Curtis Zhou ยท 2026

We present an extraction of unpolarized quark transverse-momentum-dependent parton distribution functions (TMD PDFs) from Drell-Yan data within a Bayesian inference framework, incorporating artificialโ€ฆ

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AI & Data Science Preprint PDF DOI

Don't Let the Video Speak: Audio-Contrastive Preference Optimization for Audio-Visual Language Models

Ami Baid, Zihui Xue, Kristen Grauman ยท 2026

While Audio-Visual Language Models (AVLMs) have achieved remarkable progress over recent years, their reliability is bottlenecked by cross-modal hallucination. A particularly pervasive manifestation iโ€ฆ

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AI & Data Science Preprint PDF DOI

Complex Interpolation of Matrices with an application to Multi-Manifold Learning

Adi Arbel, Stefan Steinerberger, Ronen Talmon ยท 2026

Given two symmetric positive-definite matrices $A, B \in \mathbb{R}^{n \times n}$, we study the spectral properties of the interpolation $A^{1-x} B^x$ for $0 \leq x \leq 1$. The presence of `common stโ€ฆ

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AI & Data Science Preprint PDF DOI

Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization

Junzhe Wang, Zhiheng Xi, Yajie Yang, Hao Luo, Shihan Dou, Tao Gui, Qi Zhang ยท 2026

Search agents extend Large Language Models (LLMs) beyond static parametric knowledge by enabling access to up-to-date and long-tail information unavailable during pretraining. While reinforcement learโ€ฆ

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Computer Science Preprint PDF DOI

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation

Xiaofan Zhou, Kyumin Lee ยท 2026

Sequential recommendation has become increasingly prominent in both academia and industry, particularly in e-commerce. The primary goal is to extract user preferences from historical interaction sequeโ€ฆ

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AI & Data Science Preprint PDF DOI

Momentum Further Constrains Sharpness at the Edge of Stochastic Stability

Arseniy Andreyev, Advikar Ananthkumar, Marc Walden, Tomaso Poggio, Pierfrancesco Beneventano ยท 2026

Recent work suggests that (stochastic) gradient descent self-organizes near an instability boundary, shaping both optimization and the solutions found. Momentum and mini-batch gradients are widely useโ€ฆ

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AI & Data Science Preprint PDF DOI

Reinforcement Learning via Value Gradient Flow

Haoran Xu, Kaiwen Hu, Somayeh Sojoudi, Amy Zhang ยท 2026

We study behavior-regularized reinforcement learning (RL), where regularization toward a reference distribution (the dataset in offline RL or the base model in LLM RL finetuning) is essential to preveโ€ฆ

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Engineering Preprint PDF DOI

UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception

Ziming Wang ยท 2026

We present UMI-3D, a multimodal extension of the Universal Manipulation Interface (UMI) for robust and scalable data collection in embodied manipulation. While UMI enables portable, wrist-mounted dataโ€ฆ

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