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Biology & Life Sciences Preprint PDF DOI

Quantum AI for Cancer Diagnostic Biomarker Discovery

Mandeep Kaur Saggi, Amandeep Singh Bhatia, Humaira Gowher, Sabre Kais ยท 2026

Quantum machine learning offers a promising new paradigm for computational biology by leveraging quantum mechanical principles to enhance cancer classification, biomarker discovery, and bioinformaticsโ€ฆ

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Computer Science Preprint PDF DOI

ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection

Benjamin Chou, Yi Zhu, Surya Koppisetti ยท 2026

Audio deepfakes pose a significant security threat, yet current state-of-the-art (SOTA) detection systems do not generalize well to realistic in-the-wild deepfakes. We introduce a novel \textbf{I}n-\tโ€ฆ

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AI & Data Science Preprint PDF DOI

Evaluating Adaptive Personalization of Educational Readings with Simulated Learners

Ryan T. Woo, Anmol Rao, Aryan Keluskar, Yinong Chen ยท 2026

We present a framework for evaluating adaptive personalization of educational reading materials with theory-grounded simulated learners. The system builds a learning-objective and knowledge-component โ€ฆ

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AI & Data Science Preprint PDF DOI

Automated Palynological Analysis System: Integrating Deep Metric Learning and $U^{2}$-Net Detection in $H\infty$ bright field microscopy

J. Staforelli-Vivanco, R. Jofre, B. Munoz, V. Salamanca, P. Coelho, I. Sanhueza, L. Viafora, C. Toro, J. Troncoso, M. Rondanelli-Reyes, I. Lamas ยท 2026

Traditional melissopalynology is a time-consuming and subjective process, often taking 4-6 hours per sample. We present an automated, high-throughput microscopy system that integrates $H\infty$ robustโ€ฆ

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Computer Science Preprint PDF DOI

Teacher-Authored Prompts for Configuring Student-AI Dialogue: K-12 Classroom Implementation

Alex Liu, Min Sun, Lief Esbenshade, Victor Tian, Zachary Zhang, Kevin He ยท 2026

GenAI has rapidly entered instructional and learning settings as a teaching assistant or AI tutor. However, less is known about how pedagogical intent connects to the learning generated within these sโ€ฆ

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AI & Data Science Preprint PDF DOI

Active World-Model with 4D-informed Retrieval for Exploration and Awareness

Elaheh Vaezpour, Amirhosein Javadi, Tara Javidi ยท 2026

Physical awareness, especially in a large and dynamic environment, is shaped by sensing decisions that determine observability across space, time, and scale, while observations impact the quality of sโ€ฆ

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Mathematics Preprint PDF DOI

Multitask LQG Control: Performance and Generalization Bounds

Leonardo F. Toso, Kasra Fallah, Charis Stamouli, George J. Pappas, James Anderson ยท 2026

We study multitask learning for stochastic and partially observed control systems, focusing on the linear quadratic Gaussian (LQG) problem. Our goal is to learn a common stabilizing controller that geโ€ฆ

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AI & Data Science Preprint PDF DOI

Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training

Moein Salimi, Babak Hosseini Mohtasham, Amin Aghakasiri, Mahdi Naieni, Amir Hossein Qeysarbeigi, Mohammad Masih Shalchian Nazer, Zahra Azar, Mahdi Jafari Siavoshani, Mohammad Hossein Rohban ยท 2026

Large Language Models (LLMs) have demonstrated potential in automating scientific ideation, yet current approaches relying on iterative prompting or complex multi-agent architectures often suffer fromโ€ฆ

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AI & Data Science Preprint PDF DOI

Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations

Eva van Tegelen, Taniya Kapoor, George A.K. van Voorn, Peter van Heijster, Ioannis N. Athanasiadis ยท 2026

Developing neural operators that accurately predict the behavior of systems governed by partial differential equations (PDEs) across unseen parameter regimes is crucial for robust generalization in scโ€ฆ

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AI & Data Science Preprint PDF DOI

Chronax: A Jax Library for Univariate Statistical Forecasting and Conformal Inference

Xan Carey, Yash Deshmukh, Aileen Huang, Sunit Jadhav, Omkar Tekawade, Lorraine Yang, Anvesha Tiwary, Gerardo Riano, Amy Greenwald, Denizalp Goktas ยท 2026

Time-series forecasting is central to many scientific and industrial domains, such as energy systems, climate modeling, finance, and retail. While forecasting methods have evolved from classical statiโ€ฆ

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AI & Data Science Preprint PDF DOI

How to Approximate Inference with Subtractive Mixture Models

Lena Zellinger, Nicola Branchini, Lennert De Smet, Victor Elvira, Nikolay Malkin, Antonio Vergari ยท 2026

Classical mixture models (MMs) are widely used tractable proposals for approximate inference settings such as variational inference (VI) and importance sampling (IS). Recently, mixture models with negโ€ฆ

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Engineering Preprint PDF DOI

Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking

Mengyuan Ma, Isuri Welgamage, Ahmed Alkhateeb, A. Lee Swindlehurst, Markku Juntti, Nhan Thanh Nguyen ยท 2026

Beam training and prediction in real-world millimeter-wave (mmWave) communications systems are challenging due to rapidly time-varying channels and strong interference from surrounding objects. In thiโ€ฆ

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Engineering Preprint PDF DOI

Synchronization-Safe Dynamic Microgrid Formation for DER-Led Distribution System Restoration With Constraint-Aware Graph Learning

Cong Bai, Salish Maharjan, Yunyi Li, Wenlong Shi, Zhaoyu Wang ยท 2026

Prolonged blackouts in distribution systems (DSs) with high penetration of distributed energy resources (DERs) necessitate novel restoration strategies to rapidly restore loads. However, the resultingโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning

Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar, Sepideh Gohari, Azim Eskandarian ยท 2026

Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 billion in costs annually.โ€ฆ

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AI & Data Science Preprint PDF DOI

DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees

Argyrios Gerogiannis, Yu-Han Huang, Venugopal V. Veeravalli ยท 2026

We study model-free reinforcement learning (RL) in non-stationary finite-horizon episodic Markov decision processes (MDPs) without prior knowledge of the non-stationarity. We focus on the piecewise-stโ€ฆ

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Engineering Preprint PDF DOI

Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning

Gehan Zheng, Sanjay Seenivasan, Matthew Johnson-Roberson, Weiming Zhi ยท 2026

Imitation learning has enabled robots to acquire complex visuomotor manipulation skills from demonstrations, but deployment failures remain a major obstacle, especially for long-horizon action-chunkedโ€ฆ

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AI & Data Science Preprint PDF DOI

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion

Yuval Haitman, Amit Efraim, Joseph M. Francos ยท 2026

We introduce C-GenReg, a training-free framework for 3D point cloud registration that leverages the complementary strengths of world-scale generative priors and registration-oriented Vision Foundationโ€ฆ

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AI & Data Science Preprint PDF DOI

Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector

Cristiano Fanelli, James Giroux, Cole Granger, Justin Stevens ยท 2026

We present a Mixture-of-Experts-based foundation model applied to the GlueX DIRC detector at Jefferson Lab, demonstrating its utility as a unified framework for fast simulation, particle identificatioโ€ฆ

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AI & Data Science Preprint PDF DOI

From Subsumption to Satisfiability: LLM-Assisted Active Learning for OWL Ontologies

Haoruo Zhao, Wenshuo Tang, Duncan Guthrie, Michele Sevegnani, David Flynn, Paul Harvey ยท 2026

In active learning, membership queries (MQs) allow a learner to pose questions to a teacher, such as ''Is every apple a fruit?'', to which the teacher responds correctly with yes or no. These MQs can โ€ฆ

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Physics Preprint PDF DOI

Physics-Informed Latent Space Dynamics Identification for Time-Dependent NLTE Atomic Kinetics

Jeongwoo Nam, William Anderson, Youngsoo Choi, Hai P. Le, Mark E. Foord, Byoung Ick Cho, Haewon Jeong, Min Sang Cho ยท 2026

Non-local thermodynamic equilibrium (NLTE) calculations remain a major computational bottleneck in radiation--hydrodynamics, while most existing machine-learning surrogates treat NLTE as a static inpuโ€ฆ

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