Papers
Research papers from arXiv and related sources
Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
Mechanical ventilation (MV) is a life-saving intervention for patients with acute respiratory failure (ARF) in the ICU. However, inappropriate ventilator settings could cause ventilator-induced lun...
Hang Yu, Huidong Liu, Qingchen Zhang, William Joy, Kateryna Nikulina, Andreas A. Schuppert, Sina ...
Relaxed Efficient Acquisition of Context and Temporal Features
In many biomedical applications, measurements are not freely available at inference time: each laboratory test, imaging modality, or assessment incurs financial cost, time burden, or patient risk. ...
Yunni Qu, Dzung Dinh, Grant King, Whitney Ringwald, Bing Cai Kok, Kathleen Gates, Aiden Wright, J...
abx_amr_simulator: A simulation environment for antibiotic prescribing policy optimization under antimicrobial resistance
Antimicrobial resistance (AMR) poses a global health threat, reducing the effectiveness of antibiotics and complicating clinical decision-making. To address this challenge, we introduce abx_amr_sim...
Joyce Lee, Seth Blumberg
Fair-Gate: Fairness-Aware Interpretable Risk Gating for Sex-Fair Voice Biometrics
Voice biometric systems can exhibit sex-related performance gaps even when overall verification accuracy is strong. We attribute these gaps to two practical mechanisms: (i) demographic shortcut lea...
Yangyang Qu, Todisco Massimiliano, Galdi Chiara, Evans Nicholas
Teleodynamic Learning a new Paradigm For Interpretable AI
We introduce Teleodynamic Learning, a new paradigm for machine learning in which learning is not the minimization of a fixed objective, but the emergence and stabilization of functional organizatio...
Enrique ter Horst, Juan Diego Zambrano
Human Navigation Behaviour and Brain Dynamics in Real-world Contexts
The study of navigation behaviour and the associated brain dynamics have been a focus increasing research over the last decades. Coinciding with this has been an increased focus on a more ecologica...
Pablo Fernandez Velasco, Antoine Coutrot, Hugo J. Spiers
Hybrid eTFCE-GRF: Exact Cluster-Size Retrieval with Analytical p-Values for Voxel-Based Morphometry
Threshold-free cluster enhancement (TFCE) integrates cluster extent across thresholds to improve voxel-wise neuroimaging inference, but permutation testing makes it prohibitively slow for large dat...
Don Yin, Hao Chen, Takeshi Miki, Boxing Liu, Enyu Yang
FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles
Large language models (LLMs) are increasingly applied to financial analysis, yet their ability to audit structured financial statements under explicit accounting principles remains poorly explored....
Arun Vignesh Malarkkan, Manan Roy Choudhury, Guangwei Zhang, Vivek Gupta, Qingyun Wang, Yanjie Fu...
RewardHackingAgents: Benchmarking Evaluation Integrity for LLM ML-Engineering Agents
LLM agents increasingly perform end-to-end ML engineering tasks where success is judged by a single scalar test metric. This creates a structural vulnerability: an agent can increase the reported s...
Yonas Atinafu, Robin Cohen
Proto-NUX: A prototype telescope for ground-based near-ultraviolet observations
The Near-UV-eXplorer (NUX) is a proposed ground-based, wide-field telescope array with a field of view of $\sim$70 square degrees, designed to operate over the 300-350 nm wavelength range and to ac...
Rasjied Sloot, Rudy Wijnands, Steven Bloemen, Rik ter Horst, Hans Ellermeijer, Alexander Hoogerbrug
COMIC: Agentic Sketch Comedy Generation
We propose a fully automated AI system that produces short comedic videos similar to sketch shows such as Saturday Night Live. Starting with character references, the system employs a population of...
Susung Hong, Brian Curless, Ira Kemelmacher-Shlizerman, Steve Seitz
On Utility Maximization under Multivariate Fake Stationary Affine Volterra Models
This paper is concerned with Merton's portfolio optimization problem in a Volterra stochastic environment described by a multivariate fake stationary Volterra--Heston model. Due to the non-Markovia...
Emmanuel Gnabeyeu
V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation
Generating music that temporally aligns with video events is challenging for existing text-to-music models, which lack fine-grained temporal control. We introduce V2M-Zero, a zero-pair video-to-mus...
Yan-Bo Lin, Jonah Casebeer, Long Mai, Aniruddha Mahapatra, Gedas Bertasius, Nicholas J. Bryan
Chasing RATs: Tracing Reading for and as Creative Activity
Creativity research has privileged making over the interpretive labor that precedes and shapes it. We introduce Reading Activity Traces (RATs), a proposal that treats reading -- broadly defined to ...
Sophia Liu, Shm Garanganao Almeda
Beyond the Illusion of Consensus: From Surface Heuristics to Knowledge-Grounded Evaluation in LLM-as-a-Judge
The paradigm of LLM-as-a-judge relies on a critical assumption, namely that high inter-evaluator agreement indicates reliable and objective evaluation. We present two complementary findings that ch...
Mingyang Song, Mao Zheng, Chenning Xu
LLMGreenRec: LLM-Based Multi-Agent Recommender System for Sustainable E-Commerce
Rising environmental awareness in e-commerce necessitates recommender systems that not only guide users to sustainable products but also minimize their own digital carbon footprints. Traditional se...
Hao N. Nguyen, Hieu M. Nguyen, Son Van Nguyen, Nguyen Thi Hanh
Does AI See like Art Historians? Interpreting How Vision Language Models Recognize Artistic Style
VLMs have become increasingly proficient at a range of computer vision tasks, such as visual question answering and object detection. This includes increasingly strong capabilities in the domain of...
Marvin Limpijankit, Milad Alshomary, Yassin Oulad Daoud, Amith Ananthram, Tim Trombley, Elias Ste...
Leech Lattice Vector Quantization for Efficient LLM Compression
Scalar quantization of large language models (LLMs) is fundamentally limited by information-theoretic bounds. While vector quantization (VQ) overcomes these limits by encoding blocks of parameters ...
Tycho F. A. van der Ouderaa, Mart van Baalen, Paul Whatmough, Markus Nagel
Gravitational Anomaly Measurement in Wide Binaries is Sensitive to Orbital Modeling
Recent work by Chae et al. (2026) reported a gravitational anomaly in 36 wide-binary pairs, finding a gravity boost factor of $γ\equiv G_{\rm eff}/G_{\rm N} \approx 1.60_{-0.14}^{+0.17}$ at low acc...
Serat M. Saad, Yuan-Sen Ting
Task-Aware Delegation Cues for LLM Agents
LLM agents increasingly present as conversational collaborators, yet human--agent teamwork remains brittle due to information asymmetry: users lack task-specific reliability cues, and agents rarely...
Xingrui Gu