Papers
Research papers from arXiv and related sources
WARM-CAT: : Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel attribute-object compositions based on the knowledge learned from seen ones. Existing methods suffer from performance degradation cau...
Xudong Yan, Songhe Feng, Jiaxin Wang, Xin Su, Yi Jin
Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy
Foundation models increasingly offer potential to support interactive, agentic workflows that assist researchers during analysis and interpretation of image data. Such workflows often require coupl...
Matthew Sutton, Katrin Amunts, Timo Dickscheid, Christian Schiffer
Verification of Unbounded Client-Server Systems with Distinguishable Clients
Client-server systems are a computing paradigm in concurrent and distributed systems. We deal with unbounded client-server systems (UCS) where all clients are of the same type, interact with a sing...
Ramchandra Phawade, Tephilla Prince, S Sheerazuddin
Cryptographic Fragility of Standard Quantum Repeater Protocols
The security of the proposed quantum Internet relies on repeater protocols designed under the assumption of stochastic, characterizable noise. We demonstrate that in adversarial environments this a...
Abhishek Sadhu, Sharu Theresa Jose
Testing Partially-Identifiable Causal Queries Using Ternary Tests
We consider hypothesis testing of binary causal queries using observational data. Since the mapping of causal models to the observational distribution that they induce is not one-to-one, in general...
Sourbh Bhadane, Joris M. Mooij, Philip Boeken, Onno Zoeter
Phase-Induced Amplitude Apodization Complex Mask Coronagraph (PIAACMC) on-sky demonstration with MagAO-X
Advancing the technological development of small inner working angle (IWA) coronagraphs is essential to enabling high-contrast imaging of temperate exoplanets with future extremely large telescopes...
Elena Tonucci, Sebastiaan Haffert, Warren Foster, Jared Males, Olivier Guyon, Laird M. Close, Kyl...
Kernel Integrated $R^2$: A Measure of Dependence
We introduce kernel integrated $R^2$, a new measure of statistical dependence that combines the local normalization principle of the recently introduced integrated $R^2$ with the flexibility of rep...
Pouya Roudaki, Shakeel Gavioli-Akilagun, Florian Kalinke, Mona Azadkia, Zoltán Szabó
Eating planets makes you younger: The magnetic dynamo rejuvenation of GJ 504 by planetary engulfment
With the discovery of a few thousand exoplanets, questions have been raised regarding star-planet interactions and whether the presence of a companion may affect stellar properties. GJ 504 is an ev...
S. Bellotti, C. Pezzotti, G. Buldgen, A. A. Vidotto, D. Evensberget, E. Magaudda
Chalcogen Impurity Barriers in 2D Systems via Semi-Empirical/Machine Learning Modeling: A Survey over 4000 Materials
Adequate characterization of two-dimensional materials with low energy barriers for impurity adsorption is key for advancing applications based on catalysis, sensing, and surface functionalization....
M. L. Pereira Junior, M. G. E. da Luz, P. Cesana, A. L. da Rosa, M. J. Piotrowski, D. Guedes-Sobr...
permApprox: a general framework for accurate permutation p-value approximation
Permutation procedures are common practice in hypothesis testing when distributional assumptions about the test statistic are not met or unknown. With only few permutations, empirical p-values lie ...
Stefanie Peschel, Anne-Laure Boulesteix, Erika von Mutius, Christian L. Müller
FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning
Multimodal large language models (MLLMs) have substantially advanced video misinformation detection through unified multimodal reasoning, but they often rely on fixed-depth inference and place exce...
Zehao Li, Hongwei Yu, Hao Jiang, Qiang Sheng, Yilong Xu, Baolong Bi, Yang Li, Zhenlong Yuan, Yuju...
A Comparative Study of Structural Representations for 2D Materials: Insights from Dynamic Collision Fingerprint and Matminer
In materials science, the selection of structural descriptors for machine learning protocols strongly influences predictive performance and the degree of physical interpretability that can be achie...
Raphael M. Tromer, Isaac M. Felix, Rafael Besse, Marcelo L. Pereira Junior, Marcos G. E. da Luz
Considering Perspectives for Automated Driving Ethics: Collective Risk in Vehicular Motion Planning
Recent automated vehicle (AV) motion planning strategies evolve around minimizing risk in road traffic. However, they exclusively consider risk from the AV's perspective and, as such, do not addres...
Leon Tolksdorf, Arturo Tejada, Christian Birkner, Nathan van de Wouw
Testing the Weak Gravity Conjecture via Gravitational Lensing, Black Hole Shadows, and Barrow Thermodynamics in F(R)-Euler-Heisenberg (A)dS Black Holes
We investigate the interplay of the Weak Gravity Conjecture (WGC) and the Weak Cosmic Censorship Conjecture (WCCC) in $F(R)$-Euler-Heisenberg black holes in Anti-de Sitter and de Sitter backgrounds...
Saeed Noori Gashti, Izzet Sakalli, Erdem Sucu, Mohammad Reza Alipour, Ankit Anand, Mohammad Ali S...
Quantum Oppenheimer-Snyder Black Holes with a Cloud of Strings Surrounded by Perfect Fluid Dark Matter
In this study, we examine quantum Oppenheimer-Snyder black holes (BHs) embedded within a cloud of strings and immersed in perfect fluid dark matter. Also, beginning with the underlying spacetime ge...
Faizuddin Ahmed, Allan R. P. Moreira, Abdelmalek Bouzenada
WaterVideoQA: ASV-Centric Perception and Rule-Compliant Reasoning via Multi-Modal Agents
While autonomous navigation has achieved remarkable success in passive perception (e.g., object detection and segmentation), it remains fundamentally constrained by a void in knowledge-driven, inte...
Runwei Guan, Shaofeng Liang, Ningwei Ouyang, Weichen Fei, Shanliang Yao, Wei Dai, Chenhao Ge, Pen...
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
With the rapid evolution of Large Language Models, generative recommendation is gradually reshaping the paradigm of recommender systems. However, most existing methods are still confined to the int...
Yang Yu, Lei Kou, Huaikuan Yi, Bin Chen, Yayu Cao, Lei Shen, Chao Zhang, Bing Wang, Xiaoyi Zeng
A Data-Driven Approach to Support Clinical Renal Replacement Therapy
This study investigates a data-driven machine learning approach to predict membrane fouling in critically ill patients undergoing Continuous Renal Replacement Therapy (CRRT). Using time-series data...
Alice Balboni, Luis Escobar, Andrea Manno, Fabrizio Rossi, Maria Cristina Ruffa, Gianluca Villa, ...
Limits on the chiral magnetic effect from the event shape engineering and participant-spectator correlation techniques in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV
The latest experimental studies related to the search for the Chiral Magnetic Effect (CME) in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV recorded with the ALICE detector at the Large Hadron...
ALICE Collaboration
Projection depth for functional data: Practical issues, computation and applications
Statistical analysis of functional data is challenging due to their complex patterns, for which functional depth provides an effective means of reflecting their ordering structure. In this work, we...
Filip Bočinec, Stanislav Nagy, Hyemin Yeon