Preprints 2025

Applied Data Science Track

Fostering Responsibility in Email Marketing: A Contextual Restless Bandit Framework

Ibtihal EL MIMOUNI, Konstantin AVRACHENKOV

Preprint

Do Protein Transformers Have Biological Intelligence?

Fudong Lin, Wanrou Du, Jinchan Liu, Tarikul Milon, Shelby Meche, Wu Xu, Xiaoqi Qin, Xu Yuan

Preprint

Attribute-Aware Sequential Recommendation Model for Used Car Auctions

Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lukas Hestermeyer, Radoslaw Wlodarczyk, Maximilian Stubbemann, Lars SchmidtThieme

Preprint

WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care

Vanessa Borst, Timo Dittus, Tassilo Dege, Astrid Schmieder, Samuel Kounev

Preprint

CARIS: Cache Affinity-aware Reinforced Intelligent Strategy

Yu Zuo, Yanlei Shang

Preprint

On Identifying Fast Road Races: Decomposing Race Conditions and Individual Performance Level

Klaus Brinker

Preprint

Enhancing Dynamic Control of Inertial District Energy Networks Through a Physics-Informed State-Space Model

Taha Boussaid, François Rousset, Marc Clausse, VasileMarian Scuturici

Preprint

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration For Exosuit Personalization

Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor Walsh, Giuseppe Casalicchio

Preprint

Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation

Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lars SchmidtThieme

Preprint

Contextual Hypernetwork for Adaptive Prediction of Laser-Induced Colors on Quasi-Random Plasmonic Metasurfaces

Thibault GIRARDIN, Nathalie Destouches, Amaury Habrard

Preprint

Collaborative Interest-Aware Graph Learning for Group Identification

Rui Zhao, Beihong Jin, Beibei Li, Yiyuan Zheng

Preprint

Supply Framework of Physical Machine Demand in Elastic Computing Service

Zhanyu Liu, Xudong Zhang, Zhidong Hu, Xiejing Li, Fei Peng, Jian Zhou, Siyu Deng, Guanjie Zheng

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Improving Pricing Recommendations Using Nearest Neighbors Retrieval Via Contrastive Learning and Hard Negatives Mining

Eyal Mazuz, Gilad Fuchs, Alex Nus, Lior Rokach, Bracha Shapria

Preprint

Transaction Categorization with Relational Deep Learning

Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao, Ayan Acharya, Maria Kissa, Mauricio Flores, Nitesh Chawla, Kamalika Das

Preprint

RAID: Root cause Anomaly Identification and Diagnosis

Joël Ky, Bertrand Mathieu, Abdelkader Lahmadi, Minqi Wang, Nicolas Marrot, Raouf Boutaba

Preprint

Understanding Rumen Methanogen Interactions in Sheep Using Machine Learning

Katharina Dost, Steffen Albrecht, Paul Maclean, Jörg Wicker, Sandeep K Gupta

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HAGAPS: Hierarchical Attentive Graph Neural Networks for Predicting Alternative Polyadenylation Site Quantification

Eleni Giovanoudi, Dimitrios Rafailidis

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Proactive Detection of Model Degradation in Financial Fraud Prediction Under Label Delay

Akshay Sethi, Priyanshi Gupta, Sparsh Kansotia, Kamal Kant, Nitish Srivasatava

Preprint

ActiveVisium: Leveraging Active Learning to Enhance Manual Pathologist Annotation in 10x Visium Spatial Transcriptomics Experiments

Jelica Vasiljeivc, Ines Berenguer Veiga, Kerstin Hahn, Petra Schwalie, Alberto Valdeolivas

Preprint

On the Performance of LLMs for Real Estate Appraisal

Margot Geerts, Manon Reusens, Bart Baesens, Seppe vanden Broucke, Jochen De Weerdt

Preprint

Fairness is in the details : Face Dataset Auditing

Valentin Lafargue, Emmanuelle Claeys, JeanMichel Loubes

Preprint

Iterative Corpus Refinement for Materials Property Prediction Based on Scientific Texts

Lei Zhang, Markus Stricker

Preprint

Continuous Learning of Ordinal User Preferences on Wearable Devices

Simon Weinberger, Jairo Cugliari, Aurélie Le Cain

Preprint

Low Visibility Forecasting Using Numerical Weather Prediction Data

Topon Paul, Vidhisha Reddy Pvt Ltd, Sai Prem Kumar Ayyagari Pvt Ltd, Ryusei Shingaki, Kaneharu Nishino, Yoshiaki Shiga

Preprint

Sparsifying instance segmentation models for efficient vision-based industrial recycling

Melanie Neubauer, Ozan Özdenizci, Justus Piater, Elmar Rueckert

Preprint

Ordinal Aligned Domain Generalization for Sensor-based Time Series Regression

Yunchuan Shi, Wei Li, Albert Zomaya

Preprint

Enforcing vector space stability in embeddings with evolving vocabularies: a web-app behavior perspective

Asier Rodriguez, Ignacio Sisamón, Ignacio Esplugues, Daniel Sánchez, Joel Sánchez

Preprint

Legend-Informed Symbol Recognition in Engineering Diagrams with Self-Supervised Learning

Antonia Hain, Simon Gölzhäuser, Nicolas Réhault, Thomas Brox, Matthias Demant

Preprint

Forecasting Irregularly Sampled Time Series with Transformer Encoders

Riccardo Benassi, Francesco Del Buono, Giacomo Guiduzzi, Francesco Guerra

Preprint

Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source Communities

Xin Liu, Hang Su, Xuesong Lu

Preprint

CNN-Transformer with Absolute Position Encoding Optimized for Low-Dimensional Inputs: Applied to Estimate Sliding Drop Width

Sajjad Shumaly, Fahimeh Darvish, Mahsa Salehi, Navid Mohammadi Foumani, Oleksandra Kukharenko, HansJürgen Butt, Ulrich Schwanecke, Rüdiger Berger

Preprint

Preserving the World Heritage: Post-Earthquake Monitoring based on Structural Break Testing with Deep Temporal Convolutional Features

Francesco Dente, Andy Combey, Alix Lhéritier, Rodrigo AcunaAgost, Diego Mercerat

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Physics-Based Region Clustering to Boost Inference on Computational Fluid Dynamics Flow Fields

Riccardo Margheritti, Onofrio Semeraro, Maurizio Quadrio, Giacomo Boracchi

Preprint

Near-infrared Spectroscopy and Image Classification of Refuse Derived Fuels to Increase Cement Production Quality

Jonas Fischer, Luca Fehler, Kevin Treiber, Viktor Scherer

Preprint

Federated Learning towards the unknown: a deep dive into diabetic retinopathy prediction from real-world EHR structured data on unseen diabetic centers

Alessandro Cacciatore, Mariachiara Di Cosmo, Emanuele Frontoni, Michele Bernardini

Preprint

CESI: Sparse Input Spatial Interpolation for Heterogeneous and Noisy Hybrid Wireless Sensor Networks

Chaofan Li, Till Riedel, Michael Beigl

Preprint

InterDiff: Synthesizing Financial Time Series with Inter-Stock Correlations via Classifier-Free Guided Diffusion

HouWan Long, Zoufei Tang, Jianhui Zhang, Zhuoyang Zhan, Tao Lu, Xiaoquan Zhang

Preprint

Longitudinal Survey are Texts: LLM-enhanced Analysis of School Attendance in New Zealand

Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam JangJones, Susan Morton, Kane Meissel, Yun Sing Koh

Preprint

KCLNet: Physics-Informed Power Flow Prediction via Hyperplane Projections

Panteleimon Dogoulis, Karim Tit, Maxime Cordy

Preprint

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety

Enes Oezeren, Alexander Ulbrich, Sascha Filimon, David Ruegamer, Andreas Bender

Preprint

SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Prediction in Oncology

Paul Minchella, Loic Verlingue, Stéphane Chrétien, Remi Vaucher, Guillaume Metzler

Preprint

Progressive Decomposition-enhanced Time-Varying Graph Neural Network for Traffic Forecasting

Jianuo Ji, Hongbin Dong, Xiaoping Zhang

Preprint

Offline Reinforcement Learning for Community-Acquired Pneumonia Management: A Feasibility Study

Alex Beeson, Keith Couper, Giovanni Montana

Preprint

Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants

Yorick Estievenart, Sukanya Patra, Souhaib Ben Taieb

Preprint

Automating Geospatial Vision Tasks with a Large Language Model Agent

Yuxing Chen, Weijie Wang, Camille Kurtz, Sylvain Lobry

Preprint

Harnessing Mixed Features for Imbalance Data Oversampling: Application to Bank Customers Scoring

Abdoulaye SAKHO, Emmanuel MALHERBE, CarlErik GAUTHIER, Erwan SCORNET

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Text Mining from Migration Narratives

David ING, Fabien Delorme, Said Jabbour, Nelly Robin, Lakhdar Sais

Preprint

Who is at Risk? Analyzing the Risk of Radicalization Among Reddit Users

Ece Calikus, Gianmarco De Francisci Morales, Aristides Gionis

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Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems.

Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

Preprint

A Benchmark to Evaluate LLMs’ Proficiency on Italian Student Competencies

Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Antonio Serino, Andrea Seveso

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Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics

Pascal Plettenberg, André Alcalde, Bernhard Sick, Josephine Thomas

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Sequential Rule Analysis of ICU Patient Vital Signals and Alarms

Michela Venturini, Len Feremans, Wouter De Corte, Celine Vens

Preprint

Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Coupon Strategies

Fangzhou Shi, Xiaopeng Ke, Xinye Xiong, Kexin Meng, Chang Men, Zhengdan Zhu

Preprint

Denoising Diffusion Implicit Models for Laser-Plasma Accelerator Simulation Trained With Physical Constraint Loss

Matej Jech, Gabriele Maria Grittani, Carlo Maria Lazzarini, Alexander Kovalenko

Preprint

TempEHR: A Temporal Dependency-Based Approach for Synthesizing Electronic Health Records

Emmanuella Budu, Amira Soliman, Farzaneh Etminani, Thorsteinn Rögnvaldsson

Preprint

Talk Is Cheap, Energy Is Not: Towards a Green, Context-Aware Metrics Framework for Automatic Speech Recognition

Maria Ulan, Erik Johannes Husom, Jeriek Van den Abeele

Preprint

Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management Problem

Abhijeet Pendyala, Tobias Glasmachers

Preprint

Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling

Jules Désir, Vincent Auriau, Martin Moina, Emmanuel Malherbe

Preprint

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks

Fabien Bernier, Maxime Cordy, Yves Le Traon

Preprint

Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach

Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz

Preprint

Personalized Contest Recommendation in Fantasy Sports

madiraju srilakshmi, kartavya kothari, kamlesh marathe

Preprint

Enhancing Detection of Leishmania spp. Amastigotes in Canine Lymph Node Smear Images: Evaluating the Effectiveness of Synthetic Data in Augmenting Existing Datasets

Dimitrios Tsikos, Irene Chatzipanagiotidou, Dimitris Dimitriadis, Constantina Tsokana, George Valiakos, Labrini Athanasiou, Grigorios Tsoumakas

Preprint

A Scalable Approach for Unified Large Events Models in Soccer

Tiago MendesNeves, Luís Meireles, João MendesMoreira

Preprint

TIDS: A Thermal Imaging Dataset for Subclinical Mastitis in Dairy Sheep

George Mpotsoglou, Marios Lysitsas, Dimitris Dimitriadis, Constantina Tsokana, George Valiakos, Grigorios Tsoumakas

Preprint

Density-aware Walks for Coordinated Campaign Detection

Atul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas, A Erdem Sariyuce

Preprint

Graph Neural Networks for Jamming Source Localization

Dania Herzalla, Willian Tessaro Lunardi, Martin Andreoni

Preprint

Urban Verticalization and Water Consumption: A Data-Driven approach for São Paulo

Arthur Rezende, André Carvalho

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Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection

Ricardo Pereira, Jacopo Bono, Hugo Ferreira, Pedro Bizarro, Carlos Soares, Pedro Ribeiro

Preprint

A Dynamic Ensemble and Replaying Model for Online Marine Observation Data Prediction

Xiang Li, Xi Fu, Congqi Lin, Xiangkai Wang, Yuhang Zhang, Hao Wang, Zhigang Zhao, Meihong Yang, Yinglong Wang

Preprint

Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning

Gabriel Pinheiro, Marcos Quiles, Juarez Da Silva, Xiaoli Fern

Preprint

Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble

HanJun Choi, Hyunsung Kim, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, SangKi Ko

Preprint

TempoBiGen: A Curated Generative Model for Healthcare Mobility Logs with Visit Duration

Hieu Vu, Alberto Segre, Bijaya Adhikari

Preprint

Fourier-Enhanced Adaptive Manifold Latent Feature Analysis for Spatiotemporal Signal Recovery

yuting ding, jianyong zheng, fei mei, ang gao

Preprint

From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images

Sebastian Hönel, Jonas Nordqvist

Preprint

Research Track

The Architecture and Evaluation of Bayesian Neural Networks

Alisa Sheinkman, Sara Wade

Preprint

UCB-driven Utility Function Search for Multi-objective Reinforcement Learning

Yucheng Shi, David Lynch, Alexandros Agapitos

Preprint

Unimodal Strategies in Density-Based Clustering

Oron Nir, Jay Tenenbaum, Ariel Shamir

Preprint

Unsupervised Surrogate Anomaly Detection

Simon Klüttermann, Tim Katzke, Emmanuel Müller

Preprint

SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation

Adam Goodge, Bryan Hooi, Jingyi Liao, Yongyi Su, Wee Siong Ng, Xun Xu, Xulei Yang

Preprint

RandomAD: A Random Kernel-based Anomaly Detector for Time Series

Wenjie Xi, Jessica Lin

Preprint

Federated Time Series Generation on Feature and Temporally Misaligned Data

Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Chen

Preprint

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack

Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan

Preprint

Analyzing and Correcting Biased Machine Learning-Based Tuning of Weight Shrinkage in Forecast Combination

Veronika Wachslander

Preprint

BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection

Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng

Preprint

Hybrid Cross-domain Robust Reinforcement Learning

Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung Tran, Sunil Gupta

Preprint

Gx2Mol: De Novo Generation of Hit-like Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

Preprint

ST-LoRA: Low-rank Adaptation for Spatio-temporal Forecasting

Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang

Preprint

Community-Aware Graph Transformer: Preserving Community Semantics for Effective Global Aggregation

Yutai Duan, jie liu, jianhua wu, jialin liu

Preprint

A QUBO Framework for Team Formation

Karan Vombatkere, Evimaria Terzi, Theodoros Lappas

Preprint

Learning from Stochastic Teacher Representations using Student-Guided Knowledge Distillation

Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Koerich, Ali Etemad, Eric Granger

Preprint

Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing

Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin ASTAR Singapore, Hengyu Liu, Ge Yu

Preprint

Enriching Category Representations with LLMs Towards Robust Zero-Shot OOD Detection

Dian Chao, Yuxuan Zhang, Luping Zhou, Yang Yang

Preprint

Single-fold Distillation for Diffusion models

Chi HONG, Jiyue Huang, Robert Birke, Dick Epema, Stefanie Roos, Lydia Y Chen

Preprint

DRNCS: Dual-Level Route Generation Model Based on Node Contraction and Shortcuts

Zhuoran Li, Yucen Gao, Yu Yin, Xinle Li, Hui Gao, Xiaofeng Gao, Guihai Chen

Preprint

Inconsistent Reasoning Attacks to Identify Weaknesses in Automatic Scientific Claim Verification Tools

Md Athikul Islam, Noel Ellison, Bishal Lakha, Edoardo Serra

Preprint

Adaptive Options for Decision Trees in Evolving Data Stream Classification

Daniel NowakAssis, Jean Paul Barddal, Fabrício Enembreck

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Pareto Multi-Objective Alignment for Language Models

Qiang He, Setareh Maghsudi

Preprint

Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network

Fan Liu, Siqi Lai, Yansong Ning, Hao Liu

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Variance-Based Defense Against Blended Backdoor Attacks

Sujeevan Aseervatham, Achraf Kerzazi, Younès Bennani

Preprint

Bayesian Active Learning For Censored Regression

Frederik Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco Pereira

Preprint

G-GLformer: Transformer with GRU Embedding and Global-Local Attention for Multivariate Time Series Forecasting

Wenjun Yu, Jiyanglin Li Guizhou Key Laboratory of Big Data Statistical Analysis, Guizhou University of Finance and Economics, Wentao Gao, Niangxi Zhuang, Wen Li, Shouguo Du

Preprint

Prompting without Panic:Attribute-aware Zero-shot Calibration at Test-Time

Ramya Hebbalaguppe, Tamoghno Kandar, Abhinav Nagpal, Chetan Arora

Preprint

Diffusion Model with Selective Attention for Temporal Knowledge Graph Reasoning

Rushan Geng, Ge Chen, Cuicui Luo

Preprint

DiNgHy: Null Models for Non-Degenerate Directed Hypergraphs

Maryam Abuissa, Matteo Riondato, Eli Upfal

Preprint

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection

Haokai Zhang, Shengtao Zhang, Zijian Cai, Heng Wang, Ruixuan Zhu, Zinan Zeng, Minnan Luo

Preprint

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation

Roger Ferrod, Cassio Fraga Dantas, Luigi Di Caro, Dino Ienco

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Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs

Takuto Takahashi, Itsuki Nakayama, Takahiro Mitani, Ryosuke Kikuchi, Yuya Sasaki, Makoto Onizuka

Preprint

Voronoi Diagram Encoded Hashing

Yang Xu, Kaiming Ting

Preprint

Spectral Distribution Alignment for Enhanced Generalization in Regression

Kaiyu Guo, Zijian Wang, Brian Lovell, Mahsa Baktashmotlagh

Preprint

Safe Screening Rules for Group SLOPE

Runxue Bao, Quanchao Lu, Yanfu Zhang

Preprint

Robust Gaussian Process Regression with Huber Likelihood and Projection Pursuit

Pooja Algikar, Lamine Mili

Preprint

Continual Visual Reinforcement Learning with A Life-Long World Model

Minting Pan, Wendong Zhang, Geng Chen, Xiangming Zhu, Siyu Gao, Yunbo Wang, Xiaokang Yang

Preprint

Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well

Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy

Preprint

FedRNL: Federated Rationalization with Soft Parameter Sharing

Lingxiao Kong, Jiahui Jiang, Haozhao Wang, Lei Wu, Ruixuan Li

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Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations

Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick

Preprint

DispaRisk: Assessing Fairness Through Usable Information

Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala

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HAGAN: Homophily-Aware Generative Adversarial Network for Graph Anomaly Detection

Wenkai Wang, Fan Gao, Meihong Wang

Preprint

SVEBI: Towards the Interpretation and Explanation of Spiking Neural Networks

Jasper De Laet, Hamed BehzadiKhormouji, Lucas Deckers, Jose Oramas

Preprint

A Complementarity-Enhanced Mixture of Human-AI Teams for Decision-Making

Hefei Liang, Jiaqi Liu, Bin Guo, Zhiwen Yu

Preprint

GraphWeave : Interpretable and Robust Graph Generation via Random Walk Trajectories

Rahul Nandakumar, Deepayan Chakrabarti

Preprint

AB-STE: Adaptive Blended Gradient Estimation for Efficient Binarized Networks

Siddharth Gupta, Akash Kumar

Preprint

On Training Survival Models with Scoring Rules

Philipp Kopper, David Ruegamer, Raphael Sonabend, Bernd Bischl, Andreas Bender

Preprint

Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm

Zhenisbek Assylbekov, Alan Legg, Artur Pak

Preprint

Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs

Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao

Preprint

CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising

baosheng zhang, liufang sang, Haoran Wang, Wei Wang, Wenlong Chen, Changping Peng, Zhangang Lin, Jingping Shao, Jie He, Haoqian Wang, Yuchen Guo

Preprint

Stimulating Catastrophic Forgetting in Class-wise Unlearning via UAP

Wenxing Zhou, Xinwen Cheng, Yingwen Wu, Ruikai Yang, Xiaolin Huang

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Gathering and Exploiting Higher-Order Information when Training Large Structured Models

Pierre Wolinski

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BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise

Jeroen Galjaard, Robert Birke, Juan Perez, Lydia Chen

Preprint

Beyond General Edge Utilization: Edge Attention Mean Teacher for Semi-Supervised Medical Image Segmentation

Kaiwei Sun, LuHan Wang, Jin Wang

Preprint

Bounding-box Watermarking: Defense against Model Extraction Attacks on Object Detectors

Satoru Koda, Ikuya Morikawa

Preprint

Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations

Yibin Liu, Ang Li, Shijian Li

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Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis

Ali Beikmohammadi, Sarit Khirirat, Peter Richtárik, Sindri Magnússon

Preprint

Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks

Antoine Caradot, Rémi Emonet, Amaury Habrard, AbdelRahim Mezidi, Marc Sebban

Preprint

Progressive Dual-Space Discovering of Unknowns for Source-Free Open-Set Domain Adaptation

Qianshan Zhan, Qian Wang, XiaoJun Zeng

Preprint

AMST: Alternating Multimodal Skip Training

Hugo Silva, Hongguang Chen, Selpi Selpi

Preprint

MalGPT: A Generative Explainable Model for Malware Binaries

Mohd Saqib, Benjamin C M Fung, Steven H H Ding, Philippe Charland

Preprint

Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization

Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

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Machine Unlearning for Random Forests via Method of Images

Hang Zhang, KaiMing Ting

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IntentBreaker: Intent-Adaptive Jailbreak Attack on Large Language Models

Shengnan Guo, Yuchen Zhai, Shenyi Zhang, Lingchen Zhao, Zhangyi Wang

Preprint

Transformer with Sparse Adaptive Mask for Network Dismantling

Yu Liu Wuhan China, Fanghao Liu, Haojun Huang Wuhan China, Bang Wang

Preprint

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts

Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin

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Localized Heat Kernel for Graph Neural Networks

Taoyang Qin, KeJia Chen, Zheng Liu

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Leveraging Homophily under Local Differential Privacy for Effective Graph Neural Networks

Yule Xie, Jiaxin Ding, Pengyu Xue, Xin Ding, Haochen Han, Luoyi Fu, Xinbin Wang

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Projective Pruning for Decoupling Weights

Alexander Kovalenko, Tommy Chu

Preprint

How CNNs and ViTs perceive similarities between categories

Katarzyna Filus, Joanna Domaska

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Backdoor Attacks on Graph Classification via Data Augmentation and Dynamic Poisoning

Yadong Wang, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Guoren Wang

Preprint

Late Fusion Multiple Kernel Clustering Refined via Optimal Linear Graph Filtering

Henghui Jiang, Yiqing Guo, Yan Chen, Liang Du

Preprint

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding

Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xiao Xi, Tiehang Duan, Cui Tao, Shuteng Niu

Preprint

Tree-based OWL Class Expression Learner over Large Knowledge Graphs

Caglar Demir, Moshood Yekini, Michael Röder, Yasir Mahmood, AxelCyrille Ngonga Ngomo

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Weight-Rounding Error in Deep Neural Networks

Jiri Sima, Petra Petra Vidnerova

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PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN

Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen

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Fairness-Aware Graph Representation Learning Without Demographic Information

Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang

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Faithful Explanations for Graph Classification using Logic

Alessio Ragno, Marc Plantevit, Celine Robardet

Preprint

A Unified View of Abstract Visual Reasoning Problems

Mikołaj Małkiński, Jacek Mańdziuk

Preprint

Grouped Discrete Representation for Object-Centric Learning

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

Preprint

GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model

Yali Fu, Jindong Li, Qi Wang, Qianli Xing

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Improving Temporal Knowledge Graph Reasoning with Hierarchical Semantic-Aware Contrastive Learning

Renning Pang, Yao Liu, Yanglei Gan, Tingting Dai, Yashen Wang, Xiaojun Shi, Tian Lan, Qiao Liu

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Cross-Modal Causal Scheduling for Enhancing Target-Oriented Multi-Modal Sentiment Classification

Pengyu Zhao, Chaoyang Li, Lingzhi Wang, Qing Liao

Preprint

Gradient Boosting versus Mixed Integer Programming for Sparse Additive Modeling

Fan Yang, Pierre Le Bodic, Mario Boley

Preprint

Better Features, Better Calibration: A Simple Fix for Overconfident Networks

Soumya Suvra Ghosal, Ramya Hebbalaguppe, Dinesh Manocha

Preprint

Self-generated Cross-modal Prompt Tuning

guiming cao, zonghan wu, huo huan, ou yuming, guandong xu

Preprint

Advanced Strategic Improvement via Decision Interaction

Wenjing Yang, Xinpeng Lv, Yunxin Mao, Liyang Xu, Ruochun Jin, Huan Chen, Jing Ren, Jinxuan Yang, Yuanlong Chen, Haotian Wang

Preprint

Smooth InfoMax - Towards Easier Post-Hoc Interpretability

Fabian Denoodt, Bart de Boer, José Oramas

Preprint

Fine-grained Representation Learning and Multi-view Collaborative Augmentation for Recommendation

Huiting Li, Wenjun Ma, Weishan Cai, Yuncheng Jiang

Preprint

Fair and Privacy-preserving Synthetic Data Generation via Clustering-based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty

Malek Adouani, Zaineb Chelly Dagdia

Preprint

Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization

PierreFrançois Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe

Preprint

MEAN: Multi-Expert Adaptive Network For Customer Lifetime Value Prediction

kelin Liu, yao zhou, bin liu, hanjing su, shouzhi chen

Preprint

Scaling multi-label conformal prediction with label interactions for a large number of labels

Ghassan Najjar, Céline Berthou, Héléna Vorobieva

Preprint

A Scalable Model for Frequency Distribution of Low Occurrence Multi-words Towards Handling Very Large Spectrum of Text Corpora Sizes

Joaquim Silva, Jose Cunha

Preprint

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