Machine Learning

Authors and titles for recent submissions

• Fri, 4 Apr 2025
• Thu, 3 Apr 2025
• Wed, 2 Apr 2025
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Fri, 4 Apr 2025 (showing first 50 of 125 entries )

[1] arXiv:2504.02827 [pdf, html, other]

Title: On Vanishing Variance in Transformer Length Generalization

Ruining Li, Gabrijel Boduljak, Jensen (Jinghao)Zhou

Comments: Project page: this https URL. The first two authors contributed equally to this work

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[2] arXiv:2504.02797 [pdf, html, other]

Title: Spline-based Transformers

Prashanth Chandran, Agon Serifi, Markus Gross, Moritz Bächer

Journal-ref: European Conference on Computer Vision (ECCV 2024)

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[3] arXiv:2504.02781 [pdf, html, other]

Title: Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations

Selim Ickin, Shruti Bothe, Aman Raparia, Nitin Khanna, Erik Sanders

Comments: 15 pages, 9 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Signal Processing (eess.SP)

[4] arXiv:2504.02698 [pdf, html, other]

Title: SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions

Shengrui XU, Tianchi Lu, Zikun Wang, Jixiu Zhai, Jingwan Wang

Comments: 19 pages,11 figures,conference

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Quantitative Methods (q-bio.QM)

[5] arXiv:2504.02692 [pdf, other]

Title: GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration

Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda

Subjects: Machine Learning (cs.LG)

[6] arXiv:2504.02685 [pdf, html, other]

Title: STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability

Iván Sevillano-García, Julián Luengo, Francisco Herrera

Comments: 18 pages, 7 Figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (stat.ML)

[7] arXiv:2504.02667 [pdf, other]

Title: Compositionality Unlocks Deep Interpretable Models

Thomas Dooms, Ward Gauderis, Geraint A. Wiggins, Jose Oramas

Subjects: Machine Learning (cs.LG)

[8] arXiv:2504.02666 [pdf, html, other]

Title: BECAME: BayEsian Continual Learning with Adaptive Model MErging

Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[9] arXiv:2504.02662 [pdf, other]

Title: Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research

Mirko Stappert, Bernhard Lutz, Niklas Goby, Dirk Neumann

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)

[10] arXiv:2504.02658 [pdf, html, other]

Title: MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators

Beichen Huang, Yueming Yuan, Zelei Shao, Minjia Zhang

Subjects: Machine Learning (cs.LG)

[11] arXiv:2504.02646 [pdf, html, other]

Title: Prompt Optimization with Logged Bandit Data

Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito, Thorsten Joachims

Comments: Preprint

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (stat.ML)

[12] arXiv:2504.02644 [pdf, other]

Title: Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action Masking

Mirko Stappert, Bernhard Lutz, Janis Brammer, Dirk Neumann

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)

[13] arXiv:2504.02639 [pdf, html, other]

Title: Reservoir Computing: A New Paradigm for Neural Networks

Felix Grezes

Subjects: Machine Learning (cs.LG)

[14] arXiv:2504.02630 [pdf, html, other]

Title: Grammar-based Ordinary Differential Equation Discovery

Karin L. Yu, Eleni Chatzi, Georgios Kissas

Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE); Symbolic Computation (cs.SC)

[15] arXiv:2504.02620 [pdf, html, other]

Title: Efficient Model Editing with Task-Localized Sparse Fine-tuning

Leonardo Iurada, Marco Ciccone, Tatiana Tommasi

Comments: Accepted ICLR 2025 - this https URL

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)

[16] arXiv:2504.02618 [pdf, other]

Title: Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge

Dong-Sig Han, Jaein Kim, Hee Bin Yoo, Byoung-Tak Zhang

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[17] arXiv:2504.02607 [pdf, html, other]

Title: Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks

Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Systems and Control (eess.SY)

[18] arXiv:2504.02606 [pdf, html, other]

Title: Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification

Jonas Teufel, Annika Leinweber, Pascal Friederich

Comments: 24 pages, 5 figures, 4 tabels, accepted at the 3rd xAI World Conference

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[19] arXiv:2504.02591 [pdf, html, other]

Title: State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons

Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale

Comments: 9 pages, 3 figures, 6 tables, conference - 2025 Neuro Inspired Computational Elements (NICE)

Journal-ref: 2025 Neuro Inspired Computational Elements (NICE)

Subjects: Machine Learning (cs.LG)

[20] arXiv:2504.02589 [pdf, html, other]

Title: Knowledge Graph Completion with Mixed Geometry Tensor Factorization

Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov

Comments: Accepted to AISTATS 2025

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (stat.ML)

[21] arXiv:2504.02587 [pdf, html, other]

Title: Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme

Yan Ma, Steffi Chern, Xuyang Shen, Yiran Zhong, Pengfei Liu

Comments: Code is public and available at: this https URL

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)

[22] arXiv:2504.02546 [pdf, html, other]

Title: GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning

Xiangxiang Chu, Hailang Huang, Xiao Zhang, Fei Wei, Yong Wang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[23] arXiv:2504.02544 [pdf, other]

Title: Fourier Sliced-Wasserstein Embedding for Multisets and Measures

Tal Amir, Nadav Dym

Comments: ICLR 2025 camera-ready. arXiv admin note: substantial text overlap with arXiv:2405.16519

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[24] arXiv:2504.02543 [pdf, html, other]

Title: Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning

David Leeftink, Çağatay Yıldız, Steffen Ridderbusch, Max Hinne, Marcel van Gerven

Comments: 7 pages, 2 figures, 2 tables

Subjects: Machine Learning (cs.LG)

[25] arXiv:2504.02507 [pdf, html, other]

Title: ZClip: Adaptive Spike Mitigation for LLM Pre-Training

Abhay Kumar, Louis Owen, Nilabhra Roy Chowdhury, Fabian Güra

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)

[26] arXiv:2504.02498 [pdf, html, other]

Title: VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection

Sinchee Chin, Fan Zhang, Xiaochen Yang, Jing-Hao Xue, Wenming Yang, Peng Jia, Guijin Wang, Luo Yingqun

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)

[27] arXiv:2504.02479 [pdf, html, other]

Title: Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets

Stefano Covone, Italo Napolitano, Francesco De Lellis, Mario di Bernardo

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA); Systems and Control (eess.SY); Machine Learning (stat.ML)

[28] arXiv:2504.02459 [pdf, html, other]

Title: A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries

Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei

Subjects: Machine Learning (cs.LG)

[29] arXiv:2504.02456 [pdf, html, other]

Title: The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects

Carlos Fernández-Loría, Jorge Loría

Subjects: Machine Learning (cs.LG); Methodology (stat.ME)

[30] arXiv:2504.02432 [pdf, html, other]

Title: Robust Randomized Low-Rank Approximation with Row-Wise Outlier Detection

Aidan Tiruvan

Comments: 27 pages, 9 figures, preprint

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[31] arXiv:2504.02412 [pdf, html, other]

Title: Bridging the Theoretical Gap in Randomized Smoothing

Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[32] arXiv:2504.02383 [pdf, html, other]

Title: Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing

Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang

Comments: 25 pages, 7 figures, 7 tables, Journal Submission

Subjects: Machine Learning (cs.LG)

[33] arXiv:2504.02349 [pdf, html, other]

Title: Large (Vision) Language Models are Unsupervised In-Context Learners

Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic

Comments: ICLR 2025 camera-ready

Subjects: Machine Learning (cs.LG)

[34] arXiv:2504.02343 [pdf, html, other]

Title: Toward General and Robust LLM-enhanced Text-attributed Graph Learning

Zihao Zhang, Xunkai Li, Rong-Hua Li, Bing Zhou, Zhenjun Li, Guoren Wang

Subjects: Machine Learning (cs.LG)

[35] arXiv:2504.02329 [pdf, html, other]

Title: Towards Assessing Deep Learning Test Input Generators

Seif Mzoughi, Ahmed Hajyahmed, Mohamed Elshafei, Foutse Khomh anb Diego Elias Costa

Comments: Accepted to EASE 2025

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Software Engineering (cs.SE)

[36] arXiv:2504.02321 [pdf, html, other]

Title: On shallow feedforward neural networks with inputs from a topological space

Vugar Ismailov

Comments: 10 pages; this article uses material from arXiv:2409.12913

Subjects: Machine Learning (cs.LG); Functional Analysis (math.FA)

[37] arXiv:2504.02317 [pdf, html, other]

Title: Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation

Ye Su, Hezhe Qiao, Di Wu, Yuwen Chen, Lin Chen

Comments: Accepted in BIBM2024

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[38] arXiv:2504.02298 [pdf, html, other]

Title: SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks

Xinyu Luo, Kecheng Chen, Pao-Sheng Vincent Sun, Chris Xing Tian, Arindam Basu, Haoliang Li

Subjects: Machine Learning (cs.LG)

[39] arXiv:2504.02285 [pdf, html, other]

Title: Tree-based Models for Vertical Federated Learning: A Survey

Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

Comments: Accepted by ACM Computing Surveys (CSUR)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[40] arXiv:2504.02283 [pdf, other]

Title: Ga$_2$O$_3$ TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network

Le Minh Long Nguyen, Edric Ong, Matthew Eng, Yuhao Zhang, Hiu Yung Wong

Comments: 4 pages, 3 figures

Subjects: Machine Learning (cs.LG)

[41] arXiv:2504.02275 [pdf, html, other]

Title: Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflow

Menghao Huo, Kuan Lu, Qiang Zhu, Zhenrui Chen

Subjects: Machine Learning (cs.LG)

[42] arXiv:2504.02273 [pdf, html, other]

Title: Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models

Hung Le, Dai Do, Dung Nguyen, Svetha Venkatesh

Comments: preprint,20 pages

Subjects: Machine Learning (cs.LG)

[43] arXiv:2504.02268 [pdf, html, other]

Title: Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data

Waris Gill (1 and 2), Justin Cechmanek (1), Tyler Hutcherson (1), Srijith Rajamohan (1), Jen Agarwal (1), Muhammad Ali Gulzar (2), Manvinder Singh (1), Benoit Dion ((1) Redis, (2) Virginia Tech)

Comments: Initial study on embedding fine tuning for semantic cache. It also explores synthetic data. Total pages are 12, including refrences

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)

[44] arXiv:2504.02260 [pdf, html, other]

Title: Implicit Neural Differential Model for Spatiotemporal Dynamics

Deepak Akhare, Pan Du, Tengfei Luo, Jian-Xun Wang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[45] arXiv:2504.02252 [pdf, html, other]

Title: Adapting World Models with Latent-State Dynamics Residuals

JB Lanier, Kyungmin Kim, Armin Karamzade, Yifei Liu, Ankita Sinha, Kat He, Davide Corsi, Roy Fox

Comments: 15 pages, 11 figures. Project website at this https URL

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)

[46] arXiv:2504.02251 [pdf, html, other]

Title: Quantum Lipschitz Bandits

Bongsoo Yi, Yue Kang, Yao Li

Subjects: Machine Learning (cs.LG)

[47] arXiv:2504.02248 [pdf, html, other]

Title: CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection

Songran Bai, Xiaolong Zheng, Daniel Dajun Zeng

Subjects: Machine Learning (cs.LG)

[48] arXiv:2504.02221 [pdf, html, other]

Title: Learning and Improving Backgammon Strategy

Gregory R. Galperin

Comments: Accompanied by oral presentation by Gregory Galperin at the CBCL Learning Day 1994

Journal-ref: Proceedings of the CBCL Learning Day (1994)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)

[49] arXiv:2504.02213 [pdf, html, other]

Title: Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism

Shourya Goel, Himanshi Tibrewal, Anant Jain, Anshul Pundhir, Pravendra Singh

Subjects: Machine Learning (cs.LG)

[50] arXiv:2504.02169 [pdf, other]

Title: On the Geometry of Receiver Operating Characteristic and Precision-Recall Curves

Reza Sameni

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Statistics Theory (math.ST); Machine Learning (stat.ML)