Machine Learning

Authors and titles for recent submissions

• Tue, 26 Nov 2024
• Mon, 25 Nov 2024
• Fri, 22 Nov 2024
• Thu, 21 Nov 2024
• Wed, 20 Nov 2024

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Tue, 26 Nov 2024 (continued, showing last 35 of 248 entries )

[214] arXiv:2411.15519 (cross-list from q-fin.RM) [pdf, html, other]

Title: Risk Management with Feature-Enriched Generative Adversarial Networks (FE-GAN)

Ling Chen

Subjects: Risk Management (q-fin.RM); Machine Learning (cs.LG); Machine Learning (stat.ML)

[215] arXiv:2411.15490 (cross-list from cs.CV) [pdf, html, other]

Title: Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

Junhyeok Lee, Yujin Oh, Dahyoun Lee, Hyon Keun Joh, Chul-Ho Sohn, Sung Hyun Baik, Cheol Kyu Jung, Jung Hyun Park, Kyu Sung Choi, Byung-Hoon Kim, Jong Chul Ye

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV)

[216] arXiv:2411.15477 (cross-list from cs.CL) [pdf, html, other]

Title: Towards Robust Evaluation of Unlearning in LLMs via Data Transformations

Abhinav Joshi, Shaswati Saha, Divyaksh Shukla, Sriram Vema, Harsh Jhamtani, Manas Gaur, Ashutosh Modi

Comments: Accepted at EMNLP 2024 Findings; 21 pages (5 page main content + references + appendix)

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)

[217] arXiv:2411.15418 (cross-list from q-bio.BM) [pdf, html, other]

Title: SPRINT Enables Interpretable and Ultra-Fast Virtual Screening against Thousands of Proteomes

Andrew T. McNutt, Abhinav K. Adduri, Caleb N. Ellington, Monica T. Dayao, Eric P. Xing, Hosein Mohimani, David R. Koes

Comments: Machine Learning for Structural Biology Workshop, NeurIPS 2024

Subjects: Biomolecules (q-bio.BM); Machine Learning (cs.LG)

[218] arXiv:2411.15405 (cross-list from cs.CL) [pdf, other]

Title: ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns

Lisa R. O'Bryan, Madeline Navarro, Juan Segundo Hevia, Santiago Segarra

Comments: 64 pages, 9 figures

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

[219] arXiv:2411.15399 (cross-list from cs.PF) [pdf, html, other]

Title: Less is More: Optimizing Function Calling for LLM Execution on Edge Devices

Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, Dimitrios Stamoulis

Comments: Accepted at DATE 2025

Subjects: Performance (cs.PF); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG)

[220] arXiv:2411.15388 (cross-list from cs.CV) [pdf, html, other]

Title: A Constrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation

Chiara Mauri, Ryan Fritz, Jocelyn Mora, Benjamin Billot, Juan Eugenio Iglesias, Koen Van Leemput, Jean Augustinack, Douglas N Greve

Comments: 14 pages, 10 figures, 3 tables

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV)

[221] arXiv:2411.15386 (cross-list from cs.AI) [pdf, html, other]

Title: Inducing Human-like Biases in Moral Reasoning Language Models

Artem Karpov, Seong Hah Cho, Austin Meek, Raymond Koopmanschap, Lucy Farnik, Bogdan-Ionut Cirstea

Comments: Accepted to the 2nd Workshop on Unifying Representations in Neural Models (UniReps) at NeurIPS 2024

Subjects: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)

[222] arXiv:2411.15378 (cross-list from eess.IV) [pdf, html, other]

Title: Improved Background Estimation for Gas Plume Identification in Hyperspectral Images

Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon

Comments: 13 pages, 10 figures, submitted and under review to IEEE Transactions on Geoscience and Remote Sensing

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[223] arXiv:2411.15372 (cross-list from cs.CL) [pdf, html, other]

Title: Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering

Mostafa Varzaneh, Pooja Voladoddi, Tanmay Bakshi, Uma Gunturi

Comments: 12 pages, 3 figures, 2 tables

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

[224] arXiv:2411.15368 (cross-list from cs.SE) [pdf, html, other]

Title: The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages

Boqi Chen, José Antonio Hernández López, Gunter Mussbacher, Dániel Varró

Comments: Accepted by ICSE'25 Research Track

Subjects: Software Engineering (cs.SE); Machine Learning (cs.LG); Programming Languages (cs.PL)

[225] arXiv:2411.15364 (cross-list from cs.DS) [pdf, html, other]

Title: Exploring Facets of Language Generation in the Limit

Moses Charikar, Chirag Pabbaraju

Comments: 24 pages

Subjects: Data Structures and Algorithms (cs.DS); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)

[226] arXiv:2411.15351 (cross-list from cond-mat.mtrl-sci) [pdf, html, other]

Title: Accelerating CALPHAD-based Phase Diagram Predictions in Complex Alloys Using Universal Machine Learning Potentials: Opportunities and Challenges

Siya Zhu, Raymundo Arróyave, Doğuhan Sarıtürk

Comments: 11 pages, 8 figures

Subjects: Materials Science (cond-mat.mtrl-sci); Machine Learning (cs.LG)

[227] arXiv:2411.15350 (cross-list from cs.RO) [pdf, html, other]

Title: Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice

William D. Compton, Noel Csomay-Shanklin, Cole Johnson, Aaron D. Ames

Comments: Submitted to ICRA 2025

Subjects: Robotics (cs.RO); Machine Learning (cs.LG); Systems and Control (eess.SY)

[228] arXiv:2411.15315 (cross-list from quant-ph) [pdf, html, other]

Title: Lie-Equivariant Quantum Graph Neural Networks

Jogi Suda Neto, Roy T. Forestano, Sergei Gleyzer, Kyoungchul Kong, Konstantin T. Matchev, Katia Matcheva

Comments: 10 pages, 5 figures, accepted to the Machine Learning with New Compute Paradigms (MLNCP) Workshop at NeurIPS 2024

Subjects: Quantum Physics (quant-ph); Machine Learning (cs.LG); High Energy Physics - Experiment (hep-ex); High Energy Physics - Phenomenology (hep-ph)

[229] arXiv:2411.15306 (cross-list from math.ST) [pdf, html, other]

Title: Heavy-tailed Contamination is Easier than Adversarial Contamination

Yeshwanth Cherapanamjeri, Daniel Lee

Subjects: Statistics Theory (math.ST); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)

[230] arXiv:2411.15284 (cross-list from cs.CV) [pdf, other]

Title: When Spatial meets Temporal in Action Recognition

Huilin Chen, Lei Wang, Yifan Chen, Tom Gedeon, Piotr Koniusz

Comments: Research report

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

[231] arXiv:2411.15270 (cross-list from cs.CL) [pdf, html, other]

Title: BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques

Muhammad Rafsan Kabir, Md. Mohibur Rahman Nabil, Mohammad Ashrafuzzaman Khan

Comments: Accepted in ACAI 2024

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

[232] arXiv:2411.15269 (cross-list from eess.IV) [pdf, html, other]

Title: MambaIRv2: Attentive State Space Restoration

Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

Comments: Technical report

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[233] arXiv:2411.15267 (cross-list from stat.ML) [pdf, html, other]

Title: Proportional infinite-width infinite-depth limit for deep linear neural networks

Federico Bassetti, Lucia Ladelli, Pietro Rotondo

Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Probability (math.PR)

[234] arXiv:2411.15265 (cross-list from cs.CV) [pdf, html, other]

Title: Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI

Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye

Comments: 19 pages, 5 figures

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

[235] arXiv:2411.15255 (cross-list from eess.IV) [pdf, html, other]

Title: OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction

Gehui Li, Bin Chen, Chen Zhao, Lei Zhang, Jian Zhang

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[236] arXiv:2411.15253 (cross-list from eess.IV) [pdf, other]

Title: Unsupervised Machine Learning for Osteoporosis Diagnosis Using Singh Index Clustering on Hip Radiographs

Vimaladevi Madhivanan, Kalavakonda Vijaya, Abhay Lal, Senthil Rithika, Shamala Karupusamy Subramaniam, Mohamed Sameer

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[237] arXiv:2411.15237 (cross-list from cs.CV) [pdf, other]

Title: Stain-Invariant Representation for Tissue Classification in Histology Images

Manahil Raza, Saad Bashir, Talha Qaiser, Nasir Rajpoot

Journal-ref: In 27th Conference on Medical Image Understanding and Analysis 2023 (p. 242)

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

[238] arXiv:2411.15236 (cross-list from cs.CV) [pdf, html, other]

Title: Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps

Jeeyung Kim, Erfan Esmaeili, Qiang Qiu

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

[239] arXiv:2411.15230 (cross-list from cs.AI) [pdf, html, other]

Title: A No Free Lunch Theorem for Human-AI Collaboration

Kenny Peng, Nikhil Garg, Jon Kleinberg

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

[240] arXiv:2411.15207 (cross-list from cs.CV) [pdf, html, other]

Title: Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training

Ameera Bawazir, Kebin Wu, Wenbin Li

Comments: 15 pages, 2 figures, accepted by BMVC'24

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

[241] arXiv:2411.15202 (cross-list from physics.ao-ph) [pdf, html, other]

Title: A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region

Dennis Quayesam, Jacob Akubire, Oliveira Darkwah

Subjects: Atmospheric and Oceanic Physics (physics.ao-ph); Machine Learning (cs.LG); Machine Learning (stat.ML)

[242] arXiv:2411.15200 (cross-list from cs.CV) [pdf, html, other]

Title: Deep Learning-Based Classification of Hyperkinetic Movement Disorders in Children

Nandika Ramamurthy, Dr Daniel Lumsden, Dr Rachel Sparks

Comments: 59 pages, 20 figures

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Image and Video Processing (eess.IV)

[243] arXiv:2411.15199 (cross-list from cs.CV) [pdf, html, other]

Title: Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation

Yucheng Xing, Xiaodong Liu, Xin Wang

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

[244] arXiv:2411.15195 (cross-list from cs.CL) [pdf, other]

Title: Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs

Junliang Du, Guiran Liu, Jia Gao, Xiaoxuan Liao, Jiacheng Hu, Linxiao Wu

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

[245] arXiv:2411.15190 (cross-list from cs.CR) [pdf, html, other]

Title: Transforming Triple-Entry Accounting with Machine Learning: A Path to Enhanced Transparency Through Analytics

Abraham Itzhak Weinberg, Alessio Faccia

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)

[246] arXiv:2411.15145 (cross-list from cs.CY) [pdf, html, other]

Title: Opportunities of Reinforcement Learning in South Africa's Just Transition

Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock

Comments: Accepted at the Southern African Conference for Artificial Intelligence Research 2024

Subjects: Computers and Society (cs.CY); Machine Learning (cs.LG)

[247] arXiv:2411.15144 (cross-list from eess.SP) [pdf, other]

Title: Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays

Baptiste Chatelier (INSA Rennes, IETR, MERCE-France), José Miguel Mateos-Ramos, Vincent Corlay (MERCE-France), Christian Häger, Matthieu Crussière (INSA Rennes, IETR), Henk Wymeersch, Luc Le Magoarou (INSA Rennes, IETR)

Subjects: Signal Processing (eess.SP); Information Theory (cs.IT); Machine Learning (cs.LG)

[248] arXiv:2411.15142 (cross-list from cond-mat.soft) [pdf, html, other]

Title: Data-driven Modeling of Granular Chains with Modern Koopman Theory

Atoosa Parsa, James Bagrow, Corey S. O'Hern, Rebecca Kramer-Bottiglio, Josh Bongard

Subjects: Soft Condensed Matter (cond-mat.soft); Machine Learning (cs.LG); Dynamical Systems (math.DS)

Mon, 25 Nov 2024 (showing first 15 of 137 entries )

[249] arXiv:2411.15128 [pdf, html, other]

Title: Health AI Developer Foundations

Atilla P. Kiraly, Sebastien Baur, Kenneth Philbrick, Fereshteh Mahvar, Liron Yatziv, Tiffany Chen, Bram Sterling, Nick George, Fayaz Jamil, Jing Tang, Kai Bailey, Faruk Ahmed, Akshay Goel, Abbi Ward, Lin Yang, Andrew Sellergren, Yossi Matias, Avinatan Hassidim, Shravya Shetty, Daniel Golden, Shekoofeh Azizi, David F. Steiner, Yun Liu, Tim Thelin, Rory Pilgrim, Can Kirmizibayrak

Comments: 16 pages, 8 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Multimedia (cs.MM); Image and Video Processing (eess.IV)

[250] arXiv:2411.15127 [pdf, html, other]

Title: PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision

Arnav M. Das, Chi Ian Tang, Fahim Kawsar, Mohammad Malekzadeh

Comments: Also presented under the title "PRIMUS: Pretraining IMU Encoders with Multimodal and Self-Supervised Learning" at NeurIPS 2024 TSALM Workshop (Time Series in the Age of Large Models)

Subjects: Machine Learning (cs.LG)

[251] arXiv:2411.15114 [pdf, html, other]

Title: RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Hjalmar Wijk, Tao Lin, Joel Becker, Sami Jawhar, Neev Parikh, Thomas Broadley, Lawrence Chan, Michael Chen, Josh Clymer, Jai Dhyani, Elena Ericheva, Katharyn Garcia, Brian Goodrich, Nikola Jurkovic, Megan Kinniment, Aron Lajko, Seraphina Nix, Lucas Sato, William Saunders, Maksym Taran, Ben West, Elizabeth Barnes

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

[252] arXiv:2411.15109 [pdf, html, other]

Title: Effective Littlestone Dimension

Valentino Delle Rose, Alexander Kozachinskiy, Tomasz Steifer

Comments: 12 pages

Subjects: Machine Learning (cs.LG); Logic in Computer Science (cs.LO)

[253] arXiv:2411.15102 [pdf, html, other]

Title: AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution

Fengyuan Liu, Nikhil Kandpal, Colin Raffel

Comments: 29 pages, 11 figures

Subjects: Machine Learning (cs.LG)

[254] arXiv:2411.15101 [pdf, html, other]

Title: What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning

Arvind Mohan, Ashesh Chattopadhyay, Jonah Miller

Subjects: Machine Learning (cs.LG); Computational Physics (physics.comp-ph)

[255] arXiv:2411.15096 [pdf, html, other]

Title: RED: Effective Trajectory Representation Learning with Comprehensive Information

Silin Zhou, Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis

Comments: This paper is accepted by VLDB2025

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

[256] arXiv:2411.15046 [pdf, html, other]

Title: On Multi-Agent Inverse Reinforcement Learning

Till Freihaut, Giorgia Ramponi

Comments: Currently under review

Subjects: Machine Learning (cs.LG)

[257] arXiv:2411.15036 [pdf, html, other]

Title: Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium

Zeyang Li, Navid Azizan

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

[258] arXiv:2411.15014 [pdf, other]

Title: On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations

Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li

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

[259] arXiv:2411.14984 [pdf, html, other]

Title: Adaptive Group Robust Ensemble Knowledge Distillation

Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou

Comments: Workshop Algorithmic Fairness through the Lens of Metrics and Evaluation at NeurIPS 2024

Subjects: Machine Learning (cs.LG)

[260] arXiv:2411.14971 [pdf, html, other]

Title: Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation

Colin Diggs, Michael Doyle, Amit Madan, Siggy Scott, Emily Escamilla, Jacob Zimmer, Naveed Nekoo, Paul Ursino, Michael Bartholf, Zachary Robin, Anand Patel, Chris Glasz, William Macke, Paul Kirk, Jasper Phillips, Arun Sridharan, Doug Wendt, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker

Comments: Abbreviated version submitted to LLM4Code 2025 (a workshop co-located with ICSE 2025), 13 pages, 3 figures

Subjects: Machine Learning (cs.LG); Software Engineering (cs.SE)

[261] arXiv:2411.14961 [pdf, html, other]

Title: LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement

Jieming Bian, Lei Wang, Letian Zhang, Jie Xu

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

[262] arXiv:2411.14939 [pdf, html, other]

Title: Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks

Joseph Farrington, Samah Alimam, Martin Utley, Kezhi Li, Wai Keong Wong

Subjects: Machine Learning (cs.LG)

[263] arXiv:2411.14937 [pdf, html, other]

Title: Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning

Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, Ka-Ho Chow

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)