Machine Learning

Authors and titles for recent submissions

• Thu, 28 Nov 2024
• Wed, 27 Nov 2024
• Tue, 26 Nov 2024
• Mon, 25 Nov 2024
• Fri, 22 Nov 2024

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Wed, 27 Nov 2024 (continued, showing last 32 of 135 entries )

[251] arXiv:2411.17071 (cross-list from stat.ML) [pdf, html, other]

Title: Fast, Precise Thompson Sampling for Bayesian Optimization

David Sweet

Comments: NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty; Poster

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

[252] arXiv:2411.17042 (cross-list from stat.ML) [pdf, html, other]

Title: Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series

Eshant English, Christoph Lippert

Comments: Workshop on Bayesian Decision-making and Uncertainty, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

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

[253] arXiv:2411.17041 (cross-list from cs.CV) [pdf, html, other]

Title: Free$^2$Guide: Gradient-Free Path Integral Control for Enhancing Text-to-Video Generation with Large Vision-Language Models

Jaemin Kim, Bryan S Kim, Jong Chul Ye

Comments: 15 pages

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

[254] arXiv:2411.17000 (cross-list from cs.CV) [pdf, html, other]

Title: SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery

Caleb S. Spradlin, Jordan A. Caraballo-Vega, Jian Li, Mark L. Carroll, Jie Gong, Paul M. Montesano

Comments: 19 pages, 5 figures

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

[255] arXiv:2411.16989 (cross-list from cs.CV) [pdf, html, other]

Title: CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers

Hamid Kamangir, Brent. S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason. Earles

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

[256] arXiv:2411.16959 (cross-list from cs.RO) [pdf, html, other]

Title: RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations

Ezra Ameperosa, Jeremy A. Collins, Mrinal Jain, Animesh Garg

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

[257] arXiv:2411.16930 (cross-list from cs.RO) [pdf, html, other]

Title: Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet

Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag, Florian Geiss

Comments: 7 pages, 16th Symposium Sensor Data Fusion (2024)

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

[258] arXiv:2411.16896 (cross-list from eess.IV) [pdf, html, other]

Title: Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function

Ismail Erbas, Vikas Pandey, Navid Ibtehaj Nizam, Nanxue Yuan, Amit Verma, Margarida Barosso, Xavier Intes

Comments: 11 pages, 4 figures

Subjects: Image and Video Processing (eess.IV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Optics (physics.optics)

[259] arXiv:2411.16870 (cross-list from cs.CV) [pdf, html, other]

Title: RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks

Nazia Tasnim, Bryan A. Plummer

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

[260] arXiv:2411.16832 (cross-list from cs.CV) [pdf, html, other]

Title: Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing

Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu

Comments: GitHub: this https URL

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

[261] arXiv:2411.16824 (cross-list from cs.CV) [pdf, html, other]

Title: Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge

Yaqi Zhao, Yuanyang Yin, Lin Li, Mingan Lin, Victor Shea-Jay Huang, Siwei Chen, Weipeng Chen, Baoqun Yin, Zenan Zhou, Wentao Zhang

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

[262] arXiv:2411.16821 (cross-list from cs.CL) [pdf, html, other]

Title: Integrating Geodesic Interpolation and Flow Matching for Non-Autoregressive Text Generation in Logit Space

Egor Sevriugov, Ivan Oseledets

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

[263] arXiv:2411.16819 (cross-list from cs.CV) [pdf, html, other]

Title: Pathways on the Image Manifold: Image Editing via Video Generation

Noam Rotstein, Gal Yona, Daniel Silver, Roy Velich, David Bensaïd, Ron Kimmel

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

[264] arXiv:2411.16818 (cross-list from cs.CL) [pdf, html, other]

Title: Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries

Harshavardhan Battula, Jiacheng Liu, Jaideep Srivastava

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

[265] arXiv:2411.16817 (cross-list from cs.CR) [pdf, html, other]

Title: XAI and Android Malware Models

Maithili Kulkarni, Mark Stamp

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

[266] arXiv:2411.16775 (cross-list from cs.CL) [pdf, html, other]

Title: Parameter Efficient Instruction Tuning: An Empirical Study

Pengfei He

Comments: 7 pages, 7 figures

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

[267] arXiv:2411.16760 (cross-list from cs.CV) [pdf, other]

Title: LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions

Faridoun Mehri (1), Mahdieh Soleymani Baghshah (1), Mohammad Taher Pilehvar (2) ((1) Sharif University of Technology, (2) Cardiff University)

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

[268] arXiv:2411.16751 (cross-list from cs.CR) [pdf, html, other]

Title: An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey

Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Waggler, Olukunle Kolade, Bolanle Hafiz Matti

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

[269] arXiv:2411.16750 (cross-list from cs.CV) [pdf, html, other]

Title: PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation

Ziyao Zeng, Jingcheng Ni, Daniel Wang, Patrick Rim, Younjoon Chung, Fengyu Yang, Byung-Woo Hong, Alex Wong

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

[270] arXiv:2411.16746 (cross-list from cs.CR) [pdf, html, other]

Title: LoBAM: LoRA-Based Backdoor Attack on Model Merging

Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Li, Yiran Chen

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

[271] arXiv:2411.16738 (cross-list from cs.CV) [pdf, html, other]

Title: Classifier-Free Guidance inside the Attraction Basin May Cause Memorization

Anubhav Jain, Yuya Kobayashi, Takashi Shibuya, Yuhta Takida, Nasir Memon, Julian Togelius, Yuki Mitsufuji

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

[272] arXiv:2411.16719 (cross-list from cs.CV) [pdf, html, other]

Title: Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients

Xiaoling Hu, Oula Puonti, Juan Eugenio Iglesias, Bruce Fischl, Yael Balbastre

Comments: 14 pages, 5 figures

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

[273] arXiv:2411.16715 (cross-list from cs.CV) [pdf, html, other]

Title: PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification

Sara Pohland, Claire Tomlin

Comments: arXiv admin note: text overlap with arXiv:2409.06111

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

[274] arXiv:2411.16712 (cross-list from cs.CR) [pdf, other]

Title: SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators

Salma Afifi, Ishan Thakkar, Sudeep Pasricha

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

[275] arXiv:2411.16702 (cross-list from cs.CY) [pdf, html, other]

Title: A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting

Lovedeep Gondara, Jonathan Simkin

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

[276] arXiv:2411.16701 (cross-list from eess.SP) [pdf, other]

Title: A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles

Vasilis Michalakopoulos, Elissaios Sarmas, Viktor Daropoulos, Giannis Kazdaridis, Stratos Keranidis, Vangelis Marinakis, Dimitris Askounis

Comments: 40 pages, 23 figures

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

[277] arXiv:2411.16698 (cross-list from physics.optics) [pdf, html, other]

Title: Universal on-chip polarization handling with deep photonic networks

Aycan Deniz Vit, Ujal Rzayev, Bahrem Serhat Danis, Ali Najjar Amiri, Kazim Gorgulu, Emir Salih Magden

Subjects: Optics (physics.optics); Machine Learning (cs.LG)

[278] arXiv:2411.16695 (cross-list from cs.NE) [pdf, html, other]

Title: Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning

Osvaldo M Velarde, Lucas C Parra

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

[279] arXiv:2411.16693 (cross-list from physics.comp-ph) [pdf, html, other]

Title: UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration

Georgios Georgalis, Alejandro Becerra, Kenneth Budzinski, Matthew McGurn, Danial Faghihi, Paul E. DesJardin, Abani Patra

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

[280] arXiv:2411.16692 (cross-list from eess.SP) [pdf, html, other]

Title: Leveraging Conversational Generative AI for Anomaly Detection in Digital Substations

Aydin Zaboli, Seong Lok Choi, Junho Hong

Comments: 5 pages, 4 figures, Submitted to 2025 IEEE Power and Energy Society General Meeting (PESGM 2025), Austin, TX

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

[281] arXiv:2411.16686 (cross-list from q-bio.BM) [pdf, html, other]

Title: ProteinWeaver: A Divide-and-Assembly Approach for Protein Backbone Design

Yiming Ma, Fei Ye, Yi Zhou, Zaixiang Zheng, Dongyu Xue, Quanquan Gu

Comments: 19 pages, 10 figures, 3 tables

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

[282] arXiv:2411.15295 (cross-list from eess.IV) [pdf, html, other]

Title: Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration

Darshan Thaker, Abhishek Goyal, René Vidal

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

Tue, 26 Nov 2024 (showing first 18 of 248 entries )

[283] arXiv:2411.16644 [pdf, html, other]

Title: Exploring Discrete Flow Matching for 3D De Novo Molecule Generation

Ian Dunn, David R. Koes

Comments: Presented at the NeurIPS 2024 Machine Learning for Structural Biology Workshop

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

[284] arXiv:2411.16615 [pdf, html, other]

Title: Graph Pooling with Local Cluster Selection

Yizhu Chen

Comments: 10 pages, 4 figures

Subjects: Machine Learning (cs.LG)

[285] arXiv:2411.16591 [pdf, html, other]

Title: Adversarial Attacks for Drift Detection

Fabian Hinder, Valerie Vaquet, Barbara Hammer

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

[286] arXiv:2411.16567 [pdf, other]

Title: Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Yinqiu Feng, Aoran Shen, Jiacheng Hu, Yingbin Liang, Shiru Wang, Junliang Du

Subjects: Machine Learning (cs.LG)

[287] arXiv:2411.16554 [pdf, html, other]

Title: Generating Out-Of-Distribution Scenarios Using Language Models

Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac Karaman, Daniela Rus

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

[288] arXiv:2411.16550 [pdf, html, other]

Title: Representation Collapsing Problems in Vector Quantization

Wenhao Zhao, Qiran Zou, Rushi Shah, Dianbo Liu

Comments: 13 pages, under review

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

[289] arXiv:2411.16549 [pdf, other]

Title: Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training

Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu

Comments: 66 pages, 3 figures

Subjects: Machine Learning (cs.LG)

[290] arXiv:2411.16532 [pdf, html, other]

Title: Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation

Muhammad Burhan Hafez, Kerim Erekmen

Comments: Accepted for publication in Scientific Reports

Subjects: Machine Learning (cs.LG)

[291] arXiv:2411.16525 [pdf, other]

Title: Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency

Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu

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

[292] arXiv:2411.16502 [pdf, html, other]

Title: Interpreting Language Reward Models via Contrastive Explanations

Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lecue, Manuela Veloso

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

[293] arXiv:2411.16478 [pdf, html, other]

Title: Distributed, communication-efficient, and differentially private estimation of KL divergence

Mary Scott, Sayan Biswas, Graham Cormode, Carsten Maple

Comments: 28 pages, 5 figures

Subjects: Machine Learning (cs.LG); Databases (cs.DB)

[294] arXiv:2411.16477 [pdf, html, other]

Title: Distributed Online Optimization with Stochastic Agent Availability

Juliette Achddou, Nicolò Cesa-Bianchi, Hao Qiu

Subjects: Machine Learning (cs.LG)

[295] arXiv:2411.16462 [pdf, html, other]

Title: Lion Cub: Minimizing Communication Overhead in Distributed Lion

Satoki Ishikawa, Tal Ben-Nun, Brian Van Essen, Rio Yokota, Nikoli Dryden

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

[296] arXiv:2411.16458 [pdf, html, other]

Title: On the Reconstruction of Training Data from Group Invariant Networks

Ran Elbaz, Gilad Yehudai, Meirav Galun, Haggai Maron

Subjects: Machine Learning (cs.LG)

[297] arXiv:2411.16442 [pdf, html, other]

Title: TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment

Luca Colombo, Alessandro Falcetta, Manuel Roveri

Journal-ref: Proceedings of the Third International Conference on AI-ML Systems, 2023, pp. 1-8

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

[298] arXiv:2411.16427 [pdf, html, other]

Title: Unsupervised Event Outlier Detection in Continuous Time

Somjit Nath, Yik Chau Lui, Siqi Liu

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

[299] arXiv:2411.16422 [pdf, other]

Title: Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM)

Abedin Sherifi

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Signal Processing (eess.SP)

[300] arXiv:2411.16349 [pdf, html, other]

Title: Machine learning for cerebral blood vessels' malformations

Irem Topal, Alexander Cherevko, Yuri Bugay, Maxim Shishlenin, Jean Barbier, Deniz Eroglu, Édgar Roldán, Roman Belousov

Comments: 14 pages, 6 main figures, 5 supplementary figures, 2 supplementary tables

Subjects: Machine Learning (cs.LG); Statistical Mechanics (cond-mat.stat-mech); Quantitative Methods (q-bio.QM)