2025-10-23 10:02:17
Some thoughts from recent talks: 'AI and Machine Learning in Libraries: Promising, But Not Ready Yet' https://www.openobjects.org.uk/2025/10/ai-and-machine-learning-in-libraries-promising-but-not-ready-yet/
Some thoughts from recent talks: 'AI and Machine Learning in Libraries: Promising, But Not Ready Yet' https://www.openobjects.org.uk/2025/10/ai-and-machine-learning-in-libraries-promising-but-not-ready-yet/
Learning functions, operators and dynamical systems with kernels
Lorenzo Rosasco
https://arxiv.org/abs/2509.18071 https://arxiv.org/pdf/2509.18071
Can multimodal representation learning by alignment preserve modality-specific information?
Romain Thoreau, Jessie Levillain, Dawa Derksen
https://arxiv.org/abs/2509.17943 https…
Data Virtualization for Machine Learning
Saiful Khan, Joyraj Chakraborty, Philip Beaucamp, Niraj Bhujel, Min Chen
https://arxiv.org/abs/2507.17293 https://…
Machine learning approach to single-shot multiparameter estimation for the non-linear Schr\"odinger equation
Louis Rossignol, Tangui Aladjidi, Myrann Baker-Rasooli, Quentin Glorieux
https://arxiv.org/abs/2509.18479
Functional effects models: Accounting for preference heterogeneity in panel data with machine learning
Nicolas Salvad\'e, Tim Hillel
https://arxiv.org/abs/2509.18047 https:/…
Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
Roberto Doriguzzi-Corin, Petr Sabel, Silvio Cretti, Silvio Ranise
https://arxiv.org/abs/2509.17836
Toward Affordable and Non-Invasive Detection of Hypoglycemia: A Machine Learning Approach
Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Vikas Ashok, Sampath Jayarathna
https://arxiv.org/abs/2509.17842
Machine Learning for Campus Energy Resilience: Clustering and Time-Series Forecasting in Intelligent Load Shedding
Salim Oyinlola, Peter Olabisi Oluseyi
https://arxiv.org/abs/2509.17097
I wrote up a talk I did recently: 'AI and Machine Learning in Libraries: Promising, But Not Ready Yet' https://www.openobjects.org.uk/2025/10/ai-and-machine-learning-in-libraries-promising-but-not-ready-yet
Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning
Julia Matejas, Olaf \.Zurawski, Nils Strodthoff, Juan Miguel Lopez Alcaraz
https://arxiv.org/abs/2509.17674
Chargers vs. Vikings NFL player props: Self-learning AI backs Carson Wentz over 222.5 passing yards on TNF
https://www.cbssports.com/nfl/news/chargers-vikin…
Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Charlotte Jennings (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Andrew Broad (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Lucy Godson (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Emily…
A Methodological Study on Data Representation for Machine Learning Modelling of Thermal Conductivity of Rare-Earth Oxides
Amiya Chowdhury, Acacio Rinc\'on Romero, Eduardo Aguilar-Bejarano, Halar Memon, Grazziela Figueredo, Tanvir Hussain
https://arxiv.org/abs/2509.18951
Bayesian Neural Networks versus deep ensembles for uncertainty quantification in machine learning interatomic potentials
Riccardo Farris, Emanuele Telari, Nongnuch Artrith, Konstantin Neyman, Albert Bruix
https://arxiv.org/abs/2509.19180
Advancing resistivity-chargeability modeling for complex subsurface characterization using machine learning and deep learning
Adedibu Sunny Akingboye, Andy Anderson Bery, Hui Tang, Ayokunle Olalekan Ige, Obinna Chigoziem Akakuru, Gabriel Abraham Bala, Mbuotidem David Dick
https://arxiv.org/abs/2509.17089
Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming
Tianmu Zheng, Ru Chen, Xin Su, Gang Huang, Bingzheng Yan
https://arxiv.org/abs/2509.18741
Random functions as data compressors for machine learning of molecular processes
Jayashrita Debnath, Gerhard Hummer
https://arxiv.org/abs/2509.17937 https://
Distributed Functional Optimization and Learning on Banach Spaces: Generic Frameworks
Zhan Yu, Zhongjie Shi, Deming Yuan, Daniel W. C. Ho
https://arxiv.org/abs/2509.17554 https:…
Compact representation of transonic airfoil buffet flows with observable-augmented machine learning
Kai Fukami, Yuta Iwatani, Soju Maejima, Hiroyuki Asada, Soshi Kawai
https://arxiv.org/abs/2509.17306 …
Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers
Anastasios Fanariotis, Theofanis Orphanoudakis, Vasilis Fotopoulos
https://arxiv.org/abs/2509.17533
A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation
Lukas Laakmann, Seyyid A. Ciftci, Christian Janiesch
https://arxiv.org/abs/2509.15730 https://…
Predictive Machine Learning to Increase the Throughput of Container Yards
Austin Ford Cooper
https://arxiv.org/abs/2509.16207 https://arxiv.org/pdf/2509.16…
Predicting Credit Spreads and Ratings with Machine Learning: The Role of Non-Financial Data
Yanran Wu, Xinlei Zhang, Quanyi Xu, Qianxin Yang, Chao Zhang
https://arxiv.org/abs/2509.19042
"“Papers with Code” went offline, the knowledge doesn’t have to" @…: https://blog.tib.eu/2025/10/02/papers-
Constraining Axion-Like Particle mediated Dark Matter with Observational Constraints: A Statistical and Machine Learning Approach
Prashant Thakur, Aravind Taridalu, Ishfaq Ahmad Rather, Tanech Klangburam, Chakrit Pongkitivanichkul
https://arxiv.org/abs/2509.18863
Causal Fuzzing for Verifying Machine Unlearning
Anna Mazhar, Sainyam Galhotra
https://arxiv.org/abs/2509.16525 https://arxiv.org/pdf/2509.16525
P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices
Wei Fan, JinYi Yoon, Xiaochang Li, Huajie Shao, Bo Ji
https://arxiv.org/abs/2507.17228
Towards a Robust Machine-Learning Pipeline for 21-cm Cosmology Data Analysis I: A Roadmap for Development and Demonstration of Robustness Against PSF Modeling Errors
Madhurima Choudhury, Jonathan C. Pober
https://arxiv.org/abs/2509.16280
Evidence for an Instability-induced Binary Merger in the Double-peaked, Helium-rich Type IIn #Supernova 2023zkd: https://iopscience.iop.org/article/10.3847/1538-4357/adea38/meta -> UC Santa Cruz-based survey uses AI to spot explosive stellar death by black hole: https://news.ucsc.edu/2025/08/black-hole-supernova/ - machine learning enables real-time detection of fleeting anomalies before they fade away.
Analysing the prevalence of tidal features in HSC-SSP using self-supervised representation learning
A. Desmons, S. Brough, F. Lanusse, L. Canepa, A. Khalid
https://arxiv.org/abs/2509.18274
Machine learning meets Singular Optics II: Single-pixel Detection of Structured Light
Purnesh Singh Badavath, Vijay Kumar
https://arxiv.org/abs/2509.16946 https://
Enhancing Lung Disease Diagnosis via Semi-Supervised Machine Learning
Xiaoran Xua, In-Ho Rab, Ravi Sankarc
https://arxiv.org/abs/2507.16845 https://arxiv.o…
Deep Generative Learning of Magnetic Frustration in Artificial Spin Ice from Magnetic Force Microscopy Images
Arnab Neogi, Suryakant Mishra, Prasad P Iyer, Tzu-Ming Lu, Ezra Bussmann, Sergei Tretiak, Andrew Crandall Jones, Jian-Xin Zhu
https://arxiv.org/abs/2507.17726
When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned
Sima Arasteh, Christophe Hauser
https://arxiv.org/abs/2508.15042 https://
Modern search demands scalable personalisation. At this year's Berlin Buzzwords, Piotr Kobziakowski discussed how Vespa's multi-stage ranking and tensor framework can be used for hybrid queries, multimodal retrieval, and real-time machine learning. Learn how to deploy low-latency, high-relevance search systems at petabyte scale.
Watch the full session: https://youtu.be/362U7alsfuI?si=W5SGEO8MIa8vywGO
Berlin Buzzwords returns on 7-9 June 2026! Get 36% off with our Trust Us Ticket: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/
Simultaneous improved predictions of nuclear mass and charge radius via multi-task Gaussian process machine learning approach
Weihu Ye, Niu Wan
https://arxiv.org/abs/2507.17357 …
A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
Xingran Chen, Tyler McCormick, Bhramar Mukherjee, Zhenke Wu
https://arxiv.org/abs/2508.15162
Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional...
Dipayan Sanpui, Anirban Chandra, Henry Chan, Sukriti Manna, Subramanian KRS Sankaranarayanan
Lessons from a Big-Bang Integration: Challenges in Edge Computing and Machine Learning
Alessandro Aneggi, Andrea Janes
https://arxiv.org/abs/2507.17270 htt…
Chiefs vs. Giants props, bets, SportsLine Machine Learning Model AI predictions: Johnson over 20.5 receiving
https://www.cbssports.com/nfl/news/chiefs-
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
Andrew Kyle Lampinen, Martin Engelcke, Yuxuan Li, Arslan Chaudhry, James L. McClelland
https://arxiv.org/abs/2509.16189
The Distribution Shift Problem in Transportation Networks using Reinforcement Learning and AI
Federico Taschin, Abderrahmane Lazaraq, Ozan K. Tonguz, Inci Ozgunes
https://arxiv.org/abs/2509.15291
M4SER: Multimodal, Multirepresentation, Multitask, and Multistrategy Learning for Speech Emotion Recognition
Jiajun He, Xiaohan Shi, Cheng-Hung Hu, Jinyi Mi, Xingfeng Li, Tomoki Toda
https://arxiv.org/abs/2509.18706
Quantum Autoencoder: An efficient approach to quantum feature map generation
Shengxin Zhuang, Yusen Wu, Xavier F. Cadet, Du Q. Huynh, Wei Liu, Philippe Charton, Cedric Damour, Frederic Cadet, Jingbo B. Wang
https://arxiv.org/abs/2509.19157
Machine Learning-Assisted Nano-imaging and Spectroscopy of Phase Coexistence in a Wide-Bandgap Semiconductor
Alyssa Bragg, Fengdeng Liu, Zhifei Yang, Nitzan Hirshberg, Madison Garber, Brayden Lukaskawcez, Liam Thompson, Shane MacDonald, Hayden Binger, Devon Uram, Ashley Bucsek, Bharat Jalan, Alexander McLeod
https://arxiv.org/abs/2507.1767…
Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Sonny T. Jones, Grange M. Simpson, Patrick M. Pilarski, Ashley N. Dalrymple
https://arxiv.org/abs/2507.16983
A Curated Dataset and Deep Learning Approach for Minor Dent Detection in Vehicles
Danish Zia Baig, Mohsin Kamal
https://arxiv.org/abs/2508.15431 https://ar…
The Good, the Bad, and the Ugly of Atomistic Learning for "Clusters-to-Bulk" Generalization
Miko{\l}aj J. Gawkowski, Mingjia Li, Benjamin X. Shi, Venkat Kapil
https://arxiv.org/abs/2509.16601
System-Level Uncertainty Quantification with Multiple Machine Learning Models: A Theoretical Framework
Xiaoping Du
https://arxiv.org/abs/2509.16663 https://
Evaluating Ensemble and Deep Learning Models for Static Malware Detection with Dimensionality Reduction Using the EMBER Dataset
Md Min-Ha-Zul Abedin, Tazqia Mehrub
https://arxiv.org/abs/2507.16952
Improving Active Learning for Melody Estimation by Disentangling Uncertainties
Aayush Jaiswal, Parampreet Singh, Vipul Arora
https://arxiv.org/abs/2509.17375 https://
Machine Learning in Near-Field Communication for 6G: A Survey
Amjad Iqbal, Ala'a Al-Habashna, Gabriel Wainer, Gary Boudreau
https://arxiv.org/abs/2509.16723 https://
Clapping: Removing Per-sample Storage for Pipeline Parallel Distributed Optimization with Communication Compression
Boao Kong, Xu Huang, Yuqi Xu, Yixuan Liang, Bin Wang, Kun Yuan
https://arxiv.org/abs/2509.19029
Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine
Marcelo Guzman, Simone Ciarella, Andrea J. Liu
https://arxiv.org/abs/2509.15842
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[7/7]:
- Random functions as data compressors for machine learning of molecular processes
Jayashrita Debnath, Gerhard Hummer
SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture
Yeonju Lee, Rui Qi Chen, Joseph Oboamah, Po Nien Su, Wei-zhen Liang, Yeyin Shi, Lu Gan, Yongsheng Chen, Xin Qiao, Jing Li
https://arxiv.org/abs/2509.18123
Debiased maximum-likelihood estimators for hazard ratios under machine-learning adjustment
Takashi Hayakawa, Satoshi Asai
https://arxiv.org/abs/2507.17686 …
Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
Rani Naaman, Felipe Gohring de Magalhaes, Jean-Yves Ouattara, Gabriela Nicolescu
https://arxiv.org/abs/2509.15991
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/4]:
- The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks
Pinheiro, de Oliveira, Silva, Saraiva, de Souza, Godoy, Ambrosio, Becker
PrediPrune: Reducing Verification Overhead in Souper with Machine Learning Driven Pruning
Ange-Thierry Ishimwe, Raghuveer Shivakumar, Heewoo Kim, Tamara Lehman, Joseph Izraelevitz
https://arxiv.org/abs/2509.16497
BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
Bingguang Lu, Hongsheng Hu, Yuantian Miao, Shaleeza Sohail, Chaoxiang He, Shuo Wang, Xiao Chen
https://arxiv.org/abs/2508.15541
LeakageDetector 2.0: Analyzing Data Leakage in Jupyter-Driven Machine Learning Pipelines
Owen Truong, Terrence Zhang, Arnav Marchareddy, Ryan Lee, Jeffery Busold, Michael Socas, Eman Abdullah AlOmar
https://arxiv.org/abs/2509.15971
Robust and Efficient Quantum Reservoir Computing with Discrete Time Crystal
Da Zhang, Xin Li, Yibin Guo, Haifeng Yu, Yirong Jin, Zhang-Qi Yin
https://arxiv.org/abs/2508.15230 ht…
Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/2]:
- Validation-Free Sparse Learning: A Phase Transition Approach to Feature Selection
Sylvain Sardy, Maxime van Cutsem, Xiaoyu Ma
Eco-Friendly AI: Unleashing Data Power for Green Federated Learning
Mattia Sabella, Monica Vitali
https://arxiv.org/abs/2507.17241 https://
SC2Tools: StarCraft II Toolset and Dataset API
Andrzej Bia{\l}ecki, Piotr Bia{\l}ecki, Piotr Sowi\'nski, Mateusz Budziak, Jan Gajewski
https://arxiv.org/abs/2509.18454 https…
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[8/10]:
- CoLa: Learning to Interactively Collaborate with Large Language Models
Abhishek Sharma, Dan Goldwasser
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/7]:
- Deep Reinforcement Learning in Factor Investment
Junlin Liu
https://
Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[2/2]:
- Minimax Adaptive Online Nonparametric Regression over Besov Spaces
Paul Liautaud (LPSM), Pierre Gaillard (Thoth, UGA), Olivier Wintenberger (LPSM)
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/10]:
- Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/10]:
- Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning witho...
Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang
Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- A Neural Difference-of-Entropies Estimator for Mutual Information
Haoran Ni, Martin Lotz
Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan-Meier Plots
Yao Zhao, Haoyue Sun, Yantian Ding, Yanxun Xu
Tutorial on the Probabilistic Unification of Estimation Theory, Machine Learning, and Generative AI
Mohammed Elmusrati
https://arxiv.org/abs/2508.15719 https://
Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
Chengkun Li, Gr\'egoire Clart\'e, Martin J{\o}rgensen, Luigi Acerbi
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[10/10]:
- An Effective Strategy for Modeling Score Ordinality and Non-uniform Intervals in Automated Speaki...
Tien-Hong Lo, Szu-Yu Chen, Yao-Ting Sung, Berlin Chen
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[9/10]:
- HARPT: A Corpus for Analyzing Consumers' Trust and Privacy Concerns in Electronic Health Apps
Timoteo Kelly, Abdulkadir Korkmaz, Samuel Mallet, Connor Souders, Sadra Aliakbarpour, Praveen Rao
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[7/10]:
- Efficient Transition State Searches by Freezing String Method with Graph Neural Network Potentials
Jonah Marks, Joseph Gomes
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/10]:
- SINF: Semantic Neural Network Inference with Semantic Subgraphs
A. Q. M. Sazzad Sayyed, Francesco Restuccia
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/10]:
- A geometric framework for momentum-based optimizers for low-rank training
Steffen Schotth\"ofer, Timon Klein, Jonas Kusch
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/10]:
- Significativity Indices for Agreement Values
Alberto Casagrande, Francesco Fabris, Rossano Girometti, Roberto Pagliarini
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/10]:
- COMPOL: A Unified Neural Operator Framework for Scalable Multi-Physics Simulations
Yifei Sun, Tao Wang, Junqi Qu, Yushun Dong, Hewei Tang, Shibo Li
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/7]:
- Bilateral Distribution Compression: Reducing Both Data Size and Dimensionality
Dominic Broadbent, Nick Whiteley, Robert Allison, Tom Lovett
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/7]:
- Virtual Consistency for Audio Editing
Matthieu Cervera, Francesco Paissan, Mirco Ravanelli, Cem Subakan
…
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/7]:
- Equip Pre-ranking with Target Attention by Residual Quantization
Yutong Li, Yu Zhu, Yichen Qiao, Ziyu Guan, Lv Shao, Tong Liu, Bo Zheng
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/7]:
- Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Langu...
Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/7]:
- Overfitting in Adaptive Robust Optimization
Karl Zhu, Dimitris Bertsimas
https:/…
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/4]:
- Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Tran...
Xiaoyan Li, Shixin Xu, Faisal Habib, Arvind Gupta, Huaxiong Huang
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/4]:
- Flexible Coded Distributed Convolution Computing for Enhanced Straggler Resilience and Numerical ...
Shuo Tan, Rui Liu, Xuesong Han, XianLei Long, Kai Wan, Linqi Song, Yong Li
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/4]:
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
GaussianPSL: A novel framework based on Gaussian Splatting for exploring the Pareto frontier in multi-criteria optimization
Phuong Mai Dinh, Van-Nam Huynh
https://arxiv.org/abs/2509.17889
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/3]:
- Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Ed...
Rasil Baidar, Sasa Maric, Robert Abbas
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/4]:
- Diffusion MRI with Machine Learning
Davood Karimi, Simon K. Warfield
https://
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/6]:
- PickleBall: Secure Deserialization of Pickle-based Machine Learning Models (Extended Report)
Kellas, Christou, Jiang, Li, Simon, David, Kemerlis, Davis, Yang
AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
Khaled M. A. Alghtus, Ayad Gannan, Khalid M. Alhajri, Ali L. A. Al Jubouri, Hassan A. I. Al-Janahi
https://arxiv.org/abs/2508.15550
[2025-07-24 Thu (UTC), 67 new articles found for cs.LG Machine Learning]
toXiv_bot_toot
Probabilistic Graphical Models: A Concise Tutorial
Jacqueline Maasch, Willie Neiswanger, Stefano Ermon, Volodymyr Kuleshov
https://arxiv.org/abs/2507.17116
DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD
Rongwei Lu, Jingyan Jiang, Chunyang Li, Haotian Dong, Xingguang Wei, Delin Cai, Zhi Wang
https://arxiv.org/abs/2507.17346
Medical priority fusion: achieving dual optimization of sensitivity and interpretability in nipt anomaly detection
Xiuqi Ge, Zhibo Yao, Yaosong Du
https://arxiv.org/abs/2509.17924