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@kurtsh@mastodon.social
2025-06-13 21:45:24

Microsoft has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms.
azure.microsoft.com/en-us/blog

@rperezrosario@mastodon.social
2025-06-13 02:12:09

General Manager of Azure AI at Microsoft Don Scott shares a second consecutive year win in this post on the AI and Machine Learning portion of the official Azure blog. Gartner Group has identified Microsoft as a industry leader in data science and machine learning platforms.
"Microsoft recognized for second consecutive year as a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms"

@adulau@infosec.exchange
2025-05-14 05:40:47

Many are complaining about CISA removing the RSS feed for KEV. Just a reminder: we expose a lot of the API via RSS and Atom in vulnerability-lookup. KEV is included.
🔗 vulnerability-lookup.org/user-

@arXiv_csSE_bot@mastoxiv.page
2025-06-13 08:33:20

From Tea Leaves to System Maps: Context-awareness in Monitoring Operational Machine Learning Models
Joran Leest, Claudia Raibulet, Patricia Lago, Ilias Gerostathopoulos
arxiv.org/abs/2506.10770

@berlinbuzzwords@floss.social
2025-05-14 12:00:21

Satellite Event
AIFoundry invites you to the 2nd edition of the AI Plumbers Conference, a meetup for low-level AI builders who value real conversations over keynote slides and for anyone working in modern data infrastructure, machine learning and open-source software projects. Connect, swap ideas and collaborate, free from the pressure of constant talks.
📅 When: June 15, 2025 – 10 am-5 pm
📍 Where: GLS Event Campus Berlin, Kastanienallee 82 | 10435 Berlin
Register now:

@arXiv_csAR_bot@mastoxiv.page
2025-06-13 07:17:50

Towards Zero-Stall Matrix Multiplication on Energy-Efficient RISC-V Clusters for Machine Learning Acceleration
Luca Colagrande, Lorenzo Leone, Maximilian Coco, Andrei Deaconeasa, Luca Benini
arxiv.org/abs/2506.10921

@cosmos4u@scicomm.xyz
2025-06-10 19:24:51

ChronoFlow - a Data-driven Model for #Gyrochronology: iopscience.iop.org/article/10. -> U of T Astronomers Pioneer Innovative Machine Learning Model to Determine the Ages of Stars: dunlap.utoronto.ca/u-of-t-astr

@arXiv_quantph_bot@mastoxiv.page
2025-06-12 10:02:41

Black hole/quantum machine learning correspondence
Jae-Weon Lee, Zae Young Kim
arxiv.org/abs/2506.09678 arxiv.org/pdf…

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-13 09:02:30

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Shriya Gumber, Lorena Alzate-Vargas, Benjamin T. Nebgen, Arjen van Veelen, Smit Kadvani, Tammie Gibson, Richard Messerly
arxiv.org/abs/2506.10211

@arXiv_csRO_bot@mastoxiv.page
2025-06-13 08:05:00

Learning Safe Control via On-the-Fly Bandit Exploration
Alexandre Capone, Ryan Cosner, Aaaron Ames, Sandra Hirche
arxiv.org/abs/2506.10279

@arXiv_csCY_bot@mastoxiv.page
2025-06-11 07:24:43

Evaluation of Machine Learning Models in Student Academic Performance Prediction
A. G. R. Sandeepa, Sanka Mohottala
arxiv.org/abs/2506.08047

@arXiv_econGN_bot@mastoxiv.page
2025-06-13 07:56:20

An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia
Wishnu Badrawani
arxiv.org/abs/2506.10369

@mia@hcommons.social
2025-06-12 21:23:28

I don't know what it says about modern life but when I glanced at a message notification about 'weights' I wasn't sure if it was machine learning chat or the big strong lasses group

@arXiv_csLG_bot@mastoxiv.page
2025-06-12 09:03:51

SoK: Machine Unlearning for Large Language Models
Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu
arxiv.org/abs/2506.09227

@arXiv_eessSY_bot@mastoxiv.page
2025-06-12 08:17:31

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
Donglin Wang, Anjie Qiu, Qiuheng Zhou, Hans D. Schotten
arxiv.org/abs/2506.09512

@arXiv_physicscompph_bot@mastoxiv.page
2025-06-10 09:23:33

Scientific machine learning in Hydrology: a unified perspective
Adoubi Vincent De Paul Adombi
arxiv.org/abs/2506.06308

@arXiv_physicsaoph_bot@mastoxiv.page
2025-06-13 09:09:50

Prediction of steady states in a marine ecosystem model by a machine learning technique
Sarker Miraz Mahfuz, Thomas Slawig
arxiv.org/abs/2506.10475

@arXiv_statML_bot@mastoxiv.page
2025-06-12 09:52:11

Evasion Attacks Against Bayesian Predictive Models
Pablo G. Arce, Roi Naveiro, David R\'ios Insua
arxiv.org/abs/2506.09640

@inthehands@hachyderm.io
2025-06-12 03:40:24

I like @…’s analysis here in many respects, both its broad conclusion (when the hype dies down, the useful parts remain and we take them for granted as normal tools), and this gem here:
Machine learning is well-suited for ❝any problem where we don’t actually know the rules and where the cost of a wrong answer is significantly lower than the benefit of a right answer.❞
1/2 infosec.exchange/@david_chisna

@arXiv_physicschemph_bot@mastoxiv.page
2025-06-13 09:19:50

Machine learning accelerated finite-field simulations for electrochemical interfaces
Chaoqiang Feng, Bin Jiang
arxiv.org/abs/2506.10548

@arXiv_hepph_bot@mastoxiv.page
2025-06-12 09:24:51

Machine Learning Left-Right Breaking from Gravitational Waves
William Searle, Csaba Bal\'azs, Yang Xiao, Yang Zhang
arxiv.org/abs/2506.09319

@arXiv_qfinST_bot@mastoxiv.page
2025-06-12 09:41:21

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
Md. Yeasin Rahat, Rajan Das Gupta, Nur Raisa Rahman, Sudipto Roy Pritom, Samiur Rahman Shakir, Md Imrul Hasan Showmick, Md. Jakir Hossen
arxiv.org/abs/2506.09851

@arXiv_mathNA_bot@mastoxiv.page
2025-06-12 08:57:11

Machine Learning-based quadratic closures for non-intrusive Reduced Order Models
Gabriele Codega, Anna Ivagnes, Nicola Demo, Gianluigi Rozza
arxiv.org/abs/2506.09830

@arXiv_csNE_bot@mastoxiv.page
2025-06-10 07:56:32

Introduction to Predictive Coding Networks for Machine Learning
Mikko Stenlund
arxiv.org/abs/2506.06332 arxiv.org/pdf…

@arXiv_astrophCO_bot@mastoxiv.page
2025-06-12 08:37:21

Distinguishing Orbiting and Infalling Dark Matter Particles with Machine Learning
Ze'ev Vladimir, Calvin Osinga, Benedikt Diemer, Edgar M. Salazar, Eduardo Rozo
arxiv.org/abs/2506.09146

@arXiv_csRO_bot@mastoxiv.page
2025-06-13 08:06:50

Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks
Rohit Sonker, Alexandre Capone, Andrew Rothstein, Hiro Josep Farre Kaga, Egemen Kolemen, Jeff Schneider
arxiv.org/abs/2506.10287

@arXiv_mathDS_bot@mastoxiv.page
2025-06-10 08:26:32

Data-driven Identification of Attractors Using Machine Learning
Marcio Gameiro, Brittany Gelb, William Kalies, Miroslav Kramar, Konstantin Mischaikow, Paul Tatasciore
arxiv.org/abs/2506.06492

@arXiv_physicsgeoph_bot@mastoxiv.page
2025-06-11 09:16:05

TS-PIELM: Time-Stepping Physics-Informed Extreme Learning Machine Facilitates Soil Consolidation Analyses
He Yang, Fei Ren, Hai-Sui Yu, Xueyu Geng, Pei-Zhi Zhuang
arxiv.org/abs/2506.08381

@arXiv_quantph_bot@mastoxiv.page
2025-06-12 09:55:21

Local surrogates for quantum machine learning
Sreeraj Rajindran Nair, Christopher Ferrie
arxiv.org/abs/2506.09425 arx…

@arXiv_qbioOT_bot@mastoxiv.page
2025-05-15 07:37:05

Artificial intelligence-enabled precision medicine for inflammatory skin diseases
Alice Tang, Maria Wei, Anna Haemel, Cindy La, Marina Sirota, Ernest Y. Lee
arxiv.org/abs/2505.09527

@arXiv_csCR_bot@mastoxiv.page
2025-06-13 07:41:10

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu
arxiv.org/abs/2506.10399

@arXiv_eessIV_bot@mastoxiv.page
2025-06-13 08:22:00

Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias
arxiv.org/abs/2506.10233

@arXiv_physicsinsdet_bot@mastoxiv.page
2025-06-12 09:35:31

Machine Learning for the Cluster Reconstruction in the CALIFA Calorimeter at R3B
Tobias Jenegger, Nicole Hartman, Roman Gernhaeuser, Lukas Heinrich, Laura Fabbietti
arxiv.org/abs/2506.09088

@arXiv_mathOC_bot@mastoxiv.page
2025-06-10 17:24:19

This arxiv.org/abs/2410.08850 has been replaced.
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@arXiv_csLO_bot@mastoxiv.page
2025-06-06 09:36:13

This arxiv.org/abs/2505.13182 has been replaced.
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@arXiv_statME_bot@mastoxiv.page
2025-06-11 09:49:05

midr: Learning from Black-Box Models by Maximum Interpretation Decomposition
Ryoichi Asashiba, Reiji Kozuma, Hirokazu Iwasawa
arxiv.org/abs/2506.08338

@arXiv_astrophHE_bot@mastoxiv.page
2025-06-11 09:54:35

Identifying Merger-Driven Long Gamma-Ray Bursts based on Machine Learning
Si-Yuan Zhu, Hui-Ying Deng, Fu-Wen Zhang, Qian-Zi Mo, Pak-Hin Thomas Tam
arxiv.org/abs/2506.08675

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-13 09:58:10

Physics-informed Machine Learning Analysis for Nanoscale Grain Mapping by Synchrotron Laue Microdiffraction
Ka Hung Chan, Xinyue Huang, Nobumichi Tamura, Xian Chen
arxiv.org/abs/2506.10937

@arXiv_hepex_bot@mastoxiv.page
2025-06-11 09:01:35

Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC
CMS Collaboration
arxiv.org/abs/2506.08826

@arXiv_heplat_bot@mastoxiv.page
2025-06-10 08:55:22

Application of quantum machine learning using variational quantum classifier in accelerator physics
He-Xing Yin, Zhi-Yuan Hu, Huan-Huan Zeng, Jia-Bao Guan, Ji-ke Wang
arxiv.org/abs/2506.06662

@arXiv_physicsaoph_bot@mastoxiv.page
2025-06-12 09:30:02

Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial
Jingyang Wu, Rohitash Chandra
arxiv.org/abs/2506.09254

@arXiv_csDL_bot@mastoxiv.page
2025-06-12 13:06:39

Replaced article(s) found for cs.DL. arxiv.org/list/cs.DL/new/
[1/1]:
Forecasting high-impact research topics via machine learning on evolving knowledge graphs

@berlinbuzzwords@floss.social
2025-06-13 11:19:04

AIFoundry invites you to the 2nd edition of the AI Plumbers Conference, a meetup for low-level AI builders who value real conversations over keynote slides and for anyone working in modern data infrastructure, machine learning and open-source software projects. Connect, swap ideas and collaborate, free from the pressure of constant talks.
📅 When: June 15, 2025 – 10 am
📍 Where: GLS Event Campus Berlin, Kastanienallee 82 | 10435 Berlin
Register now:

AI Plumbers Conference
@arXiv_condmatdisnn_bot@mastoxiv.page
2025-06-10 08:48:22

Liquid and solid layers in a thermal deep learning machine
Gang Huang, Lai Shun Chan, Hajime Yoshino, Ge Zhang, Yuliang Jin
arxiv.org/abs/2506.06789

@arXiv_csLG_bot@mastoxiv.page
2025-06-09 10:07:52

Machine learning for in-situ composition mapping in a self-driving magnetron sputtering system
Sanna Jarl, Jens Sj\"olund, Robert J. W. Frost, Anders Holst, Jonathan J. S. Scragg
arxiv.org/abs/2506.05999

@usul@piaille.fr
2025-06-10 08:25:55

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity - Apple Machine Learning Research
machinelearning.apple.com/rese

@doebeli@mastodon.social
2025-03-28 12:03:27

Nach Rücksprache mit den Buch-Herausgebern und dem Verlag darf ich meine jüngste (und ausführlichste) Publikation zu generativen Machine-Learning-Systemen (GMLS) vom Januar 2025 bereits jetzt online zur Verfügung stellen: zenodo.org/records/15042499

Abstract: Die Veröffentlichung des ChatBots ChatGPT durch die Firma OpenAI Ende November 2022 löste einerseits einen großen medialen Hype und weitreichende gesellschaftliche Diskussionen aus und veränderte andererseits rasch Arbeitsweisen in verschiedensten Bereichen unserer Gesellschaft. Auch im Bildungsbereich haben generative Machine-Learning-Systeme wie ChatGPT rasch Verbreitung gefunden und sowohl Hoffnungen als auch Ängste ausgelöst. Der vorliegende Artikel ordnet diese Entwicklung in ein…
@arXiv_csDC_bot@mastoxiv.page
2025-06-12 07:26:21

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO
Jonas Svedas, Hannah Watson, Nathan Laubeuf, Diksha Moolchandani, Abubakr Nada, Arjun Singh, Dwaipayan Biswas, James Myers, Debjyoti Bhattacharjee
arxiv.org/abs/2506.09275

@arXiv_astrophIM_bot@mastoxiv.page
2025-06-10 10:04:33

Mitigating Polarization Leakage in Gas Pixel Detectors through Hybrid Machine Learning and Analytic Event Reconstruction
Nicol\'o Cibrario, Michela Negro, Raffaella Bonino, Nikita Moriakov, Luca Baldini, Niccol\'o Di Lalla, Alessandro Di Marco, Sergio Fabiani, Andrea Frass\'a, Alessio Gorgi, Fabio La Monaca, Luca Latronico, Simone Maldera, Alberto Manfreda, Fabio Muleri, Nicola Omodei, John Rankin, Carmelo Sgr\'o, Stefano Silvestri, Paolo Soffitta, Stefano Tugliani

@arXiv_astrophSR_bot@mastoxiv.page
2025-06-09 08:40:52

The TESS Ten Thousand Catalog: 10,001 uniformly-vetted and -validated Eclipsing Binary Stars detected in Full-Frame Image data by machine learning and analyzed by citizen scientists
Veselin B. Kostov, Brian P. Powell, Aline U. Fornear, Marco Z. Di Fraia, Robert Gagliano, Thomas L. Jacobs, Julien S. de Lambilly, Hugo A. Durantini Luca, Steven R. Majewski, Mark Omohundro, Jerome Orosz, Saul A. Rappaport, Ryan Salik, Donald Short, William Welsh, Svetoslav Alexandrov, Cledison Marcos da Si…

@arXiv_statML_bot@mastoxiv.page
2025-06-13 09:43:00

[2025-06-13 Fri (UTC), 10 new articles found for stat.ML Machine Learning]
toXiv_bot_toot

@arXiv_quantph_bot@mastoxiv.page
2025-06-10 18:12:00

This arxiv.org/abs/2204.04198 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_csSE_bot@mastoxiv.page
2025-06-11 07:54:45

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems
Renato Cordeiro Ferreira (University of S\~ao Paulo, Jheronimus Academy of Data Science, Technical University of Eindhoven, Tilburg University)
arxiv.org/abs/2506.08153

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-13 09:37:10

GEARS H: Accurate machine-learned Hamiltonians for next-generation device-scale modeling
Anubhab Haldar, Ali K. Hamze, Nikhil Sivadas, Yongwoo Shin
arxiv.org/abs/2506.10298

@arXiv_csRO_bot@mastoxiv.page
2025-06-12 08:41:01

Learning to Optimize Package Picking for Large-Scale, Real-World Robot Induction
Shuai Li, Azarakhsh Keipour, Sicong Zhao, Srinath Rajagopalan, Charles Swan, Kostas E. Bekris
arxiv.org/abs/2506.09765

@arXiv_eessIV_bot@mastoxiv.page
2025-06-13 08:10:40

Prompt-Guided Latent Diffusion with Predictive Class Conditioning for 3D Prostate MRI Generation
Emerson P. Grabke, Masoom A. Haider, Babak Taati
arxiv.org/abs/2506.10230

@arXiv_physicsaoph_bot@mastoxiv.page
2025-06-13 09:23:10

A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
Simon Lang, Martin Leutbecher, Pedro Maciel
arxiv.org/abs/2506.10868

@arXiv_physicschemph_bot@mastoxiv.page
2025-06-13 09:31:10

Deep Potential-Driven Molecular Dynamics of CO Ice Analogues: Investigating Desorption Following Vibrational Excitation
Maxime Infuso, Samuel Del Fr\'e, Gilberto A. Alou, Mathieu Bertin, Jean-Hugues Fillion, Alejandro Rivero Santamar\'ia, Maurice Monnerville
arxiv.org/abs/2506.10882

@arXiv_csLO_bot@mastoxiv.page
2025-06-04 13:35:19

This arxiv.org/abs/2505.13182 has been replaced.
initial toot: mastoxiv.page/@arXiv_csLO_…

@arXiv_csCR_bot@mastoxiv.page
2025-06-06 07:16:36

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
Gabriele Digregorio, Elisabetta Cainazzo, Stefano Longari, Michele Carminati, Stefano Zanero
arxiv.org/abs/2506.04978

@arXiv_csNE_bot@mastoxiv.page
2025-06-10 08:13:52

Employing Discrete Fourier Transform in Representational Learning
Raoof HojatJalali, Edmondo Trentin
arxiv.org/abs/2506.06765

@arXiv_mathNA_bot@mastoxiv.page
2025-06-13 08:39:20

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum
Liqi Guo, Ruike Xiang, Deren Han, Jiaxin Xie
arxiv.org/abs/2506.10261

@arXiv_statML_bot@mastoxiv.page
2025-06-11 09:55:45

Flexible and Efficient Drift Detection without Labels
Nelvin Tan, Yu-Ching Shih, Dong Yang, Amol Salunkhe
arxiv.org/abs/2506.08734

@arXiv_csSE_bot@mastoxiv.page
2025-06-13 08:18:10

BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
Surya Jasper, Minh Luu, Evan Pan, Aakash Tyagi, Michael Quinn, Jiang Hu, David Kebo Houngninou
arxiv.org/abs/2506.10501

@arXiv_csLG_bot@mastoxiv.page
2025-06-03 08:21:42

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence
John Violos, Konstantina-Christina Diamanti, Ioannis Kompatsiaris, Symeon Papadopoulos
arxiv.org/abs/2506.01869

@arXiv_econGN_bot@mastoxiv.page
2025-06-10 08:27:22

The impact of extracurricular education on socioeconomic mobility in Japan: an application of causal machine learning
Yang Qiang
arxiv.org/abs/2506.07421

@arXiv_qfinST_bot@mastoxiv.page
2025-06-10 18:24:00

This arxiv.org/abs/2506.03780 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_csCY_bot@mastoxiv.page
2025-06-12 07:32:01

Situated Bayes -- Feminist and Pluriversal Perspectives on Bayesian Knowledge
Juni Schindler, Goda Klumbyt\.e, Matthew Fuller
arxiv.org/abs/2506.09472

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-10 18:10:30

This arxiv.org/abs/2502.03578 has been replaced.
initial toot: mastoxiv.page/@a…

@arXiv_csDC_bot@mastoxiv.page
2025-06-05 09:38:29

This arxiv.org/abs/2505.04947 has been replaced.
initial toot: mastoxiv.page/@arXiv_csDC_…

@arXiv_astrophCO_bot@mastoxiv.page
2025-06-09 08:47:33

Observational Insights on DBI K-essence Models Using Machine Learning and Bayesian Analysis
Samit Ganguly, Arijit Panda, Eduardo Guendelman, Debashis Gangopadhyay, Abhijit Bhattacharyya, Goutam Manna
arxiv.org/abs/2506.05674

@arXiv_statML_bot@mastoxiv.page
2025-06-13 09:52:10

Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration
Kyohei Atarashi, Satoshi Oyama, Hiromi Arai, Hisashi Kashima
arxiv.org/abs/2506.10572

@arXiv_mathNA_bot@mastoxiv.page
2025-06-13 09:11:20

Accelerating Newton-Schulz Iteration for Orthogonalization via Chebyshev-type Polynomials
Ekaterina Grishina, Matvey Smirnov, Maxim Rakhuba
arxiv.org/abs/2506.10935

@arXiv_csLO_bot@mastoxiv.page
2025-06-06 07:19:16

Trustworthiness Preservation by Copies of Machine Learning Systems
Leonardo Ceragioli, Giuseppe Primiero
arxiv.org/abs/2506.05203

@arXiv_csSE_bot@mastoxiv.page
2025-06-10 08:05:02

Private GPTs for LLM-driven testing in software development and machine learning
Jakub Jagielski, Markus Abel
arxiv.org/abs/2506.06509

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-12 09:01:32

Comparing classical and machine learning force fields for modeling deformation of solid sorbents relevant for direct air capture
Logan M. Brabson, Andrew J. Medford, David S. Sholl
arxiv.org/abs/2506.09256

@arXiv_csCR_bot@mastoxiv.page
2025-06-02 07:16:24

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
arxiv.org/abs/2505.23791

@arXiv_csLG_bot@mastoxiv.page
2025-06-12 09:45:52

Adversarial Surrogate Risk Bounds for Binary Classification
Natalie S. Frank
arxiv.org/abs/2506.09348 arxiv.org/pdf/2…

@arXiv_quantph_bot@mastoxiv.page
2025-06-06 10:15:03

This arxiv.org/abs/2505.24765 has been replaced.
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@arXiv_csDC_bot@mastoxiv.page
2025-06-04 07:23:07

Machine Learning for Consistency Violation Faults Analysis
Kamal Giri, Amit Garu
arxiv.org/abs/2506.02002 arxiv.org/p…

@arXiv_csLG_bot@mastoxiv.page
2025-06-09 10:08:52

Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Sch\"olkopf
arxiv.org/abs/2506.06039

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-10 10:48:22

Beyond Scaling: Chemical Intuition as Emergent Ability of Universal Machine Learning Interatomic Potentials
Shinnosuke Hattori, Kohei Shimamura, Aiichiro Nakano, Rajiv K. Kalia, Priya Vashishta, Ken-ichi Nomura
arxiv.org/abs/2506.07579

@arXiv_csLO_bot@mastoxiv.page
2025-06-02 09:58:02

This arxiv.org/abs/2505.13182 has been replaced.
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@arXiv_csRO_bot@mastoxiv.page
2025-06-10 17:03:29

This arxiv.org/abs/2502.09180 has been replaced.
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@arXiv_statML_bot@mastoxiv.page
2025-06-12 09:44:12

[2025-06-12 Thu (UTC), 7 new articles found for stat.ML Machine Learning]
toXiv_bot_toot

@arXiv_quantph_bot@mastoxiv.page
2025-06-12 09:59:51

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models
Maja Franz, Melvin Strobl, Leonid Chaichenets, Eileen Kuehn, Achim Streit, Wolfgang Mauerer
arxiv.org/abs/2506.09527

@arXiv_csLG_bot@mastoxiv.page
2025-06-09 10:13:22

How to craft a deep reinforcement learning policy for wind farm flow control
Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, Damien Ernst
arxiv.org/abs/2506.06204

@arXiv_quantph_bot@mastoxiv.page
2025-06-12 10:08:11

Wasserstein Distances on Quantum Structures: an Overview
Emily Beatty
arxiv.org/abs/2506.09794 arxiv.org/pdf/2506.097…

@arXiv_csSE_bot@mastoxiv.page
2025-06-04 07:27:15

The Impact of Software Testing with Quantum Optimization Meets Machine Learning
Gopichand Bandarupalli
arxiv.org/abs/2506.02090

@arXiv_csLG_bot@mastoxiv.page
2025-06-12 08:25:21

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting
Yilin Zhuang, Karthik Duraisamy
arxiv.org/abs/2506.09193

@arXiv_quantph_bot@mastoxiv.page
2025-06-02 07:36:40

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Srikanth Thudumu, Jason Fisher, Hung Du
arxiv.org/abs/2505.24765

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-10 09:01:12

Machine Learning-Assisted Analysis of Combustion and Ignition in As-milled and Annealed Al/Zr Composite Powders
Michael R. Flickinger, Sreenivas Raguraman, Amee L. Polk, Colin Goodman, Megan Bokhoor, Rami Knio, Michael Kruppa, Mark A. Foster, Timothy P. Weihs
arxiv.org/abs/2506.06364

@arXiv_statML_bot@mastoxiv.page
2025-06-11 09:44:45

[2025-06-11 Wed (UTC), 6 new articles found for stat.ML Machine Learning]
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2025-06-03 17:19:46

This arxiv.org/abs/2205.10538 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_quantph_bot@mastoxiv.page
2025-06-10 11:41:22

A weighted quantum ensemble of homogeneous quantum classifiers
Emiliano Tolotti, Enrico Blanzieri, Davide Pastorello
arxiv.org/abs/2506.07810

@arXiv_csLG_bot@mastoxiv.page
2025-06-09 10:09:52

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
Linda Lu, Ayush Sekhari, Karthik Sridharan
arxiv.org/abs/2506.06073

@arXiv_quantph_bot@mastoxiv.page
2025-06-11 10:16:45

Superposed Parameterised Quantum Circuits
Viktoria Patapovich, Mo Kordzanganeh, Alexey Melnikov
arxiv.org/abs/2506.08749

@arXiv_csLG_bot@mastoxiv.page
2025-06-10 19:18:59

This arxiv.org/abs/2505.07614 has been replaced.
initial toot: mastoxiv.page/@arXiv_csLG_…

@arXiv_csLG_bot@mastoxiv.page
2025-06-03 08:21:23

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
Stephan Sturm
arxiv.org/abs/2506.01815

@arXiv_csLG_bot@mastoxiv.page
2025-06-03 16:45:26

This arxiv.org/abs/2205.09337 has been replaced.
link: scholar.google.com/scholar?q=a