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This paper has been withdrawn by the authors due to an incorrect analysis.

High Energy Physics - Theory · Physics 2007-05-23 Eun Kyung Park , Pyung Seong Kwon

This paper has been withdrawn because Proposition 2.2 (c) is false. This invalids the main results of section 2 and 3. We thank A. Canonaco for pointing us the error.

Algebraic Geometry · Mathematics 2009-09-29 Carlos Sancho de Salas , Fernando Sancho de Salas

Reproducibility is an increasing concern in Artificial Intelligence (AI), particularly in the area of Deep Learning (DL). Being able to reproduce DL models is crucial for AI-based systems, as it is closely tied to various tasks like…

Machine Learning · Computer Science 2022-02-08 Boyuan Chen , Mingzhi Wen , Yong Shi , Dayi Lin , Gopi Krishnan Rajbahadur , Zhen Ming , Jiang

Reproducibility is a cornerstone of scientific research, enabling independent verification and validation of empirical findings. The topic gained prominence in fields such as psychology and medicine, where concerns about non - replicable…

Machine Learning · Computer Science 2025-08-05 Adil Mukhtar , Michael Hadwiger , Franz Wotawa , Gerald Schweiger

We present ReproducedPapers.org: an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among…

The iterative character of work in machine learning (ML) and artificial intelligence (AI) and reliance on comparisons against benchmark datasets emphasize the importance of reproducibility in that literature. Yet, resource constraints and…

Digital Libraries · Computer Science 2024-05-08 Rochana R. Obadage , Sarah M. Rajtmajer , Jian Wu

This paper has been withdrawn, pending revision of the main conclusion, in the light of the criticism of cond-mat/0302043.

Disordered Systems and Neural Networks · Physics 2007-05-23 D. K. Sunko

This paper has been withdrawn by the author, because it is now part of an enlarged version entitled "Time functions as utilities" arXiv:0909.0890

General Relativity and Quantum Cosmology · Physics 2009-09-14 E. Minguzzi

Learning algorithms and data are the driving forces for machine learning to bring about tremendous transformation of industrial intelligence. However, individuals' right to retract their personal data and relevant data privacy regulations…

Machine Learning · Computer Science 2023-05-23 Junde Li , Swaroop Ghosh

This paper has been withdrawn by the author due to a mistake in the proof of the main theorem.

Analysis of PDEs · Mathematics 2014-01-14 Christian G. Boehmer

The paper has been withdrawn.

Disordered Systems and Neural Networks · Physics 2007-05-23 L. I. Deych

This manuscript has been withdrawn by the author. Some of the material has been included in the manuscript 'Embedded Monopoles' at hep-th/0106254.

High Energy Physics - Theory · Physics 2007-05-23 Nathan F. Lepora

This paper has been withdrawn due to a crucial error in the proof of the main theorem

Algebraic Geometry · Mathematics 2007-05-23 Eriko Hironaka

This paper has been withdrawn, and will be superseded by another submission.

Quantum Physics · Physics 2008-02-03 Yu Shi

This paper has been withdrawn by the author due to a new work in [arXiv:0901.0456v4] which can contain the results in this paper.

Soft Condensed Matter · Physics 2009-06-10 Xiaohua Zhou

This paper has been removed by arXiv administrators because it plagiarizes gr-qc/0303009, hep-th/0405047, gr-qc/0412120, gr-qc/0602107, hep-th/0311050, and gr-qc/0508005. This paper has excessive overlap with the following papers also…

General Relativity and Quantum Cosmology · Physics 2019-10-21 Sezgin Aygun , Melis Aygun , Ismail Tarhan

This paper has been withdrawn

Quantum Algebra · Mathematics 2007-05-23 Frederick Leitner

The importance of replication is often discussed and advocated -- not only in the domains of visualization and HCI, but in all scientific areas. When replicating a study, design decisions need to be made with regards which aspects of the…

Human-Computer Interaction · Computer Science 2026-05-05 Yiheng Liang , Kim Marriott , Helen C. Purchase

Generative adversarial network (GAN) continues to be a popular research direction due to its high generation quality. It is observed that many state-of-the-art GANs generate samples that are more similar to the training set than a holdout…

Machine Learning · Computer Science 2022-10-25 Andrew Bai , Cho-Jui Hsieh , Wendy Kan , Hsuan-Tien Lin