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1
Key bacterial groups maintain stream multifunctionality in response to episodic drying
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Key bacterial groups maintain stream multifunctionality in response to episodic drying

Limnology and oceanography letters, 2024-06, Vol.9 (3), p.286-295 [Peer Reviewed Journal]

2024 The Authors. published by Wiley Periodicals LLC on behalf of Association for the Sciences of Limnology and Oceanography. ;2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2378-2242 ;EISSN: 2378-2242 ;DOI: 10.1002/lol2.10400

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2
Diagnosing and staging epithelial ovarian cancer by serum glycoproteomic profiling
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Diagnosing and staging epithelial ovarian cancer by serum glycoproteomic profiling

British journal of cancer, 2024-06, Vol.130 (10), p.1716-1724 [Peer Reviewed Journal]

2024. The Author(s), under exclusive licence to Springer Nature Limited. ;The Author(s), under exclusive licence to Springer Nature Limited 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0007-0920 ;EISSN: 1532-1827 ;DOI: 10.1038/s41416-024-02644-4 ;PMID: 38658783

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3
Optimally Improving Cooperative Learning in a Social Setting
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Optimally Improving Cooperative Learning in a Social Setting

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20808

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4
GUIDE: Guidance-based Incremental Learning with Diffusion Models
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GUIDE: Guidance-based Incremental Learning with Diffusion Models

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.03938

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5
Revisiting Mutual Information Maximization for Generalized Category Discovery
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Revisiting Mutual Information Maximization for Generalized Category Discovery

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20711

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6
Conditioning GAN Without Training Dataset
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Conditioning GAN Without Training Dataset

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20687

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7
CLIP-QDA: An Explainable Concept Bottleneck Model
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CLIP-QDA: An Explainable Concept Bottleneck Model

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2312.00110

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8
Amortizing intractable inference in diffusion models for vision, language, and control
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Amortizing intractable inference in diffusion models for vision, language, and control

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20971

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9
PUAL: A Classifier on Trifurcate Positive-Unlabeled Data
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PUAL: A Classifier on Trifurcate Positive-Unlabeled Data

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20970

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10
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
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Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.21048

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11
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum"
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Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum"

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.15927

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12
Aligning Multiclass Neural Network Classifier Criterion with Task Performance via \(F_\beta\)-Score
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Aligning Multiclass Neural Network Classifier Criterion with Task Performance via \(F_\beta\)-Score

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20954

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13
A-PETE: Adaptive Prototype Explanations of Tree Ensembles
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A-PETE: Adaptive Prototype Explanations of Tree Ensembles

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.21036

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14
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
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Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.17138

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15
Dirichlet Flow Matching with Applications to DNA Sequence Design
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Dirichlet Flow Matching with Applications to DNA Sequence Design

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.05841

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16
Robust Explainer Recommendation for Time Series Classification
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Robust Explainer Recommendation for Time Series Classification

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.05501

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17
HOLISMOKES XIII: Strong-lens candidates at all mass scales and their environments from the Hyper-Suprime Cam and deep learning
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HOLISMOKES XIII: Strong-lens candidates at all mass scales and their environments from the Hyper-Suprime Cam and deep learning

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.20383

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18
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models
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Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.04699

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19
Adaptive Rentention & Correction for Continual Learning
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Adaptive Rentention & Correction for Continual Learning

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.14318

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20
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
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Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.14828

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