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1
THE FUTURE OF AI IS HELPING US DISCOVER THE PAST
THE FUTURE OF AI IS HELPING US DISCOVER THE PAST
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THE FUTURE OF AI IS HELPING US DISCOVER THE PAST

Reason, 2024-06, Vol.56 (2), p.28-30

Copyright Reason Foundation Jun 2024 ;ISSN: 0048-6906

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2
Key AI Terms
Key AI Terms
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Key AI Terms

Reason, 2024-06, Vol.56 (2), p.5-5

Copyright Reason Foundation Jun 2024 ;ISSN: 0048-6906

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3
6 Easy Uses for AI
6 Easy Uses for AI
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6 Easy Uses for AI

Reason, 2024-06, Vol.56 (2), p.16-16

Copyright Reason Foundation Jun 2024 ;ISSN: 0048-6906

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4
A metabolic map and artificial intelligence-aided identification of nasopharyngeal carcinoma via a single-cell Raman platform
A metabolic map and artificial intelligence-aided identification of nasopharyngeal carcinoma via a single-cell Raman platform
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A metabolic map and artificial intelligence-aided identification of nasopharyngeal carcinoma via a single-cell Raman platform

British journal of cancer, 2024-06, Vol.130 (10), p.1635-1646 [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/s41416-024-02637-3 ;PMID: 38454165

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5
Diagnosing and staging epithelial ovarian cancer by serum glycoproteomic profiling
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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6
Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss
Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss
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Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss

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.2303.01123

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7
Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
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Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization

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.2405.14459

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8
Improved sampling via learned diffusions
Improved sampling via learned diffusions
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Improved sampling via learned diffusions

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.2307.01198

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9
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
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Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property

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.2405.14522

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10
Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form Classification
Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form Classification
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Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form Classification

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.2405.14162

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11
IB-AdCSCNet:Adaptive Convolutional Sparse Coding Network Driven by Information Bottleneck
IB-AdCSCNet:Adaptive Convolutional Sparse Coding Network Driven by Information Bottleneck
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IB-AdCSCNet:Adaptive Convolutional Sparse Coding Network Driven by Information Bottleneck

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.2405.14192

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12
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization
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Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization

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.2405.14334

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13
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
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SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification

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.2405.14506

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14
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
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Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields

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.2405.14599

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15
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
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Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution

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.2405.14840

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16
Likelihood-Free Gaussian Process for Regression
Likelihood-Free Gaussian Process for Regression
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Likelihood-Free Gaussian Process for Regression

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.2006.13456

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17
State-Constrained Offline Reinforcement Learning
State-Constrained Offline Reinforcement Learning
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Article 		Add to My Research

State-Constrained Offline Reinforcement Learning

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.2405.14374

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18
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation
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Article 		Add to My Research

FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation

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.2405.14232

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19
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
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Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery

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.2405.07552

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20
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
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This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

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.2405.14540

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