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7501

Unveiling Concept Attribution in Diffusion Models Autoría: Nguyen, Quang H., Phan, Hoang, Doan, Khoa D.

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7502

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Autoría: Chen, Yishuo, Wang, Boran, Guo, Xinyu, Zhu, Wenbin, He, Jiasheng, Liu, Xiaobin, Yuan, Jing

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7503

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services Autoría: Lin, Youfang, Fu, Jinji, Wen, Haomin, Wang, Jiyuan, Wei, Zhenjie, Qiang, Yuting, Mao, Xiaowei, Wu, Lixia, Hu, Haoyuan, Liang, Yuxuan, Wan, Huaiyu

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7504

Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation Autoría: Vukadin, Davor, Afrić, Petar, Šilić, Marin, Delač, Goran

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7505

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation Autoría: Huang, Shiqi, He, Shuting, Wen, Bihan

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7506

Using matrix-product states for time-series machine learning Autoría: Moore, Joshua B., Stackhouse, Hugo P., Fulcher, Ben D., Mahmoodian, Sahand

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7507

LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System Autoría: Olowe, Emmanuel A., Chitnis, Danial

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7508

TrajLearn: Trajectory Prediction Learning using Deep Generative Models Autoría: Nadiri, Amirhossein, Li, Jing, Faraji, Ali, Abuoda, Ghadeer, Papagelis, Manos

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7509

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction Autoría: Hu, Teng, Zhang, Jiangning, Yi, Ran, Weng, Jieyu, Wang, Yabiao, Zeng, Xianfang, Xue, Zhucun, Ma, Lizhuang

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7510

Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern Autoría: Zarebavani, Behrooz, Kaufman, Danny M., Levin, David I. W., Dehnavi, Maryam Mehri

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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7511

CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection Autoría: Zhang, Xiang, Fu, Chenchen, Cui, Yufei, Yi, Lan, Sun, Yuyang, Wu, Weiwei, Liu, Xue

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7512

Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping Autoría: Zhang, Muru, Mishra, Mayank, Zhou, Zhongzhu, Brandon, William, Wang, Jue, Kim, Yoon, Ragan-Kelley, Jonathan, Song, Shuaiwen Leon, Athiwaratkun, Ben, Dao, Tri

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7513

ExoSim 2: the new Exoplanet Observation Simulator applied to the Ariel space mission Autoría: Mugnai, Lorenzo V., Bocchieri, Andrea, Pascale, Enzo, Lorenzani, Andrea, Papageorgiou, Andreas

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7514

ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis Autoría: Liu, Haoxiong, Sun, Jiacheng, Li, Zhenguo, Yao, Andrew C

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7515

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Autoría: Maus, Natalie, Kim, Kyurae, Zeng, Yimeng, Jones, Haydn Thomas, Wan, Fangping, Torres, Marcelo Der Torossian, de la Fuente-Nunez, Cesar, Gardner, Jacob R.

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7516

VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images Autoría: Maqsood, Arooba, Ilyas, Zaid, Saleem, Afsah, Zhang, Erchuan, Suter, David, Raina, Parminder, Hodgson, Jonathan M., Schousboe, John T., Leslie, William D., Lewis, Joshua R., Gilani, Syed Zulqarnain

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7517

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes Autoría: Jayawardhana, Mayuka, Renbo, Dooley, Samuel, Cherepanova, Valeriia, Wilson, Andrew Gordon, Hutter, Frank, White, Colin, Goldstein, Tom, Goldblum, Micah

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7518

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework Autoría: Tian, Yuan, Zhou, Wenqi, Viscione, Michele, Dong, Hao, Kammer, David, Fink, Olga

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7519

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection Autoría: Song, Dongsu, Ko, Daehwa, Jung, Jay Hoon

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7520

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion Autoría: Puglisi, Lemuel, Alexander, Daniel C., Ravì, Daniele

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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Unveiling Concept Attribution in Diffusion Models Autoría: Nguyen, Quang H., Phan, Hoang, Doan, Khoa D.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Autoría: Chen, Yishuo, Wang, Boran, Guo, Xinyu, Zhu, Wenbin, He, Jiasheng, Liu, Xiaobin, Yuan, Jing

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services Autoría: Lin, Youfang, Fu, Jinji, Wen, Haomin, Wang, Jiyuan, Wei, Zhenjie, Qiang, Yuting, Mao, Xiaowei, Wu, Lixia, Hu, Haoyuan, Liang, Yuxuan, Wan, Huaiyu

Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation Autoría: Vukadin, Davor, Afrić, Petar, Šilić, Marin, Delač, Goran

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation Autoría: Huang, Shiqi, He, Shuting, Wen, Bihan

Using matrix-product states for time-series machine learning Autoría: Moore, Joshua B., Stackhouse, Hugo P., Fulcher, Ben D., Mahmoodian, Sahand

LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System Autoría: Olowe, Emmanuel A., Chitnis, Danial

TrajLearn: Trajectory Prediction Learning using Deep Generative Models Autoría: Nadiri, Amirhossein, Li, Jing, Faraji, Ali, Abuoda, Ghadeer, Papagelis, Manos

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction Autoría: Hu, Teng, Zhang, Jiangning, Yi, Ran, Weng, Jieyu, Wang, Yabiao, Zeng, Xianfang, Xue, Zhucun, Ma, Lizhuang

Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern Autoría: Zarebavani, Behrooz, Kaufman, Danny M., Levin, David I. W., Dehnavi, Maryam Mehri

CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection Autoría: Zhang, Xiang, Fu, Chenchen, Cui, Yufei, Yi, Lan, Sun, Yuyang, Wu, Weiwei, Liu, Xue

Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping Autoría: Zhang, Muru, Mishra, Mayank, Zhou, Zhongzhu, Brandon, William, Wang, Jue, Kim, Yoon, Ragan-Kelley, Jonathan, Song, Shuaiwen Leon, Athiwaratkun, Ben, Dao, Tri

ExoSim 2: the new Exoplanet Observation Simulator applied to the Ariel space mission Autoría: Mugnai, Lorenzo V., Bocchieri, Andrea, Pascale, Enzo, Lorenzani, Andrea, Papageorgiou, Andreas

ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis Autoría: Liu, Haoxiong, Sun, Jiacheng, Li, Zhenguo, Yao, Andrew C

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Autoría: Maus, Natalie, Kim, Kyurae, Zeng, Yimeng, Jones, Haydn Thomas, Wan, Fangping, Torres, Marcelo Der Torossian, de la Fuente-Nunez, Cesar, Gardner, Jacob R.

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes Autoría: Jayawardhana, Mayuka, Renbo, Dooley, Samuel, Cherepanova, Valeriia, Wilson, Andrew Gordon, Hutter, Frank, White, Colin, Goldstein, Tom, Goldblum, Micah

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework Autoría: Tian, Yuan, Zhou, Wenqi, Viscione, Michele, Dong, Hao, Kammer, David, Fink, Olga

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection Autoría: Song, Dongsu, Ko, Daehwa, Jung, Jay Hoon

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion Autoría: Puglisi, Lemuel, Alexander, Daniel C., Ravì, Daniele

Risultati della ricerca - (endedededededededededededecoding OR coding) (algorithm OR algorithmics)

Cerca anche:

Unveiling Concept Attribution in Diffusion Models Autoría: Nguyen, Quang H., Phan, Hoang, Doan, Khoa D.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Autoría: Chen, Yishuo, Wang, Boran, Guo, Xinyu, Zhu, Wenbin, He, Jiasheng, Liu, Xiaobin, Yuan, Jing

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services Autoría: Lin, Youfang, Fu, Jinji, Wen, Haomin, Wang, Jiyuan, Wei, Zhenjie, Qiang, Yuting, Mao, Xiaowei, Wu, Lixia, Hu, Haoyuan, Liang, Yuxuan, Wan, Huaiyu

Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation Autoría: Vukadin, Davor, Afrić, Petar, Šilić, Marin, Delač, Goran

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation Autoría: Huang, Shiqi, He, Shuting, Wen, Bihan

Using matrix-product states for time-series machine learning Autoría: Moore, Joshua B., Stackhouse, Hugo P., Fulcher, Ben D., Mahmoodian, Sahand

LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System Autoría: Olowe, Emmanuel A., Chitnis, Danial

TrajLearn: Trajectory Prediction Learning using Deep Generative Models Autoría: Nadiri, Amirhossein, Li, Jing, Faraji, Ali, Abuoda, Ghadeer, Papagelis, Manos

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction Autoría: Hu, Teng, Zhang, Jiangning, Yi, Ran, Weng, Jieyu, Wang, Yabiao, Zeng, Xianfang, Xue, Zhucun, Ma, Lizhuang

Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern Autoría: Zarebavani, Behrooz, Kaufman, Danny M., Levin, David I. W., Dehnavi, Maryam Mehri

CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection Autoría: Zhang, Xiang, Fu, Chenchen, Cui, Yufei, Yi, Lan, Sun, Yuyang, Wu, Weiwei, Liu, Xue

Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping Autoría: Zhang, Muru, Mishra, Mayank, Zhou, Zhongzhu, Brandon, William, Wang, Jue, Kim, Yoon, Ragan-Kelley, Jonathan, Song, Shuaiwen Leon, Athiwaratkun, Ben, Dao, Tri

ExoSim 2: the new Exoplanet Observation Simulator applied to the Ariel space mission Autoría: Mugnai, Lorenzo V., Bocchieri, Andrea, Pascale, Enzo, Lorenzani, Andrea, Papageorgiou, Andreas

ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis Autoría: Liu, Haoxiong, Sun, Jiacheng, Li, Zhenguo, Yao, Andrew C

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Autoría: Maus, Natalie, Kim, Kyurae, Zeng, Yimeng, Jones, Haydn Thomas, Wan, Fangping, Torres, Marcelo Der Torossian, de la Fuente-Nunez, Cesar, Gardner, Jacob R.

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes Autoría: Jayawardhana, Mayuka, Renbo, Dooley, Samuel, Cherepanova, Valeriia, Wilson, Andrew Gordon, Hutter, Frank, White, Colin, Goldstein, Tom, Goldblum, Micah

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework Autoría: Tian, Yuan, Zhou, Wenqi, Viscione, Michele, Dong, Hao, Kammer, David, Fink, Olga

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection Autoría: Song, Dongsu, Ko, Daehwa, Jung, Jay Hoon

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion Autoría: Puglisi, Lemuel, Alexander, Daniel C., Ravì, Daniele

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