Risultati ricerca autore :: Library Catalog

1

Cognitive-Motor Integration in Assessing Bimanual Motor Skills Autoría: Yanik, Erim, Intes, Xavier, De, Suvranu

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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2

Inverting Foundation Models of Brain Function with Simulation-Based Inference Autoría: Bracher, Niels, Intes, Xavier, Radev, Stefan T.

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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High-Fidelity 3D Simulator for Synthetic fNIRS Data Generation Autoría: Eastmond, Condell, Bracher, Niels, Intes, Xavier, Radev, Stefan T.

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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4

Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing Autoría: Erbas, Ismail, Amarnath, Aporva, Pandey, Vikas, Swaminathan, Karthik, Wang, Naigang, Intes, Xavier

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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5

A 3D-Printed Table for Hybrid X-ray CT and Optical Imaging of a Live Mouse Autoría: Xue, Wenxuan, Liang, Yuxuan, Li, Mengzhou, Gao, Shan, Intes, Xavier R., Wang, Ge

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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6

One-shot skill assessment in high-stakes domains with limited data via meta learning Autoría: Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu

Pubblicazione 2022

Fuente: arXiv

Tipo de material: Preprint

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7

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging Autoría: Erbas, Ismail, Pandey, Vikas, Amarnath, Aporva, Wang, Naigang, Swaminathan, Karthik, Radev, Stefan T., Intes, Xavier

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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8

Compositional amortized inference for large-scale hierarchical Bayesian models Autoría: Arruda, Jonas, Pandey, Vikas, Sherry, Catherine, Barroso, Margarida, Intes, Xavier, Hasenauer, Jan, Radev, Stefan T.

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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9

JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference Autoría: Bracher, Niels, Kühmichel, Lars, Ivanova, Desi R., Intes, Xavier, Bürkner, Paul-Christian, Radev, Stefan T.

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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10

Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function Autoría: Erbas, Ismail, Pandey, Vikas, Nizam, Navid Ibtehaj, Yuan, Nanxue, Verma, Amit, Barosso, Margarida, Intes, Xavier

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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11

EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media Autoría: Erbas, Ismail, Demirkiran, Ferhat, Swaminathan, Karthik, Wang, Naigang, Nizam, Navid Ibtehaj, Radev, Stefan T., Maghraoui, Kaoutar El, Intes, Xavier, Pandey, Vikas

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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Cognitive-Motor Integration in Assessing Bimanual Motor Skills Autoría: Yanik, Erim, Intes, Xavier, De, Suvranu

Inverting Foundation Models of Brain Function with Simulation-Based Inference Autoría: Bracher, Niels, Intes, Xavier, Radev, Stefan T.

High-Fidelity 3D Simulator for Synthetic fNIRS Data Generation Autoría: Eastmond, Condell, Bracher, Niels, Intes, Xavier, Radev, Stefan T.

Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing Autoría: Erbas, Ismail, Amarnath, Aporva, Pandey, Vikas, Swaminathan, Karthik, Wang, Naigang, Intes, Xavier

A 3D-Printed Table for Hybrid X-ray CT and Optical Imaging of a Live Mouse Autoría: Xue, Wenxuan, Liang, Yuxuan, Li, Mengzhou, Gao, Shan, Intes, Xavier R., Wang, Ge

One-shot skill assessment in high-stakes domains with limited data via meta learning Autoría: Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging Autoría: Erbas, Ismail, Pandey, Vikas, Amarnath, Aporva, Wang, Naigang, Swaminathan, Karthik, Radev, Stefan T., Intes, Xavier

Compositional amortized inference for large-scale hierarchical Bayesian models Autoría: Arruda, Jonas, Pandey, Vikas, Sherry, Catherine, Barroso, Margarida, Intes, Xavier, Hasenauer, Jan, Radev, Stefan T.

JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference Autoría: Bracher, Niels, Kühmichel, Lars, Ivanova, Desi R., Intes, Xavier, Bürkner, Paul-Christian, Radev, Stefan T.

Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function Autoría: Erbas, Ismail, Pandey, Vikas, Nizam, Navid Ibtehaj, Yuan, Nanxue, Verma, Amit, Barosso, Margarida, Intes, Xavier

Risultati della ricerca - Intes, Xavier

Cognitive-Motor Integration in Assessing Bimanual Motor Skills Autoría: Yanik, Erim, Intes, Xavier, De, Suvranu

Inverting Foundation Models of Brain Function with Simulation-Based Inference Autoría: Bracher, Niels, Intes, Xavier, Radev, Stefan T.

High-Fidelity 3D Simulator for Synthetic fNIRS Data Generation Autoría: Eastmond, Condell, Bracher, Niels, Intes, Xavier, Radev, Stefan T.

Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing Autoría: Erbas, Ismail, Amarnath, Aporva, Pandey, Vikas, Swaminathan, Karthik, Wang, Naigang, Intes, Xavier

A 3D-Printed Table for Hybrid X-ray CT and Optical Imaging of a Live Mouse Autoría: Xue, Wenxuan, Liang, Yuxuan, Li, Mengzhou, Gao, Shan, Intes, Xavier R., Wang, Ge

One-shot skill assessment in high-stakes domains with limited data via meta learning Autoría: Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging Autoría: Erbas, Ismail, Pandey, Vikas, Amarnath, Aporva, Wang, Naigang, Swaminathan, Karthik, Radev, Stefan T., Intes, Xavier

Compositional amortized inference for large-scale hierarchical Bayesian models Autoría: Arruda, Jonas, Pandey, Vikas, Sherry, Catherine, Barroso, Margarida, Intes, Xavier, Hasenauer, Jan, Radev, Stefan T.

JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference Autoría: Bracher, Niels, Kühmichel, Lars, Ivanova, Desi R., Intes, Xavier, Bürkner, Paul-Christian, Radev, Stefan T.

Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function Autoría: Erbas, Ismail, Pandey, Vikas, Nizam, Navid Ibtehaj, Yuan, Nanxue, Verma, Amit, Barosso, Margarida, Intes, Xavier

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