Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach.

[BibT_eX]

[DOI]

Xiaoli Wu

Hao Wu

BMC Medical Informatics Decis. Mak., December, 2024

A Survey on Generative Diffusion Models.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

Neural Augmentation Based Panoramic High Dynamic Range Stitching.

[BibT_eX]

[DOI]

CoRR, 2024

Distributed Architecture for FPGA-based Superconducting Qubit Control.

[BibT_eX]

[DOI]

CoRR, 2024

TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer.

[BibT_eX]

[DOI]

CoRR, 2024

QubiCML: ML-Powered Real-Time Quantum State Discrimination Enabling Mid-Circuit Measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Updated QubiC: Improved Scalability, Performance, and QPU Support.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Hamiltonian Score Matching and Generative Flows.

[BibT_eX]

[DOI]

Peter Holderrieth

Yilun Xu

Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

GenPhys: From Physical Processes to Generative Models.

[BibT_eX]

[DOI]

CoRR, 2023

QubiC 2.0: A Flexible Advanced Full Stack Quantum Bit Control System.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Restart Sampling for Improving Generative Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physics-Driven Deep Panoramic Imaging for High Dynamic Range Scenes.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

PFGM++: Unlocking the Potential of Physics-Inspired Generative Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Stable Target Field for Reduced Variance Score Estimation in Diffusion Models.

[BibT_eX]

[DOI]

Yilun Xu

Shangyuan Tong

Tommi S. Jaakkola

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep Joint Demosaicing and High Dynamic Range Imaging Within a Single Shot.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Using gravity model to make store closing decisions: A data driven approach.

[BibT_eX]

[DOI]

Alex 'Sandy' Pentland

Expert Syst. Appl., 2022

Distributed Processor for FPGA-based Superconducting Qubit Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Poisson Flow Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Controlling Directions Orthogonal to a Classifier.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Color Mapping Functions For HDR Panorama Imaging: Weighted Histogram Averaging.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Representations that Support Robust Transfer of Predictors.

[BibT_eX]

[DOI]

Yilun Xu

Tommi S. Jaakkola

CoRR, 2021

Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Restoration of HDR Images for SVE-Based HDRI via a Novel DCNN.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Anytime Sampling for Autoregressive Models via Ordered Autoencoding.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Theory of Usable Information under Computational Constraints.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

L_DMI: An Information-theoretic Noise-robust Loss Function.

[BibT_eX]

[DOI]

CoRR, 2019

L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Yilun Xu

Bibliography

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