We stand with Ukraine

We stand with Ukraine

Tianqi Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation.

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Nicha C. Dvornek

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David L. Wilson

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James S. Duncan

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Medical Image Anal., 2024

Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models.

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[DOI]

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CoRR, 2024

2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction.

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James S. Duncan

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CoRR, 2024

TernaryLLM: Ternarized Large Language Model.

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CoRR, 2024

POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.

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Vladimir Y. Panin

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Takuya Toyonaga

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James S. Duncan

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CoRR, 2024

PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation.

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James S. Duncan

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

A Dense Reward View on Aligning Text-to-Image Diffusion with Preference.

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

2023

Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts.

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CoRR, 2023

Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models.

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CoRR, 2023

Beta Diffusion.

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

Towards Efficient and Accurate Winograd Convolution via Full Quantization.

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

Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling.

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Proceedings of the International Conference on Machine Learning, 2023

2022

SONAR: Joint Architecture and System Optimization Search.

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[DOI]

Elias Jääsaari

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Ameet Talwalkar

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CoRR, 2022

Stack operation of tensor networks.

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CoRR, 2022

ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense.

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Indika Rajapakse

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Alfred O. Hero III

IEEE Access, 2022

RAILS: A Robust Adversarial Immune-Inspired Learning System.

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[DOI]

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Stephen Lindsly

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Cooper Stansbury

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Alnawaz Rehemtulla

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Indika Rajapakse

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Alfred O. Hero III

IEEE Access, 2022

2021

Deep Adversarially-Enhanced k-Nearest Neighbors.

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CoRR, 2021

Immuno-mimetic Deep Neural Networks (Immuno-Net).

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[DOI]

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Stephen Lindsly

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Cooper Stansbury

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Indika Rajapakse

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Alfred Olivier Hero

CoRR, 2021

Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements.

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Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

3D-Printed Immunosensor Arrays for Cancer Diagnostics.

[BibT_eX]

[DOI]

Mohamed Sharafeldin

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Karteek Kadimisetty

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Ketki S. Bhalerao

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James F. Rusling

Sensors, 2020

Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians.

[BibT_eX]

[DOI]

Fatemeh Homayounieh

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Ramandeep Singh

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Ellen J. Sugarman

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Thomas J. Schultz

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Subba R. Digumarthy

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Keith J. Dreyer

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Mannudeep K. Kalra

J. Digit. Imaging, 2020

RAILS: A Robust Adversarial Immune-inspired Learning System.

[BibT_eX]

[DOI]

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Stephen Lindsly

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Alnawaz Rehemtulla

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Alfred O. Hero III

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Indika Rajapakse

CoRR, 2020

Optimization Design of Self-Triggered Complex Detector for Space Range-Gated Imaging System.

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IEEE Access, 2020

Resource Allocation in Drone-Assisted Emergency Communication Systems.

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Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Risk-Taking Propensity During a Prolonged Voyage at Sea: A Simulator Experiment Study.

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Proceedings of the Cross-Cultural Design. User Experience of Products, Services, and Intelligent Environments, 2020

2016

Net2Net: Accelerating Learning via Knowledge Transfer.

[BibT_eX]

[DOI]

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Ian J. Goodfellow

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Jonathon Shlens

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Empirical Evaluation of Rectified Activations in Convolutional Network.

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CoRR, 2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

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CoRR, 2015

2014

Higgs Boson Discovery with Boosted Trees.

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Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014

2012

Semi-Supervised Technical Term Tagging With Minimal User Feedback.

[BibT_eX]

[DOI]

Behrang QasemiZadeh

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Georgeta Bordea

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

2011

Direction-of-Arrival Estimation Using a Sparse Representation of Array Covariance Vectors.

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IEEE Trans. Signal Process., 2011

2010

Transfer learning for behavioral targeting.

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Proceedings of the 19th International Conference on World Wide Web, 2010

2008

Joint multiple parameters estimation for coherent chirp signals using vector sensor array.

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Sci. China Ser. F Inf. Sci., 2008

1998

Simultaneously estimating frequency and direction of coherent signal via an array triplet in motion.

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Proceedings of the 9th European Signal Processing Conference, 1998

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