University of Illinois Urbana-Champaign

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Showing 1–30 of 33 items
Thumbnail for Automated theorem proving agent with memory
Automated theorem proving agent with memory
Zhang, Heling

Thumbnail for Active Learning for Brain Tumor Segmentation
Active Learning for Brain Tumor Segmentation
Shen, Maohao

Thumbnail for Synthesizing a complete tomographic study with nodules from multiple radiograph views via deep generative models
Synthesizing a complete tomographic study with nodules from multiple radiograph views via deep generative models
Chen, Andrew

Thumbnail for Toward communication-efficient and secure distributed machine learning
Toward communication-efficient and secure distributed machine learning
Xie, Cong

Thumbnail for A Bayesian model for dynamic functional connectivity estimation in the human brain with structural priors
A Bayesian model for dynamic functional connectivity estimation in the human brain with structural priors
Manchanda, Sameer

Thumbnail for Decoding brains by paying attention: An attention-based fMRI task state decoding deep network architecture
Decoding brains by paying attention: An attention-based fMRI task state decoding deep network architecture
Roxas, Francis

Thumbnail for Network inference via clustered fused graphical lasso
Network inference via clustered fused graphical lasso
Zhu, Yizhi

Thumbnail for A spatial deep network architecture for brain decoding
A spatial deep network architecture for brain decoding
Habeeb, Haroun

Thumbnail for Fair-doctor: Detecting and mitigating unfairness in neural networks
Fair-doctor: Detecting and mitigating unfairness in neural networks
Adhikari, Rittika

Thumbnail for Classification performance metric elicitation and its applications
Classification performance metric elicitation and its applications
Hiranandani, Gaurush

Thumbnail for Joint super resolution and denoising: learning to recover sharp features in radiology images
Joint super resolution and denoising: learning to recover sharp features in radiology images
Cole, Patrick Alexander

Thumbnail for Efficient visualization for large-scale and high-dimensional single-cell data
Efficient visualization for large-scale and high-dimensional single-cell data
Kim, Juho

Thumbnail for Learning distributions with Particle Mirror Descent
Learning distributions with Particle Mirror Descent
Zhang, Ailing

Thumbnail for Approximating cutnorm: A robust method to compute distance between dense graphs for prediction and interpretation
Approximating cutnorm: A robust method to compute distance between dense graphs for prediction and interpretation
Chiu, Ping-Ko

Thumbnail for Automated detection of ultrastructural features at neuronal synapses
Automated detection of ultrastructural features at neuronal synapses
Ramesh, Ashwin

Thumbnail for A non-convex framework for structured non-stationary covariance recovery theory and application
A non-convex framework for structured non-stationary covariance recovery theory and application
Tsai, Katherine

Thumbnail for DeepBall: Modeling expectation and uncertainty in baseball with recurrent neural networks
DeepBall: Modeling expectation and uncertainty in baseball with recurrent neural networks
Calzada, Daniel

Thumbnail for Provable stability defenses for targeted data poisoning
Provable stability defenses for targeted data poisoning
Vijitbenjaronk, Warut D.

Thumbnail for Optical imaging with machine learning for the automated characterization of micro- and nanoscale devices
Optical imaging with machine learning for the automated characterization of micro- and nanoscale devices
Purandare, Sanyogita

Thumbnail for The influence of semantics on the visual processing of natural scenes
The influence of semantics on the visual processing of natural scenes
Kumar, Manoj

Thumbnail for Bayesian high dimensional modeling with group structures
Bayesian high dimensional modeling with group structures
Yang, Xinming

Thumbnail for Probabilistic subclonal reconstruction for cancer
Probabilistic subclonal reconstruction for cancer
Kim, Juho • 2022

Thumbnail for Data generalization for new classes with a single instance via automatic style labeling and transfer
Data generalization for new classes with a single instance via automatic style labeling and transfer
Zou, Yuxuan

Thumbnail for Bayesian coresets: Revisiting the nonconvex optimization perspective
Bayesian coresets: Revisiting the nonconvex optimization perspective
Zhang, Yibo • 2022

Thumbnail for Probabilistic performance metric elicitation
Probabilistic performance metric elicitation
Robertson, Zachary • 2022

Thumbnail for On sparse mirror descent
On sparse mirror descent
Guha, Shovik • 2022

Thumbnail for Contrasting with adversarial examples improves self-supervised representation learning
Contrasting with adversarial examples improves self-supervised representation learning
Yuan, Meilu • 2022

Thumbnail for Federated domain adaptation for healthcare
Federated domain adaptation for healthcare
Jiang, Enyi • 2023

Thumbnail for Intrinsic functional connectivity networks in endogenously maintained cognitive states
Intrinsic functional connectivity networks in endogenously maintained cognitive states
Egan, Maximillian Kirichenko • 2024

Thumbnail for Integrating mechanistic insights and models with machine learning: Applications in addressing neurological disorders
Integrating mechanistic insights and models with machine learning: Applications in addressing neurological disorders
Saboo, Krishnakant V. • 2024