Faculty

Institution

Unit

Venue

Michael Maire

Associate Professor of Computer Science

Toyota Technological Institute at Chicago

Affiliations

Toyota Technological Institute at Chicago

Michael Maire is currently serving as a Toyota Technological Institute At Chicago Associate Professor of Computer Science at Toyota Technological Institute At Chicago.

Honors

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Experiences

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Education

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Michael Maire

Toyota Technological Institute at Chicago

Associate Professor of Computer Science

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machine learning computer science deep learning computer vision neuroscience data science pattern recognition machine vision self-supervised learning computer engineering image analysis image representation supervised learning remote sensing visual perception image segmentation automated software engineering visualization information visualization localization multimedia retrieval image communication multimedia information processing computational intelligence computer graphics high performance computer architecture neuroradiology vascular biology animal physiology neurorehabilitation mammalian biology information technology image classification interactive visualization visual reasoning feature detection object detection image retrieval face detection facial recognition system multimodal learning colorization 3d computer vision scene understanding 3d vision model compression storage allocation data streaming architecture streaming algorithms large language models vision research test automation testing technique test-driven development test management mammalian physiology neuroregeneration cerebrovascular disease reperfusion injury ischemic syndrome visual category recognition empirical evaluation natural images face image good face clustering news images ultra-deep neural networks self-supervised relative depth multigrid neural architectures kv cache compression human judgement relative reflectance cloud apis panoptic segmentation pixel consensus voting contour detection machine intelligence technology intelligent computing neural computation technological forecasting machine learning research intelligent systems evolutionary intelligence engineering management design optimization multidisciplinary optimization artificial intelligence intelligent robotic systems neural network (machine learning) automation industrial design informatics soft computing bio-inspired computation natural computing computational engineering computational science evolutionary computation computational neuroscience robot learning digital image processing cybernetics visual science systems engineering information fusion architecture design industrial informatics memetic computing genetic programming design automation

Notable Scholarly Works

Notable Federal Grants

Collaborators

Hierarchical Implicit Neural Emulators. ArXiv.org (2025)

bio-inspired computationneural circuitsneural recodingcomputational neuroscienceneural computationneuroscience

Hyperdiffusionfields (Hydif): Diffusion-Guided Hypernetworks for Learning Implicit Molecular Neural Fields. ArXiv.org (2025)

biophysicsdiffusion-based modelingcomputational neurosciencedeep learningmolecular informaticsneuroscience

KEEPER: Automated Testing and Fixing of Machine Learning Software—Rcr Report. ACM Transactions on Software Engineering and Methodology (2025)

automated software engineeringsoftware analysisautomated machine learningsoftware engineeringprogram analysissoftware maintenancesoftware evolutionquality engineeringquality technologymachine learningsoftware testingcomputer science

Nested Diffusion Models Using Hierarchical Latent Priors. (2025)

PROGRESSOR: A Perceptually Guided Reward Estimator With Self-Supervised Online Refinement. arXiv (Cornell University) (2025)

Ayalew, TewodrosZhang, XiaoWu, Kevin YuanboJiang, TianchongMaire, MichaelWalter, Matthew R.

machine learningreward estimatorartificial intelligenceself-supervised online refinementdeep learningself-supervised learningdata sciencecomputer science

Approaching Deep Learning Through the Spectral Dynamics of Weights. arXiv (Cornell University) (2024)

Yunis, DavidPatel, Kumar KshitijWheeler, SamuelSavarese, PedroVardi, GalLivescu, KarenMaire, MichaelWalter, Matthew R.

deep learningcomputer sciencemachine learningspectral dynamics

CACHEGEN: Kv Cache Compression and Streaming for Fast Large Language Model Serving. (2024)

Yuhan LiuHanchen LiYihua ChengSiddhant RayYuyang HuangQizheng ZhangKuntai DuJiayi YaoShan LuGanesh AnanthanarayananMichael MaireHenry HoffmannAri HoltzmanJunchen Jiang

model compressionstorage allocationkv cache compressioncomputer engineeringparallel computingdata streaming architecturestreaming algorithmshigh performance computer architecturelanguage modelscomputer sciencelarge language models

Deciphering ‘What’ and ‘Where’ Visual Pathways From Spectral Clustering of Layer-Distributed Neural Representations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Xiao ZhangDavid YunisMichael Maire

cognitive neurosciencespectral clusteringcomputer visionlayer-distributed neural representationsmachine visionpattern recognitionimage analysisvisual processingcognitive sciencemachine learningneuroscience

Drop-Connect as a Fault-Tolerance Approach for Rram-Based Deep Neural Network Accelerators. arXiv (Cornell University) (2024)

Xiang, MingyuanXie, XuhanSavarese, PedroYuan, XinMaire, MichaelLi, Yanjing

systems engineeringfault tolerancedeep learningfault-tolerant controlcomputer science

Latent Intrinsics Emerge From Training to Relight. arXiv (Cornell University) (2024)

Zhang, XiaoGao, WilliamJain, SeemandharMaire, MichaelForsyth, David. A.Bhattad, Anand

deep learninglatent intrinsicsapplied mathematics

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Michael Maire

Associate Professor of Computer Science

Toyota Technological Institute at Chicago

Affiliations

Toyota Technological Institute at Chicago

Michael Maire is currently serving as a Toyota Technological Institute At Chicago Associate Professor of Computer Science at Toyota Technological Institute At Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Michael Maire

Toyota Technological Institute at Chicago

Associate Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Hierarchical Implicit Neural Emulators. ArXiv.org (2025)

bio-inspired computationneural circuitsneural recodingcomputational neuroscienceneural computationneuroscience

Hyperdiffusionfields (Hydif): Diffusion-Guided Hypernetworks for Learning Implicit Molecular Neural Fields. ArXiv.org (2025)

biophysicsdiffusion-based modelingcomputational neurosciencedeep learningmolecular informaticsneuroscience

KEEPER: Automated Testing and Fixing of Machine Learning Software—Rcr Report. ACM Transactions on Software Engineering and Methodology (2025)

Nested Diffusion Models Using Hierarchical Latent Priors. (2025)

PROGRESSOR: A Perceptually Guided Reward Estimator With Self-Supervised Online Refinement. arXiv (Cornell University) (2025)

Ayalew, TewodrosZhang, XiaoWu, Kevin YuanboJiang, TianchongMaire, MichaelWalter, Matthew R.

machine learningreward estimatorartificial intelligenceself-supervised online refinementdeep learningself-supervised learningdata sciencecomputer science

Approaching Deep Learning Through the Spectral Dynamics of Weights. arXiv (Cornell University) (2024)

Yunis, DavidPatel, Kumar KshitijWheeler, SamuelSavarese, PedroVardi, GalLivescu, KarenMaire, MichaelWalter, Matthew R.

deep learningcomputer sciencemachine learningspectral dynamics

CACHEGEN: Kv Cache Compression and Streaming for Fast Large Language Model Serving. (2024)

Yuhan LiuHanchen LiYihua ChengSiddhant RayYuyang HuangQizheng ZhangKuntai DuJiayi YaoShan LuGanesh AnanthanarayananMichael MaireHenry HoffmannAri HoltzmanJunchen Jiang

Xiao ZhangDavid YunisMichael Maire

Drop-Connect as a Fault-Tolerance Approach for Rram-Based Deep Neural Network Accelerators. arXiv (Cornell University) (2024)

Xiang, MingyuanXie, XuhanSavarese, PedroYuan, XinMaire, MichaelLi, Yanjing

systems engineeringfault tolerancedeep learningfault-tolerant controlcomputer science

Latent Intrinsics Emerge From Training to Relight. arXiv (Cornell University) (2024)

Zhang, XiaoGao, WilliamJain, SeemandharMaire, MichaelForsyth, David. A.Bhattad, Anand

deep learninglatent intrinsicsapplied mathematics

1
2
3
4
5
6
10 / page