Faculty

Institution

Unit

Venue

Amin Karbasi

Associate Professor of Electrical Engineering & Computer Science

Yale University

Affiliations

Computer Science

Electrical Engineering

Engineering & Applied Science

Statistics & Data Science

Amin Karbasi is currently serving as a Computer Science Associate Professor of Electrical Engineering & Computer Science at Yale University.

Honors

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Experiences

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Education

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Amin Karbasi

Yale University

Associate Professor of Electrical Engineering & Computer Science

You can click a keyword to filter the displayed items

machine learning computer science applied mathematics neuroscience mathematical optimization cognitive science artificial intelligence neural computation computational neuroscience cognitive neuroscience systems neuroscience computational intelligence submodular maximization neuroimaging signal processing information theory neuroinformatics computational optimization active learning supervised learning optimal transport data summarization continuous submodular maximization streaming data streaming algorithms learning theory continuous optimization stochastic optimization associative memory (psychology) convex optimization connectomics biomedical imaging combinatorial optimization stream processing data streams brain imaging object categorization intelligent classification classification method positioning systems convolutional neural networks estimation theory medical image analysis incremental learning single individual single functional atlas sensor network localization local connectivity deletion-robust submodular maximization query synthesis noisy setting continuous settings information technology speech processing knowledge discovery wireless communications networked system design intelligent computing fuzzy sets memory studies higher education natural computing bio-inspired computation data stream mining graph analysis crowd behavior social categorization speech technology array processing unconstrained optimization adaptive optimization functional parcel definitions cognitive state convex minimization probabilistic tests mds-map algorithm

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Flow-Based Truncated Denoising Diffusion Model for Super-Resolution Magnetic Resonance Spectroscopic Imaging. Medical Image Analysis (2024)

Siyuan DongZhuotong CaiGilbert HangelWolfgang BognerGeorg WidhalmYaqing HuangQinghao LiangChenyu YouChathura KumaragamageRobert K FulbrightAmit MahajanAmin KarbasiJohn A OnofreyRobin A de GraafJames S Duncan

biophysicsdiffusion-based modelingmedical imagingdiffusion modelimage denoisingsuper-resolution imagingbiomedical imagingmedical image analysis

Batched Neural Bandits. ACM / IMS Journal of Data Science (2024)

Quanquan GuAmin KarbasiKhashayar KhosraviVahab MirrokniDongruo Zhou

deep learningcomputer sciencemachine learningneural bandits

Injecting Undetectable Backdoors in Deep Learning and Language Models. arXiv (Cornell University) (2024)

Kalavasis, AlkisKarbasi, AminOikonomou, ArgyrisSotiraki, KaterinaVelegkas, GrigorisZampetakis, Manolis

deep learningcomputer scienceundetectable backdoors

On the Computational Landscape of Replicable Learning. arXiv (Cornell University) (2024)

Kalavasis, AlkisKarbasi, AminVelegkas, GrigorisZhou, Felix

replicable learningcomputer sciencemachine learningcomputational landscape

Procurement Auctions via Approximately Optimal Submodular Optimization. arXiv (Cornell University) (2024)

Deng, YuanKarbasi, AminMirrokni, VahabLeme, Renato PaesVelegkas, GrigorisZuo, Song

mathematical optimizationmarket designoptimization problemsprocurement auctionseconomicsresource allocationoptimal submodular optimization

Replicable Learning of Large-Margin Halfspaces. arXiv (Cornell University) (2024)

Kalavasis, AlkisKarbasi, AminLarsen, Kasper GreenVelegkas, GrigorisZhou, Felix

large-margin halfspacesgeometric learningmachine learning researchapplied mathematicsreplicable learningmachine learning

Cross Atlas Remapping via Optimal Transport (Carot): Creating Connectomes for Different Atlases When Raw Data is Not Available. Medical Image Analysis (2023)

Javid DadashkarimiAmin KarbasiQinghao LiangMatthew RosenblattStephanie NobleMaya FosterRaimundo RodriguezBrendan AdkinsonJean YeHuili SunChris CampMichael FarruggiaLink TejavibulyaWei DaiRongtao JiangAngeliki PollatouDustin Scheinost

radiologyraw dataoptimal transportneuroimagingmedical imagingmedical image analysisdifferent atlasesconnectomics

Optimal Learners for Realizable Regression: Pac Learning and Online Learning. arXiv (Cornell University) (2023)

Attias, IdanHanneke, SteveKalavasis, AlkisKarbasi, AminVelegkas, Grigoris

online learningpac learningrealizable regressionoptimal learnersmachine learning

Replicability in Reinforcement Learning. arXiv (Cornell University) (2023)

Karbasi, AminVelegkas, GrigorisYang, Lin F.Zhou, Felix

computer sciencemachine learningreplicationreinforcement learning

Replicable Clustering. arXiv (Cornell University) (2023)

Esfandiari, HosseinKarbasi, AminMirrokni, VahabVelegkas, GrigorisZhou, Felix

clusteringreplicable clusteringcomputer sciencemachine learning

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Amin Karbasi

Associate Professor of Electrical Engineering & Computer Science

Yale University

Affiliations

Computer Science

Electrical Engineering

Engineering & Applied Science

Statistics & Data Science

Amin Karbasi is currently serving as a Computer Science Associate Professor of Electrical Engineering & Computer Science at Yale University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Amin Karbasi

Yale University

Associate Professor of Electrical Engineering & Computer Science

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Flow-Based Truncated Denoising Diffusion Model for Super-Resolution Magnetic Resonance Spectroscopic Imaging. Medical Image Analysis (2024)

biophysicsdiffusion-based modelingmedical imagingdiffusion modelimage denoisingsuper-resolution imagingbiomedical imagingmedical image analysis

Batched Neural Bandits. ACM / IMS Journal of Data Science (2024)

Quanquan GuAmin KarbasiKhashayar KhosraviVahab MirrokniDongruo Zhou

deep learningcomputer sciencemachine learningneural bandits

Injecting Undetectable Backdoors in Deep Learning and Language Models. arXiv (Cornell University) (2024)

Kalavasis, AlkisKarbasi, AminOikonomou, ArgyrisSotiraki, KaterinaVelegkas, GrigorisZampetakis, Manolis

deep learningcomputer scienceundetectable backdoors

On the Computational Landscape of Replicable Learning. arXiv (Cornell University) (2024)

Kalavasis, AlkisKarbasi, AminVelegkas, GrigorisZhou, Felix

replicable learningcomputer sciencemachine learningcomputational landscape

Procurement Auctions via Approximately Optimal Submodular Optimization. arXiv (Cornell University) (2024)

Deng, YuanKarbasi, AminMirrokni, VahabLeme, Renato PaesVelegkas, GrigorisZuo, Song

mathematical optimizationmarket designoptimization problemsprocurement auctionseconomicsresource allocationoptimal submodular optimization

Replicable Learning of Large-Margin Halfspaces. arXiv (Cornell University) (2024)

Kalavasis, AlkisKarbasi, AminLarsen, Kasper GreenVelegkas, GrigorisZhou, Felix

large-margin halfspacesgeometric learningmachine learning researchapplied mathematicsreplicable learningmachine learning

Cross Atlas Remapping via Optimal Transport (Carot): Creating Connectomes for Different Atlases When Raw Data is Not Available. Medical Image Analysis (2023)

radiologyraw dataoptimal transportneuroimagingmedical imagingmedical image analysisdifferent atlasesconnectomics

Optimal Learners for Realizable Regression: Pac Learning and Online Learning. arXiv (Cornell University) (2023)

Attias, IdanHanneke, SteveKalavasis, AlkisKarbasi, AminVelegkas, Grigoris

online learningpac learningrealizable regressionoptimal learnersmachine learning

Replicability in Reinforcement Learning. arXiv (Cornell University) (2023)

Karbasi, AminVelegkas, GrigorisYang, Lin F.Zhou, Felix

computer sciencemachine learningreplicationreinforcement learning

Replicable Clustering. arXiv (Cornell University) (2023)

Esfandiari, HosseinKarbasi, AminMirrokni, VahabVelegkas, GrigorisZhou, Felix

clusteringreplicable clusteringcomputer sciencemachine learning

1
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3
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5
13
10 / page

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Yisong Yue

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machine learning

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Alejandro Ribeiro

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swarm intelligence

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Tommi Jaakkola

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multidisciplinary ai

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numerical linear algebra

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