Katiana Kontolati - Publications, H-index & Citations

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Katiana Kontolati

bayer crop science

9H-index

23Paper Count

388Citation Count

Published Papers 7

Publication Date

Biology-informed neural networks learn nonlinear representations from omics data to improve genomic prediction and biological discovery

Plant Journal

IF5.7

2026-08-12

OAAI

Katiana Kontolati; Rini Jasmine Gladstone; Ian W. Davis; Ethan M. Pickering

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Synergistic learning with multi-task DeepONet for efficient PDE problem solving

NEURAL NETWORKS

IF6.3

2025-04-01

PREAI

Kumar, Varun; Goswami, Somdatta; Kontolati, Katiana; Shields, Michael D.; Karniadakis, George Em

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Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems

NATURE COMMUNICATIONS

IF15.7

2024-06-14

OAAI

Kontolati, Katiana; Goswami, Somdatta; Karniadakis, George Em; Shields, Michael D.

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On the influence of over-parameterization in manifold based surrogates and deep neural operators

JOURNAL OF COMPUTATIONAL PHYSICS

IF3.8

2023-04-01

OAAI

Kontolati, Katiana; Goswami, Somdatta; Shields, Michael D.; Karniadakis, George Em

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Deep transfer operator learning for partial differential equations under conditional shift

NATURE MACHINE INTELLIGENCE

IF23.9

2022-12-01

PREAI

Goswami, Somdatta; Kontolati, Katiana; Shields, Michael D. D.; Karniadakis, George Em

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A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems

JOURNAL OF COMPUTATIONAL PHYSICS

IF3.8

2022-09-01

OAAI

Kontolati, Katiana; Loukrezis, Dimitrios; Giovanis, Dimitrios G.; Vandanapu, Lohit; Shields, Michael D.

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Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids

ACTA MATERIALIA

IF9.3

2021-08-01

OAAI

Kontolati, Katiana; Alix-Williams, Darius; Boffi, Nicholas M.; Falk, Michael L.; Rycroft, Chris H.; Shields, Michael D.

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Research Directions