Katiana Kontolati

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Biology-informed neural networks learn nonlinear representations from omics data to improve genomic prediction and interpretability. CoRR Katiana Kontolati, Rini Jasmine Gladstone, Ian Davis, Ethan Pickering
2025	J	`jnl`	Synergistic learning with multi-task DeepONet for efficient PDE problem solving. Neural Networks Varun Kumar, Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis
2024	J	`jnl`	Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving. CoRR Varun Kumar, Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis
2023	J	`jnl`	Learning in latent spaces improves the predictive accuracy of deep neural operators. CoRR Katiana Kontolati, Somdatta Goswami, George Em Karniadakis, Michael D. Shields
2023	J	`jnl`	On the influence of over-parameterization in manifold based surrogates and deep neural operators. J. Comput. Phys. Katiana Kontolati, Somdatta Goswami, Michael D. Shields, George Em Karniadakis
2023	J	`jnl`	UQpy v4.1: Uncertainty Quantification with Python. CoRR Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2023	J	`jnl`	UQpy v4.1: Uncertainty quantification with Python. SoftwareX Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2022	J	`jnl`	A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. CoRR Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
2022	J	`jnl`	A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. J. Comput. Phys. Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
2022	J	`jnl`	Deep transfer learning for partial differential equations under conditional shift with DeepONet. CoRR Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis
2022	J	`jnl`	Deep transfer operator learning for partial differential equations under conditional shift. Nat. Mac. Intell. Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis
2022	J	`jnl`	On the influence of over-parameterization in manifold based surrogates and deep neural operators. CoRR Katiana Kontolati, Somdatta Goswami, Michael D. Shields, George Em Karniadakis
2021	J	`jnl`	Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models. CoRR Katiana Kontolati, Dimitrios Loukrezis, Ketson R. M. dos Santos, Dimitrios G. Giovanis, Michael D. Shields
2021	J	`jnl`	Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra. CoRR Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen