Bayesian Parameter Balancing for Robust and Calibrated Kinetic Modelling in Systems Biology
July 2026
29Presentations given
14Invited talks and seminars
7Countries: Australia, Chile, France, Italy, Japan, United Kingdom, Vietnam
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At a glance
Talks span mathematical statistics (mixture of experts, model selection, Bayesian nonparametrics) and AI for science (efficient transformers, systems biology, likelihood-free inference).
Presentations
2026 4 presentations
Oral presentation
Scalable and Trustworthy AI Frameworks for Advanced Breeding, Genomics, Multi-Omics, and Systems Biology
July 2026
Bayesian Parameter Balancing Enables Robust and Consistent Estimation of Kinetic Parameter Uncertainty
May 2026
Towards Mathematical Foundations for Trustworthy and Scalable AI and Data Science through Multimodality and Sparsity in Bayesian and Frequentist Perspectives
February 2026
2025 5 presentations
Mathematical Foundations of AI and Data Science for Trustworthy Systems: Leveraging Multimodality and Sparsity
December 2025
Towards Understanding Parameter Estimation and Bayesian Model Selection in Gaussian Mixture of Experts Models
December 2025
Mathematical Foundations of AI and Data Science for Trustworthy Systems: Leveraging Multimodality and Sparsity
September 2025
Revisiting Parameter Estimation and Model Selection in Gaussian Mixture of Experts Models
August 2025
Accelerating Transformers with Spectrum-Preserving Token Merging
February 2025
2024 5 presentations
Bayesian Likelihood Free Inference Using Mixtures of Experts
July 2024
Towards Understanding Mixture of Experts
July 2024
Demystifying Softmax Gating Function in Gaussian Mixture of Experts
June 2024
Demystifying parameter estimation in mixtures of experts
May 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
May 2024
2023 4 presentations
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors
August 2023
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors
August 2023
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors
July 2023
A non-asymptotic-capproach for model selection via penalization in high-dimensional mixture of experts models
April 2023
Abstract (PDF)2022 7 presentations
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
December 2022
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
November 2022
Bayesian nonparametric mixture of experts for high-dimensional inverse problems
October 2022
Model selection by penalization in mixture of experts models with a non-asymptotic approach
June 2022
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
May 2022
A non-asymptotic approach for model selection via penalization in mixture of experts models
April 2022
A non-asymptotic model selection in mixture of experts models
March 2022
2021 4 presentations
Model Selection and Approximation in High-dimensional mixture of experts Models: From Theory to Practice
October 2021
Approximation and non-asymptotic model selection in mixture of experts models
September 2021
Non-asymptotic model selection in mixture of polynomial experts models
June 2021
Non-asymptotic model selection for the Gaussian-gated localized mixture of experts regression models
April 2021
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