On January 12th, 2024, Seokjoo Chae gave a talk on “AI Feynman: A physics-inspired method for symbolic regression”
Seokjoo Chae gave a talk on “AI Feynman: A physics-inspired method for symbolic regression” at the BIMAG journal club
Hyeontae Jo gave a talk on “Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery” at the BIMAG journal club
On January 05th, 2024, Hyeontae Jo gave a talk on “Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery”
Hyun Kim gave a talk on “MultiVI: deep generative model for the integration of multimodal data” at the BIMAG journal club
On December 29th, 2023, Hyun Kim gave a talk on “MultiVI: deep generative model for the integration of multimodal data”
Yun Min Song gave a talk on “Pulsed stimuli entrain p53 to synchronize single cells and modulate cell-fate determination” at the BIMAG journal club
On December 15th, 2023, Yun Min Song gave a talk on “Pulsed stimuli entrain p53 to synchronize single cells and modulate cell-fate determination”
Olive Cawiding gave a talk on “Time delays modulate the stability of complex ecosystems” at the BIMAG journal club
On December 8th, 2023, Olive Cawiding gave a talk on “Time delays modulate the stability of complex ecosystems”
Eui Min Jung gave a talk on “Hard Limits and Performance Tradeoffs in a Class of Antithetic Integral Feedback Networks” at the BIMAG journal club
On December 1st, 2023, Eui Min Jung gave a talk on “Hard Limits and Performance Tradeoffs in a Class of Antithetic Integral Feedback Networks”
Dongju Lim gave a talk on “An accurate probabilistic step finder for time-series analysis” at the BIMAG journal club
On November 24th, 2023, Dongju Lim gave a talk on “An accurate probabilistic step finder for time-series analysis”
Seokjoo Chae gave a talk on “Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning” at the BIMAG journal club
On November 10th, 2023, Seokjoo Chae gave a talk on “Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning”
Hyun Kim gave a talk on “Significance analysis for clustering with single-cell RNA-sequencing data” at the BIMAG journal club
On October 27th, 2023, Hyun Kim gave a talk on “Significance analysis for clustering with single-cell RNA-sequencing data”
Hyeontae Jo gave a talk on “AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records” at the BIMAG journal club
On October 20th, 2023, Hyeontae Jo gave a talk on “AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records”