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Stay up-to-date with the cutting-edge research by participating in our workshops, seminars, and conferences.
![[2024.12.11. YOUNG IL COLLOQUIUM] Chemical reaction networks: systematic design, limit cycles and spatio-temporal modelling](https://static.wixstatic.com/media/1e94b4_94236221eff74030a3e2650c492a3ff7~mv2.png/v1/fill/w_707,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/1e94b4_94236221eff74030a3e2650c492a3ff7~mv2.png)
![[2024.12.11. YOUNG IL COLLOQUIUM] Chemical reaction networks: systematic design, limit cycles and spatio-temporal modelling](https://static.wixstatic.com/media/1e94b4_94236221eff74030a3e2650c492a3ff7~mv2.png/v1/fill/w_1100,h_1556,fp_0.50_0.50,q_95,enc_avif,quality_auto/1e94b4_94236221eff74030a3e2650c492a3ff7~mv2.png)
![[2024.11.06. YOUNG IL COLLOQUIUM] Some applications of optimal transportation](https://static.wixstatic.com/media/e80eaa_3e4fb59ea92c4c8a8fadc5578fe6fefc~mv2.png/v1/fill/w_707,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_3e4fb59ea92c4c8a8fadc5578fe6fefc~mv2.png)
![[2024.11.06. YOUNG IL COLLOQUIUM] Some applications of optimal transportation](https://static.wixstatic.com/media/e80eaa_3e4fb59ea92c4c8a8fadc5578fe6fefc~mv2.png/v1/fill/w_1100,h_1556,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_3e4fb59ea92c4c8a8fadc5578fe6fefc~mv2.png)
![[2024.09.04. YOUNG IL COLLOQUIUM] Debiased calibration estimation using generalized entropy under selection bias](https://static.wixstatic.com/media/e80eaa_b9eec7409ce84d4f9ff176186e0633ae~mv2.png/v1/fill/w_707,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_b9eec7409ce84d4f9ff176186e0633ae~mv2.png)
![[2024.09.04. YOUNG IL COLLOQUIUM] Debiased calibration estimation using generalized entropy under selection bias](https://static.wixstatic.com/media/e80eaa_b9eec7409ce84d4f9ff176186e0633ae~mv2.png/v1/fill/w_1100,h_1556,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_b9eec7409ce84d4f9ff176186e0633ae~mv2.png)
![[2024.05.24. YOUNG IL COLLOQUIUM] Mean field theory in Inverse Problems: from Bayesian inference to overparameterization of networks](https://static.wixstatic.com/media/e80eaa_e9f37a7a61d646478dd2e76253f1f5f0~mv2.png/v1/fill/w_707,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_e9f37a7a61d646478dd2e76253f1f5f0~mv2.png)
![[2024.05.24. YOUNG IL COLLOQUIUM] Mean field theory in Inverse Problems: from Bayesian inference to overparameterization of networks](https://static.wixstatic.com/media/e80eaa_e9f37a7a61d646478dd2e76253f1f5f0~mv2.png/v1/fill/w_1100,h_1556,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_e9f37a7a61d646478dd2e76253f1f5f0~mv2.png)
![[2024.05.01 YOUNG IL COLLOQUIUM] Posterior concentration rates of Bayesian deep neural networks](https://static.wixstatic.com/media/e80eaa_5439430953304a4aac98093e89d02885~mv2.png/v1/fill/w_707,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_5439430953304a4aac98093e89d02885~mv2.png)
![[2024.05.01 YOUNG IL COLLOQUIUM] Posterior concentration rates of Bayesian deep neural networks](https://static.wixstatic.com/media/e80eaa_5439430953304a4aac98093e89d02885~mv2.png/v1/fill/w_1100,h_1556,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_5439430953304a4aac98093e89d02885~mv2.png)