Our events bring together mathematicians and Machine Learning researchers from around the world to share insights, exchange ideas, and spark new collaborations.
Stay up-to-date with the cutting-edge research by participating in our workshops, seminars, and conferences.
![[2024.05.23 CM2LA SEMINAR] Analysis of dynamical systems using “easier” representations](https://static.wixstatic.com/media/e80eaa_48435b95a50e4d85a33c09fd97050d58~mv2.png/v1/fill/w_708,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_48435b95a50e4d85a33c09fd97050d58~mv2.png)
![[2024.05.23 CM2LA SEMINAR] Analysis of dynamical systems using “easier” representations](https://static.wixstatic.com/media/e80eaa_48435b95a50e4d85a33c09fd97050d58~mv2.png/v1/fill/w_1200,h_1696,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_48435b95a50e4d85a33c09fd97050d58~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_708,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_1200,h_1696,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_e9f37a7a61d646478dd2e76253f1f5f0~mv2.png)
![[2024.05.20 CM2LA SEMINAR] Mathematical methods for identifying human influences on weather and climate extremes](https://static.wixstatic.com/media/e80eaa_24b9e9371ccb45058ce587113995d91d~mv2.png/v1/fill/w_708,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_24b9e9371ccb45058ce587113995d91d~mv2.png)
![[2024.05.20 CM2LA SEMINAR] Mathematical methods for identifying human influences on weather and climate extremes](https://static.wixstatic.com/media/e80eaa_24b9e9371ccb45058ce587113995d91d~mv2.png/v1/fill/w_1200,h_1696,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_24b9e9371ccb45058ce587113995d91d~mv2.png)
![[2024.05.16 CM2LA Geometric Analysis Seminar] Thom's gradient conjecture for geometric PDEs](https://static.wixstatic.com/media/e80eaa_a7e1316c03e1416d92651bb7e5fc1cf0~mv2.png/v1/fill/w_708,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_a7e1316c03e1416d92651bb7e5fc1cf0~mv2.png)
![[2024.05.16 CM2LA Geometric Analysis Seminar] Thom's gradient conjecture for geometric PDEs](https://static.wixstatic.com/media/e80eaa_a7e1316c03e1416d92651bb7e5fc1cf0~mv2.png/v1/fill/w_1200,h_1696,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_a7e1316c03e1416d92651bb7e5fc1cf0~mv2.png)
![[2024.05.16 CM2LA Stochastic Analysis Seminar] Convergence of the KPZ equation](https://static.wixstatic.com/media/e80eaa_93b1137739d24bd5b33520aed6b686dc~mv2.png/v1/fill/w_708,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_93b1137739d24bd5b33520aed6b686dc~mv2.png)
![[2024.05.16 CM2LA Stochastic Analysis Seminar] Convergence of the KPZ equation](https://static.wixstatic.com/media/e80eaa_93b1137739d24bd5b33520aed6b686dc~mv2.png/v1/fill/w_1200,h_1696,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_93b1137739d24bd5b33520aed6b686dc~mv2.png)
![[2024.05.14 SEMINAR] Estimating a metabolic parameter during continuous glucose monitoring](https://static.wixstatic.com/media/e80eaa_b291486fb2144059b0f39cbfa19542c8~mv2.png/v1/fill/w_708,h_1000,fp_0.50_0.50,q_35,blur_30,enc_avif,quality_auto/e80eaa_b291486fb2144059b0f39cbfa19542c8~mv2.png)
![[2024.05.14 SEMINAR] Estimating a metabolic parameter during continuous glucose monitoring](https://static.wixstatic.com/media/e80eaa_b291486fb2144059b0f39cbfa19542c8~mv2.png/v1/fill/w_1200,h_1696,fp_0.50_0.50,q_95,enc_avif,quality_auto/e80eaa_b291486fb2144059b0f39cbfa19542c8~mv2.png)