Statlearn - Sciencesconf.org

Week Mon. 31 Tue. 01 Wed. 02 Thu. 03 Fri. 04 List

	Mon. 31	Tue. 01	Wed. 02	Thu. 03	Fri. 04
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00	Registration 8:15 - 9:00 (45min) Registration Opening remarks Registration from 8:15 Welcome 9:00 - 9:15 (15min) Welcome Pierre-Alexandre Mattei LECTURE on Generative Modeling : Introduction to generative modeling 9:15 - 10:30 (1h15) LECTURE on Generative Modeling : Introduction to generative modeling Pierre-Alexandre Mattei Coffee break 10:30 - 11:00 (30min) Coffee break LECTURE on Generative Modeling : From Mixture Models to Probabilistic circuits 11:00 - 12:00 (1h) LECTURE on Generative Modeling : From Mixture Models to Probabilistic circuits Jakub Tomczak Lunch 12:00 - 13:30 (1h30) Lunch LECTURE on Generative Modeling : Probabilistic PCA 13:30 - 15:00 (1h30) LECTURE on Generative Modeling : Probabilistic PCA Pierre-Alexandre Mattei Coffee break 15:00 - 15:30 (30min) Coffee break LECTURE on Generative Modeling : Deep latent variable models 15:30 - 17:00 (1h30) LECTURE on Generative Modeling : Deep latent variable models Jes Frellsen HANDS-ON on Generative Modeling : VAE 17:15 - 18:30 (1h15) HANDS-ON on Generative Modeling : VAE	LECTURE on Generative Modeling : Autoregressive models (Introduction) 9:30 - 10:30 (1h) LECTURE on Generative Modeling : Autoregressive models (Introduction) Jakub Tomczak Coffee break 10:30 - 11:00 (30min) Coffee break LECTURE on Generative Modeling : Autoregressive models (Transformers) 11:00 - 12:00 (1h) LECTURE on Generative Modeling : Autoregressive models (Transformers) Jakub Tomczak Lunch 12:00 - 13:30 (1h30) Lunch LECTURE on Generative Modeling : Flow-based models 13:30 - 15:00 (1h30) LECTURE on Generative Modeling : Flow-based models Jes Frellsen Coffee break 15:00 - 15:30 (30min) Coffee break LECTURE on Generative Modeling : Flow-based models in VAEs 15:30 - 16:30 (1h) LECTURE on Generative Modeling : Flow-based models in VAEs Jes Frellsen HANDS-ON on Generative Modeling : ARM/Flows 17:00 - 18:30 (1h30) HANDS-ON on Generative Modeling : ARM/Flows	LECTURE on Generative Modeling : From LLMs to GenAISys 9:30 - 10:30 (1h) LECTURE on Generative Modeling : From LLMs to GenAISys Jakub Tomczak Coffee break 10:30 - 11:00 (30min) Coffee break LECTURE on Generative Modeling : Energy-based models 11:00 - 12:00 (1h) LECTURE on Generative Modeling : Energy-based models Jes Frellsen Lunch 12:00 - 13:30 (1h30) Lunch LECTURE on Generative Modeling : Diffusion-based generative models 13:30 - 15:00 (1h30) LECTURE on Generative Modeling : Diffusion-based generative models Jakub Tomczak Coffee break 15:00 - 15:30 (30min) Coffee break LECTURE on Generative Modeling : Generative Adversarial Networks 15:30 - 16:30 (1h) LECTURE on Generative Modeling : Generative Adversarial Networks Pierre-Alexandre Mattei POSTER session and cocktail 17:00 - 19:00 (2h) POSTER session and cocktail	Registration 8:30 - 8:45 (15min) Registration Registration Welcome 8:45 - 9:00 (15min) Welcome Statlearn INVITED CONFERENCE : Gilles LOUPPE (Inverting Scientific Images With Score-Based Generative Models) 9:00 - 10:30 (1h30) Statlearn INVITED CONFERENCE : Gilles LOUPPE (Inverting Scientific Images With Score-Based Generative Models) Jakub Tomczak Coffee break 10:30 - 11:00 (30min) Coffee break Statlearn INVITED CONFERENCE : Yingzhen Li (Sequential Latent Variable Models) 11:00 - 12:30 (1h30) Statlearn INVITED CONFERENCE : Yingzhen Li (Sequential Latent Variable Models) Jakub Tomczak Lunch 12:30 - 14:00 (1h30) Lunch Statlearn INVITED CONFERENCE : Frederic Precioso (Biases in LLM) 14:00 - 14:45 (45min) Statlearn INVITED CONFERENCE : Frederic Precioso (Biases in LLM) Chloé Friguet Break 14:45 - 15:00 (15min) Break Statlearn INVITED CONFERENCE : Aude Sportisse (Generative Methods for Missing Data: From PCA to Deep Learning) 15:00 - 16:30 (1h30) Statlearn INVITED CONFERENCE : Aude Sportisse (Generative Methods for Missing Data: From PCA to Deep Learning) Jes Frellsen Coffee break 16:30 - 16:45 (15min) Coffee break Statlearn INVITED CONFERENCE : Benjamin Billot (Bridging generative models and Neural Networks for domain-agnostic segmentation of brain MRI) 16:45 - 17:30 (45min) Statlearn INVITED CONFERENCE : Benjamin Billot (Bridging generative models and Neural Networks for domain-agnostic segmentation of brain MRI) Chloé Friguet Banquet dinner 19:00 - 21:00 (2h) Banquet dinner	Statlearn INVITED CONFERENCE : Johannes Brandstetter (Latent space (generative) models in recent scientific breakthroughs) 9:00 - 10:30 (1h30) Statlearn INVITED CONFERENCE : Johannes Brandstetter (Latent space (generative) models in recent scientific breakthroughs) Irene Balleli Coffee break 10:30 - 11:00 (30min) Coffee break Statlearn INVITED CONFERENCE : Anna Korba (Implicit Diffusion: Efficient Optimization through Stochastic Sampling) 11:00 - 12:30 (1h30) Statlearn INVITED CONFERENCE : Anna Korba (Implicit Diffusion: Efficient Optimization through Stochastic Sampling) Irene Balleli Lunch 12:30 - 14:00 (1h30) Lunch Statlearn INVITED CONFERENCE : Antonio Vergari (Subtractive Mixture Models: Representation, Learning and Inference) 14:00 - 15:30 (1h30) Statlearn INVITED CONFERENCE : Antonio Vergari (Subtractive Mixture Models: Representation, Learning and Inference) Pierre-Alexandre Mattei Closing 15:30 - 16:30 (1h) Closing Pierre-Alexandre Mattei