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