ACDL 2024 Program: ACDL-2024-Program-Ver03
Arrival: June 9
9:00 - 9:50
Lecture "Artificial Intelligence: Where We Are, Where We Are Going?"
Joseph Sifakis 
9:50 - 10:40
Lecture 1. "Introduction to Natural Language Processing (NLP) up to LLMs and associated challenges" 1/4
Maria Liakata 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 1. "Machine Learning for Modeling and Control of Complex Systems" 1/2
Petros Koumoutsakos 
12:10 - 13:00
Lecture 1. "Large Language Model Evaluation" 1/4
Nora Kassner 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 2. "Machine Learning for Modeling and Control of Complex Systems" 2/2
Petros Koumoutsakos
15:50 - 16:40
Lecture 2. "Identifying changes in longitudinal user generated content (I)- (recurrence and path signatures)" 2/4
Maria Liakata
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 3. "Identifying changes in longitudinal user generated content (II)-(transformer based methods)" 3/4
Maria Liakata
18:10 - 19:00
Lecture 1. "Introduction to Foundation Models" 1/5
Sven Giesselbach 
19:00 - 19:50
Lecture 1. "Multimodal Foundation Models" 1/4
Gabriel Barth-Maron 
20:00 -
Dinner
9:00 - 9:50
Lecture 4. "Timeline extraction, Timeline summarisation and demo on identifying longitudinal changes" 4/4
Maria Liakata
9:50 - 10:40
Lecture 1. "Sequence Models 1" 1/4
Ramin Hasani 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 2. "Knowledge and Reasoning in Large Language Models" 2/4
Nora Kassner
12:10 - 13:00
Lecture 2. "Sequence Models 2" 2/4
Ramin Hasani
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1. "Cluster-detection Methods in Network-based Data Analysis" 1/2
Sergiy Butenko 
15:50 - 20:00
Free time
20:00 -
Dinner
21:30 -
Poster Session 1
9:00 - 9:50
Lecture 3. "Solving forward and inverse problems with and without neural networks"
Petros Koumoutsakos
9:50 - 10:40
Lecture "Twin Support Vector Machines: Advances and Applications"
Panos Pardalos 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture "Challenges, approaches, needs and points of view for industry grade AI"
Raniero Romagnoli 
12:10 - 13:00
Lecture 3. "Retrieval-augmented Language Models" 3/4
Nora Kassner
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3. "Sequence Models 3: Liquid Neural Networks" 3/4
Ramin Hasani
15:50 - 16:40
Lecture 4. "Bayesian Uncertainty Quantification"
Petros Koumoutsakos
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 2. "Continuous Approaches to Cluster-Detection Problems in Networks " 2/2
Sergiy Butenko
18:10 - 19:00
Lecture 2. "Multimodal Foundation Models" 2/4
Gabriel Barth-Maron
19:00 - 19:50
Lecture 2. "Large Language Models" 2/5
Sven Giesselbach
20:00 -
Dinner
9:00 - 9:50
Lecture 1. "Fusing Machine Learning and Optimization for Engineering" 1/3
Pascal Van Hentenryck 
9:50 - 10:40
Lecture 4. "Sequence Models 4: Liquid Neural Networks" 4/4
Ramin Hasani
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3. "Efficient Language Models" 3/5
Sven Giesselbach
12:10 - 13:00
Lecture 4. "Tool-use in Language Models " 4/4
Nora Kassner
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3. "Multimodal Foundation Models" 3/4
Gabriel Barth-Maron
15:50 - 20:00
Free time
20:00 -
Dinner
21:30 -
Poster Session 2
9:00 - 9:50
Lecture 4. "Multimodal Foundation Models" 4/4
Gabriel Barth-Maron
9:50 - 10:40
Lecture 2. "Fusing Machine Learning and Optimization for Engineering" 2/3
Pascal Van Hentenryck
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 1. "Diffusion Models" 1/3
Chin-Wei Huang 
12:10 - 13:00
Lecture 3. "Fusing Machine Learning and Optimization for Engineering" 3/3
Pascal Van Hentenryck
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture "Generalized Belief Propagation Algorithms for Tensor Network Contractions"
Max Welling 
15:50 - 16:40
Lecture 4. "Foundation-Model Agents" 4/5
Sven Giesselbach
16:40 - 17:20
Lecture 5. "Executing Data Science Projects with Foundation Models" 5/5
Sven Giesselbach
17:20 - 18:10
Lecture 2. "Diffusion Models" 2/3
Chin-Wei Huang
18:10 - 19:00
Lecture 3. "Diffusion Models" 3/3
Chin-Wei Huang
19:00 - 20:00
Free time
20:00 -
Social Dinner
Departure: June 15
