DEEPK 2024 - International Workshop on Deep Learning and Kernel Machines - March 7-8, 2024, Leuven Belgium

[Johan Suykens]

DEEPK 2024
International Workshop on Deep Learning and Kernel Machines

March 7-8, 2024, Leuven, Arenberg Castle, Belgium
https://www.esat.kuleuven.be/stadius/E/DEEPK2024

- Main scope -

Major progress and impact has been achieved through deep learning architectures with many exciting applications such as by generative models and transformers. At the same time it triggers new questions on the fundamental possibilities and limitations of the models, with respect to representations, scalability, learning and generalization aspects. Through kernel-based methods often a deeper understanding and solid foundations have been obtained, complementary to the powerful and flexible deep learning architectures. Recent examples are understanding generalization of over-parameterized models in the double descent phenomenon and conceiving attention mechanisms in transformers as kernel machines. The aim of DEEPK 2024 is to provide a multi-disciplinary forum where researchers of different communities can meet, to find new synergies between deep learning and kernel machines, both at the level of theory and applications.

- Topics -

Topics include but are not limited to:

• Deep learning and generalization
• Double descent phenomenon and over-parameterized models
• Transformers and asymmetric kernels
• Attention mechanisms, kernel singular value decomposition
• Learning with asymmetric kernels
• Duality and deep learning
• Regularization schemes, normalization
• Neural tangent kernel
• Deep learning and Gaussian processes
• Transformers, support vector machines and least squares support vector machines
• Autoencoders, neural networks and kernel methods
• Kernel methods in GANs, variational autoencoders, diffusion models, Generative Flow Networks
• Generative kernel machines
• Deep Kernel PCA, deep kernel machines, deep eigenvalues, deep eigenvectors
• Restricted Boltzmann machines, Restricted kernel machines, deep learning, energy based models
• Disentanglement and explainability
• Tensors, kernels and deep learning
• Convolutional kernels
• Sparsity, robustness, low-rank representations, compression
• Nystrom method, Nystromformer
• Efficient training methods
• Lagrange duality, Fenchel duality, estimation in Hilbert spaces, reproducing kernel Hilbert spaces, vector-valued reproducing kernel Hilbert spaces, Krein spaces, Banach spaces, RKHS and C*-algebra
• Applications

- Invited Speakers -

• Mikhail Belkin (University of California San Diego)
  
• Volkan Cevher (EPFL)
  
• Florence d'Alche-Buc (Telecom Paris, Institut Polytechnique de Paris)
  
• Julien Mairal (INRIA)
  
• Massimiliano Pontil (IIT and University College London)
  
• Dingxuan Zhou (University of Sydney)
  

- Call for abstracts -

The DEEPK 2024 program will include oral and poster sessions. Interested participants are cordially invited to submit an extended abstract (max. 2 pages) for their contribution.  Please prepare your extended abstract submission in LaTeX, according to the provided stylefile and submit it in pdf format (max. 2 pages). Further extended abstract information will be given at https://www.esat.kuleuven.be/stadius/E/DEEPK2024/call_for_abstracts.php .

- Schedule -

• Deadline extended abstract submission:
  Feb 8, 2024
• Notification of acceptance and presentation format (oral/poster):
  Feb 22, 2024
• Deadline for registration:
  Feb 29, 2024
  
• International Workshop DEEPK 2024:
  March 7-8, 2024

- Organizing committee -

Johan Suykens (Chair), Alex Lambert, Panos Patrinos, Qinghua Tao, Francesco Tonin

- Other info -

Please consult the DEEPK 2024 website https://www.esat.kuleuven.be/stadius/E/DEEPK2024 for info on program, registration, location and venue. The event is co-sponsored by ERC Advanced Grant E-DUALITY and KU Leuven.

[Johan Suykens]

The DEEPK 2024 program will include oral and poster sessions. Interested participants are cordially invited to submit an extended abstract (max. 2 pages) for their contribution.  Please prepare your extended abstract submission in LaTeX, according to the provided stylefile and submit it in pdf format (max. 2 pages). Further extended abstract information is given at https://www.esat.kuleuven.be/stadius/E/DEEPK2024/call_for_abstracts.php .

[Johan Suykens]

• Deadline extended abstract submission:
  Feb 8, 2024 (deadline extended to Feb 15, 2024)

• Notification of acceptance and presentation format (oral/poster):
  Feb 22, 2024
• Deadline for registration:
  Feb 29, 2024
  
• International Workshop DEEPK 2024:
  March 7-8, 2024