Organizer: fragkiskos.malliaros at centralesupelec.fr
Topic: Riemannian geometry for statistical estimation and learning: applications to remote sensing and M/EEG data analysis
Topic: Mixture of multi-modal hierarchical variational auto-encoders for unified image synthesis
Topic: Good editorial practices
Topic: Interns seminar
Topic: Signal processing approaches for non-intrusive load monitoring
Topic: Implicit differentiation in non-smooth convex learning
Topic: Outer approximation algorithm for projecting over a non convex set described by weakly convex constraints
Topic: Random coordinate descent methods for nonseparable composite optimization
Topic: Transduction for adaptation: a path towards efficient reuse of foundation models
Topic: Implicit nonsmooth auto-differentiation
Topic: Using neural networks to build more realistic simulation schemes for causal analysis
Topic: Graph-based algorithms in computer vision, machine learning, and signal processing
Topic: Unrolled Variational Bayesian Algorithm for image blind deconvolution
Topic: Adversarial attacks. An optimization perspective
Topic: Interns seminar
Topic: Time-varying optimization for information stream
Topic: Bilevel optimization of hyperparameters: Application to structure discovery
Topic: Geometric data analysis, beyond convolutions
Topic: Learning structures from high-dimensional data
Topic: Welcome seminar of new PhD students (2)
Topic: Welcome seminar of new PhD students (1)
Topic: Dictionary learning-based regularization for cardiac motion estimation
Topic: Second-order methods for the solution of large-scale machine learning problems
Topic: Earth Mover's distance metric learning & non-convex quadratic programming
Topic: Hierarchical graph clustering: Objectives and algorithms
Topic: Efficient processing of top-k dominating queries
Topic: Deep Dictionary Learning – A new framework for representation learning
Topic: Differentiating radiation necrosis from tumor progression in brain metastases after radiation therapy
Topic: The effect of constraints on learning neura networks
Topic: Neural network based Image compression
Topic: Computational 3D spine imaging: From disease prognosis to surgical guidance
Topic: Some aspects of duality in convex optimization
Topic: Supervised transform learning
Topic: Deep dictionary learning
Topic: Iterative regularization for general inverse problems