636 results on '"Marc Schoenauer"'
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2. NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design.
3. Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges.
4. ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).
5. Memetic Semantic Genetic Programming for Symbolic Regression.
6. Interactive Latent Diffusion Model.
7. An Analogy based Approach for Solving Target Sense Verification.
8. Multi-objective Genetic Programming for Explainable Reinforcement Learning.
9. Meta-Learning for Airflow Simulations with Graph Neural Networks.
10. Interpretable learning of effective dynamics for multiscale systems.
11. An Implicit GNN Solver for Poisson-like problems.
12. MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front.
13. Multi-resolution Graph Neural Networks for PDE Approximation.
14. Zoetrope genetic programming for regression.
15. Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo.
16. Learning meta-features for AutoML.
17. CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators.
18. DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations).
19. Continuous Methods : Adaptively intrusive reduced order model closure.
20. Continuous Methods : Hamiltonian Domain Translation.
21. CD-ROM: Complementary Deep-Reduced Order Model.
22. Automated Machine Learning with Monte-Carlo Tree Search.
23. On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints.
24. Promoting semantic diversity in multi-objective genetic programming.
25. Optimizing coverage of simulated driving scenarios for the autonomous vehicle.
26. LEAP nets for system identification and application to power systems.
27. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
28. On Refining BERT Contextualized Embeddings using Semantic Lexicons.
29. Deep Statistical Solvers.
30. Tutorials at PPSN 2018.
31. Optimization of computational budget for power system risk assessment.
32. Bio-inspired approaches to anomaly and intrusion detection.
33. Anticipating contingengies in power grids using fast neural net screening.
34. DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification.
35. Frugal Machine Learning.
36. On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems.
37. ASAP.V2 and ASAP.V3: Sequential optimization of an Algorithm Selector and a Scheduler.
38. Per instance algorithm configuration of CMA-ES with limited budget.
39. Progressively adding objectives: a case study in anomaly detection.
40. Multi-Domain Adversarial Learning.
41. LEAP nets for power grid perturbations.
42. An artificial immune system for offline isolated handwritten arabic character recognition.
43. Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm.
44. Feature Based Algorithm Configuration: A Case Study with Differential Evolution.
45. On the Use of Semantics in Multi-objective Genetic Programming.
46. Surrogate Assisted Feature Computation for Continuous Problems.
47. Anti Imitation-Based Policy Learning.
48. Fast Power system security analysis with Guided Dropout.
49. CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators.
50. Automated Machine Learning with Monte-Carlo Tree Search (Extended Version).
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