Badeau, Roland
- Generalized Sliced Wasserstein Distances
2019/02/01 by Soheil Kolouri, Kimia Nadjahi, Kolouri, Soheil +7 · 37 citations
Computer Science · Engineering · #Advanced Numerical Analysis Techniques #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Fast Approximation of the Sliced-Wasserstein Distance Using\n Concentration of Random Projections
2021/06/29 by Kimia Nadjahi, Alain Durmus, Nadjahi, Kimia +7 · 9 citations
Mathematics · #Geometric Analysis and Curvature Flows
- Unsupervised Music Source Separation Using Differentiable Parametric Source Models
2022/01/24 by Kilian Schulze-Forster, Schulze-Forster, Kilian, Gaël Richard +6 · 5 citations
Computer Science · Engineering · #Acoustic Wave Phenomena Research #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
- Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
2019/06/11 by Kimia Nadjahi, Alain Durmus, Nadjahi, Kimia +5 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques
- Stochastic Quasi-Newton Langevin Monte Carlo
2016/02/10 by Şimşekli, Umut, Badeau, Roland, Cemgil, A. Taylan +1 · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Approximate Bayesian Computation with the Sliced-Wasserstein Distance
2019/10/28 by Nadjahi, Kimia, De Bortoli, Valentin, Durmus, Alain +2 · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)