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Lucchi, Aurelien

  1. Stabilizing Training of Generative Adversarial Networks through Regularization
    2017/05/25 by Kevin Roth, Kevin A. Roth, Aurélien Lucchi +7 · 1 voice · 14 citations
    Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #cs.LG #stat.ML
  2. Neural Symbolic Regression that Scales
    2021/06/11 by Luca Biggio, Tommaso Bendinelli, Biggio, Luca +7 · 29 citations
    Computer Science · Physics and Astronomy · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  3. Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
    2022/06/07 by Lorenzo Noci, Sotiris Anagnostidis, Noci, Lorenzo +9 · 26 citations
    Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Neural Networks and Reservoir Computing
  4. Escaping Saddles with Stochastic Gradients
    2018/03/15 by Hadi Daneshmand, Daneshmand, Hadi, Jonas Köhler +5 · 15 citations
    Computer Science · Mathematics · Engineering · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques
  5. Sub-sampled Cubic Regularization for Non-convex Optimization
    2017/05/16 by Kohler, Jonas Moritz, Lucchi, Aurelien · 9 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  6. Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
    2021/12/10 by Junchi Yang, Antonio Orvieto, Yang, Junchi +5 · 11 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  7. A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
    2019/10/23 by Foivos Alimisis, Antonio Orvieto, Alimisis, Foivos +5 · 7 citations
    Physics and Astronomy · Computer Science · Mathematics · #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #Mathematical Biology Tumor Growth
  8. Exponential convergence rates for Batch Normalization: The power of\n length-direction decoupling in non-convex optimization
    2018/05/27 by Jonas Köhler, Kohler, Jonas, Hadi Daneshmand +9 · 11 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  9. Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
    2023/05/25 by Sotiris Anagnostidis, Dario Pavllo, Anagnostidis, Sotiris +8 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
  10. Radio frequency interference mitigation using deep convolutional neural networks
    2016/09/28 by Akeret, Joel, Chang, Chihway, Lucchi, Aurelien +1 · 3 citations
    #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM)
  11. Learning Generative Models of Textured 3D Meshes from Real-World Images
    2021/03/29 by Dario Pavllo, Jonas Köhler, Pavllo, Dario +5 · 4 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG)
  12. Convolutional Generation of Textured 3D Meshes
    2020/06/13 by Dario Pavllo, Pavllo, Dario, Graham Spinks +7 · 3 citations
    Engineering · Computer Science · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Advanced Numerical Analysis Techniques
  13. Anticorrelated Noise Injection for Improved Generalization
    2022/02/06 by Orvieto, Antonio, Kersting, Hans, Proske, Frank +2 · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  14. Cosmological model discrimination with Deep Learning
    2017/07/17 by Jorit Schmelzle, Schmelzle, Jorit, Aurélien Lucchi +11 · 4 citations
    Computer Science · Mathematics · Physics and Astronomy · #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Statistical and numerical algorithms
  15. An SDE for Modeling SAM: Theory and Insights
    2023/01/19 by Enea Monzio Compagnoni, Compagnoni, Enea Monzio, Luca Biggio +9 · 4 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  16. Local Saddle Point Optimization: A Curvature Exploitation Approach
    2018/05/15 by Adolphs, Leonard, Daneshmand, Hadi, Lucchi, Aurelien +1 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  17. Loss Landscape Characterization of Neural Networks without Over-Parametrization
    2024/10/16 by Rustem Islamov, Islamov, Rustem, Niccolò Ajroldi +6 · 1 voice · 4 citations
    Computer Science · #Neural Networks and Applications #cs.LG #math.OC #stat.ML
  18. Phenomenology of Double Descent in Finite-Width Neural Networks
    2022/03/14 by Sidak Pal Singh, Aurélien Lucchi, Singh, Sidak Pal +5 · 2 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Machine Learning and ELM
  19. Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
    2024/11/24 by Enea Monzio Compagnoni, Compagnoni, Enea Monzio, T. Liu +9 · 5 citations
    Decision Sciences · #Complex Systems and Decision Making #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Batch Normalization Provably Avoids Rank Collapse for Randomly Initialised Deep Networks
    2020/03/03 by Hadi Daneshmand, Jonas Köhler, Daneshmand, Hadi +7 · 4 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  21. Variance Reduced Stochastic Gradient Descent with Neighbors
    2015/06/11 by Hofmann, Thomas, Lucchi, Aurelien, Lacoste-Julien, Simon +1 · 1 citation
    #68T05 #90C06 #90C25 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  22. Probabilistic Bag-Of-Hyperlinks Model for Entity Linking
    2015/09/08 by Ganea, Octavian-Eugen, Ganea, Marina, Lucchi, Aurelien +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  23. A domain agnostic measure for monitoring and evaluating GANs
    2018/11/13 by Paulina Grnarova, Kfir Y. Levy, Grnarova, Paulina +11 · 2 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
  24. Semantic Interpolation in Implicit Models
    2017/10/31 by Yannic Kilcher, Kilcher, Yannic, Aurélien Lucchi +3 · 1 citation
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
    2024/02/02 by Tin Sum Cheng, Cheng, Tin Sum, Aurélien Lucchi +5 · 3 citations
    Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Grey System Theory Applications #Infrared Target Detection Methodologies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. Adaptive norms for deep learning with regularized Newton methods
    2019/05/22 by Kohler, Jonas, Adolphs, Leonard, Lucchi, Aurelien · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Cosmological N-body simulations: a challenge for scalable generative\n models
    2019/08/15 by Nathanaël Perraudin, Perraudin, Nathanaël, Ankit Srivastava +9 · 1 citation
    Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  28. A Semi-supervised Framework for Image Captioning
    2016/11/16 by Wenhu Chen, Chen, Wenhu, Aurélien Lucchi +3 · 2 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Video Analysis and Summarization
  29. Starting Small -- Learning with Adaptive Sample Sizes
    2016/03/09 by Hadi Daneshmand, Aurélien Lucchi, Daneshmand, Hadi +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  30. Continuous-time Models for Stochastic Optimization Algorithms
    2018/10/05 by Antonio Orvieto, Aurélien Lucchi, Orvieto, Antonio +1 · 1 citation
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  31. A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
    2023/10/02 by Cheng, Tin Sum, Lucchi, Aurelien, Dokmanić, Ivan +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. Mastering Spatial Graph Prediction of Road Networks
    2022/10/03 by Sotiris Anagnostidis, Aurélien Lucchi, Anagnostidis, Sotiris +3 · 1 citation
    Environmental Science · Engineering · #Wildlife-Road Interactions and Conservation #Traffic and Road Safety #Automated Road and Building Extraction
  33. A Comprehensive Analysis on the Learning Curve in Kernel Ridge\n Regression
    2024/10/23 by Tin Sum Cheng, Aurélien Lucchi, Cheng, Tin Sum +5 · 3 citations
    Engineering · #Advanced Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  34. Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
    2024/11/04 by Jim Zhao, Sidak Pal Singh, Zhao, Jim +3 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  35. Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
    2025/06/17 by Anastasis Kratsios, Tin Sum Cheng, Kratsios, Anastasis +5 · 2 citations
    Computer Science · Environmental Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Statistical Methods and Inference #Statistics Theory (math.ST)
  36. Optimization Guarantees for Square-Root Natural-Gradient Variational Inference
    2025/07/10 by Thomas Möllenhoff, Kumar, Navish, Möllenhoff, Thomas +4 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  37. Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy
    2025/02/17 by Rustem Islamov, Islamov, Rustem, Samuel Horváth +7 · 1 citation
    Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  38. Cubic regularized subspace Newton for non-convex optimization
    2024/06/24 by Jim Zhao, Zhao, Jim, Aurélien Lucchi +3 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques