Research
Research is a major part in the Machine Learning field. With multiple publications each year, we are standing within the best.
2022
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
IEEE Transactions on Image Processing. 2022-01-08. Vol. 31, p. 1-13. DOI : 10.1109/TIP.2022.3143006.Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
2022. 39th International Conference on Machine Learning (ICML 2022), Baltimore, Maryland, USA, July 17-23, 2022.High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.The spectral bias of polynomial neural networks
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
2022. 10th International Conference on Learning Representations (ICLR 2022), Virtual, April 25-29, 2022.2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 6-14, 2021.Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
2021-12-06. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, December 6-14, 2021.What can linearized neural networks actually say about generalization?
2021-12-06. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, December 6-14, 2021.Machine Learning Uncovers Aerosol Size Information From Chemistry and Meteorology to Quantify Potential Cloud-Forming Particles
Geophysical Research Letters. 2021-11-16. Vol. 48, num. 21, p. e2021GL094133. DOI : 10.1029/2021GL094133.GARFIELD: System Support for Byzantine Machine Learning (Regular Paper)
2021-06-21. 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Taipei, Taiwan, June 21-24, 2021. p. 39-51. DOI : 10.1109/DSN48987.2021.00021.Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
2021. 38 th International Conference on Machine Learning (ICML 2021), Virtual, July 18-24, 2021. p. 9722-9732.Fitting summary statistics of neural data with a differentiable spiking network simulator
35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 6-14, 2021.Mixed Nash Equilibria in the Adversarial Examples Game
2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 7677-7687 .A Plug-and-Play Deep Image Prior
2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities
2021. NeurIPS 2021 : Thirty-fifth Conference on Neural Information Processing Systems, Sydney, Australia [Virtual only], December 6-14, 2021.Convergence of adaptive algorithms for constrained weakly convex optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.A first-order primal-dual method with adaptivity to local smoothness
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Subquadratic Overparameterization for Shallow Neural Networks
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
2021-01-01. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
2021. 24th International Conference on Artificial Intelligence and Statistics (AISTATS), Virtual, April 13-15, 2021.Lifelong Machine Learning with Data Efficiency and Knowledge Retention
Lausanne, EPFL, 2021.The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 4337-4348.2020
FeGAN: Scaling Distributed GANs
2020-12-10. 21st International Middleware Conference, Delft, Netherlands, December 7-11, 2020. p. 193-206. DOI : 10.1145/3423211.3425688.Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-11-05
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
2020-09-29. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.Genuinely Distributed Byzantine Machine Learning
2020-08-03. The ACM Symposium on Principles of Distributed Computing (PODC), Salerno, Italy, August 3–7, 2020. DOI : 10.1145/3382734.3405695.CUMULATOR — a tool to quantify and report the carbon footprint of machine learning computations and communication in academia and healthcare
2020-06-19.Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020-04-26. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.Collaborative Sampling in Generative Adversarial Networks
2020-02-11. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, February 7-12, 2020. p. 4948-4956. DOI : 10.1609/aaai.v34i04.5933.On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
2020. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, December 6-12, 2020.A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
2020. 24th International Conference on Artificial Intelligence and Statistics (AISTATS), Virtual, April 13-15, 2021.Practical Low-Rank Communication Compression in Decentralized Deep Learning
2020. NeurIPS 2020 – Advances in Neural Information Processing Systems, Virtual, December 6-12, 2020.Ensemble Distillation for Robust Model Fusion in Federated Learning
2020. NeurIPS 2020 – Advances in Neural Information Processing Systems, Virtual, April 13-15, 2021.Model Fusion via Optimal Transport
2020. NeurIPS 2020 – Advances in Neural Information Processing Systems, Virtual, April 13-15, 2021.Extrapolation for Large-batch Training in Deep Learning
2020. ICML 2020 37th International Conference on Machine Learning, Virtual, July 13-18, 2020.A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
2020. 37th International Conference on Machine Learning (ICML 2020), Virtual, July 13-18, 2020.Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders
2020. 17th International Conference on Natural Language Processing, 1-7 December 2020.BertAA: BERT fine-tuning for Authorship Attribution
2020. 17th International Conference on Natural Language Processing, 1-7 December 2020.Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
2020
//www.idiap.ch/en/dataset/frgc-morphs.UCLID-Net: Single View Reconstruction in Object Space
2020. 34th Conference on Neural Information Processing Systems, Virtual, December 6-12, 2020.Neural Anisotropy Directions
2020. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.Hold me tight! Influence of discriminative features on deep network boundaries
2020. Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), [Virtual only], December 6-12, 2020.Conditional gradient methods for stochastically constrained convex minimization
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), Virtual, July 13-18, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 13-18, 2020.Adaptive Gradient Descent without Descent
2020. 37th International Conference on Machine Learning (ICML 2020), Virtual, July 12-18, 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.What graph neural networks cannot learn: depth vs width
2020. International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.On the Relationship between Self-Attention and Convolutional Layers
2020. Eighth International Conference on Learning Representations – ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020.Domain-Adaptive Multibranch Networks
2020. International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2020. Vol. 12, p. 451–491. DOI : 10.1007/s12532-019-00173-3.Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
2020-01-01. 35th Uncertainty in Artificial Intelligence (UAI) Conference, Tel Aviv, ISRAEL, Jul 22-25, 2019. p. 18-27.2019
Extrapolating Paths with Graph Neural Networks
2019-08-10. International Joint Conference on Artificial Intelligence, Macao, China, August 10-16, 2019.Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
2019-06-09. ICML 2019 – International Conference on Machine Learning, Long Beach, California, USA, 9-15 June 2019.Memory Efficient Max Flow for Multi-Label Submodular MRFs
IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2019-04-01. Vol. 41, num. 4, p. 886-900. DOI : 10.1109/TPAMI.2018.2819675.AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation
2019-04-01. The Conference on Systems and Machine Learning (SysML), 2019, Stanford, CA, USA, March 31 – April 2, 2019 .Decentralized deep learning with arbitrary communication compression
2019. ICLR 2020 8th International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.Don’t Use Large Mini-Batches, Use Local SGD
2019. ICLR 2020 8th International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.On the convergence of stochastic primal-dual hybrid gradient
2019