Guyon, Isabelle
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1393 citations
#cs.CL #cs.AI
- Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
2021/04/20 by Ryan Turner, Turner, Ryan, David Eriksson +11 · 9 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
2018/03/13 by Diviyan Kalainathan, Kalainathan, Diviyan, Olivier Goudet +7 · 10 citations
Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
- Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
2024/06/13 by Eleni Triantafillou, Peter Kairouz, Triantafillou, Eleni +26 · 9 citations
Medicine · #Glioma Diagnosis and Treatment
- Causal Generative Neural Networks
2017/11/24 by Olivier Goudet, Diviyan Kalainathan, Goudet, Olivier +9 · 4 citations
Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neural Networks and Applications #Topic Modeling
- The Tracking Machine Learning challenge : Throughput phase
2021/05/03 by Sabrina Amrouche, L. Basara, Amrouche, Sabrina +36 · 3 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #Privacy-Preserving Technologies in Data
- Design and Analysis of the NIPS 2016 Review Process
2017/08/31 by Nihar B. Shah, Shah, Nihar B., Behzad Tabibian +7 · 2 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Digital Libraries (cs.DL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Social and Information Networks (cs.SI)
- First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
2018/04/21 by Julio C. S. Jacques Junior, Yağmur Güçlütürk, Junior, Julio C. S. Jacques +19 · 2 citations
Psychology · #Computer Vision and Pattern Recognition (cs.CV) #Evolutionary Psychology and Human Behavior #FOS: Computer and information sciences #Personality Disorders and Psychopathology #Personality Traits and Psychology
- Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
2023/07/28 by Egele, Romain, Guyon, Isabelle, Sun, Yixuan +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
2022/07/01 by Romain Égelé, Egele, Romain, Isabelle Guyon +5 · 2 citations
Computer Science · Decision Sciences · #Advanced Neural Network Applications #Advanced Bandit Algorithms Research #Machine Learning and Data Classification
- Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
2024/11/05 by Alexander Goldberg, Goldberg, Alexander, Ihsan Ullah +11 · 1 voice · 3 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Digital Libraries (cs.DL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Topic Modeling #cs.CL #cs.DL #cs.HC
- Introducing machine learning for power system operation support
2017/09/27 by Benjamin Donnot, Isabelle Guyon, Donnot, Benjamin +7 · 2 citations
Engineering · #Artificial Intelligence (cs.AI) #Electricity Theft Detection Techniques #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (stat.ML) #Power System Reliability and Maintenance
- DMLR: Data-centric Machine Learning Research -- Past, Present and Future
2023/11/21 by Oala, Luis, Maskey, Manil, Bat-Leah, Lilith +35 · 2 citations
#Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Parallel #Signal Processing (eess.SP) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
- FAIR Universe HiggsML Uncertainty Dataset and Competition
2024/10/03 by Benato, Lisa, W. Bhimji, P. Calafiura +44 · 4 citations
Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Research Data Management Practices #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
- AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification
2021/10/26 by Romain Égelé, Egele, Romain, Romit Maulik +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Unified Physical-Digital Attack Detection Challenge
2024/04/09 by Yuan, Haocheng, Liu, Ajian, Zheng, Junze +6 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
2020/12/14 by Yiding Jiang, Pierre Foret, Jiang, Yiding +17 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
2025/06/23 by Aristimunha, Bruno, Truong, Dung, Guetschel, Pierre +16 · 3 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering