David López-Paz

1. Better & Faster Large Language Models via Multi-token Prediction
   2024/04/30 by Fabian Gloeckle, Badr Youbi Idrissi, Gloeckle, Fabian +8 · 6 voices · 84 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling
2. Flow Matching Guide and Code
   2024/12/09 by Yaron Lipman, Marton Havasi, Lipman, Yaron +18 · 10 voices · 80 citations
   Decision Sciences · Computer Science · #Simulation Techniques and Applications #Software System Performance and Reliability
3. mixup: Beyond Empirical Risk Minimization
   2017/10/25 by Hongyi Zhang, Moustapha Cissé, Zhang, Hongyi +5 · 334 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Gradient Episodic Memory for Continual Learning
   2017/06/26 by David López-Paz, Lopez-Paz, David, Marc’Aurelio Ranzato +1 · 138 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
5. Invariant Risk Minimization
   2019/07/05 by Martín Arjovsky, Arjovsky, Martin, Léon Bottou +5 · 182 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Machine Learning and Algorithms
6. In Search of Lost Domain Generalization
   2020/07/02 by Ishaan Gulrajani, Gulrajani, Ishaan, David López-Paz +1 · 61 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
7. Revisiting Classifier Two-Sample Tests
   2016/10/20 by David López-Paz, Lopez-Paz, David, Maxime Oquab +1 · 23 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare
8. Simple data balancing achieves competitive worst-group-accuracy
   2021/10/27 by Badr Youbi Idrissi, Martín Arjovsky, Idrissi, Badr Youbi +5 · 9 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
9. Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
   2018/03/13 by Diviyan Kalainathan, Kalainathan, Diviyan, Olivier Goudet +7 · 9 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
10. Why does Throwing Away Data Improve Worst-Group Error?
    2022/05/23 by Kamalika Chaudhuri, Chaudhuri, Kamalika, Martín Arjovsky +4 · 4 citations
    Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Anomaly Detection Techniques and Applications
11. Causal Generative Neural Networks
    2017/11/24 by Olivier Goudet, Diviyan Kalainathan, Goudet, Olivier +9 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neural Networks and Applications #Topic Modeling
12. The Pitfalls of Memorization: When Memorization Hurts Generalization
    2024/12/10 by Reza Bayat, Mohammad Pezeshki, Bayat, Reza +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
13. No Regret Bound for Extreme Bandits
    2015/08/12 by Robert Nishihara, Nishihara, Robert, David López-Paz +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC) #Statistics Theory (math.ST)
14. Towards a Learning Theory of Cause-Effect Inference
    2015/02/09 by David López-Paz, Krikamol Muandet, Lopez-Paz, David +5 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Blind Source Separation Techniques
15. Learning about an exponential amount of conditional distributions
    2019/02/22 by Mohamed Ishmael Belghazi, Maxime Oquab, Belghazi, Mohamed Ishmael +5 · 1 citation
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis
16. Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling
    2025/09/01 by Sachin Goyal, David López-Paz, Goyal, Sachin +3 · 3 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling