Balduzzi, David

1. Domain Generalization via Invariant Feature Representation
   2013/01/10 by Krikamol Muandet, David Balduzzi, Muandet, Krikamol +2 · 64 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research #Machine Learning and ELM
2. Open-ended Learning in Symmetric Zero-sum Games
   2019/01/23 by David Balduzzi, Marta Garnelo, Balduzzi, David +11 · 1 voice · 5 citations
   Computer Science · Mathematics · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #cs.GT #cs.LG #cs.MA #stat.ML
3. Domain Generalization for Object Recognition with Multi-task Autoencoders
   2015/08/31 by Ghifary, Muhammad, Kleijn, W. Bastiaan, Zhang, Mengjie +1 · 7 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
   2020/02/19 by Perolat, Julien, Munos, Remi, Lespiau, Jean-Baptiste +10 · 8 citations
   #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
   2016/07/12 by Muhammad Ghifary, W. Bastiaan Kleijn, Ghifary, Muhammad +7 · 6 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
6. Re-evaluating Evaluation
   2018/06/07 by David Balduzzi, Karl Tuyls, Balduzzi, David +5 · 6 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Science and Game Theory (cs.GT) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Uncovering the Temporal Dynamics of Diffusion Networks
   2011/05/03 by Rodriguez, Manuel Gomez, Balduzzi, David, Schölkopf, Bernhard · 3 citations
   #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Physical sciences #H.2.8 #Information Retrieval (cs.IR) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
8. Real World Games Look Like Spinning Tops
   2020/04/20 by Czarnecki, Wojciech Marian, Gidel, Gauthier, Tracey, Brendan +4 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Strongly-Typed Recurrent Neural Networks
   2016/02/06 by David Balduzzi, Muhammad Ghifary, Balduzzi, David +1 · 1 voice · 1 citation
   Computer Science · #cs.LG #cs.NE
10. Semantics, Representations and Grammars for Deep Learning
    2015/09/29 by David Balduzzi, Balduzzi, David · 1 voice
    Computer Science · #Neural Networks and Applications #Machine Learning and Algorithms #Reinforcement Learning in Robotics
11. Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
    2015/10/15 by Ghifary, Muhammad, Balduzzi, David, Kleijn, W. Bastiaan +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.6 #I.4 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. Compatible Value Gradients for Reinforcement Learning of Continuous Deep\n Policies
    2015/09/10 by David Balduzzi, Balduzzi, David, Muhammad Ghifary +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
13. Stable Opponent Shaping in Differentiable Games
    2018/11/20 by Letcher, Alistair, Foerster, Jakob, Balduzzi, David +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
14. LOGAN: Latent Optimisation for Generative Adversarial Networks
    2019/12/02 by Yan Wu, Jeff Donahue, Wu, Yan +7 · 1 voice
    #cs.LG #stat.ML