Thomas Miconi

1. The impossibility of "fairness": a generalized impossibility result for decisions
   2017/07/05 by Thomas Miconi, Miconi, Thomas · 2 voices · 2 citations
   Computer Science · Mathematics · Neuroscience · Social Sciences · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Psychology of Moral and Emotional Judgment #cs.AI #stat.AP #stat.ML
2. Learning to Continually Learn
   2020/02/21 by Shawn Beaulieu, L. Frati, Lapo Frati +12 · 1 voice · 6 citations
   Computer Science · Mathematics · #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) #Neural and Evolutionary Computing (cs.NE) #cs.CV #cs.LG #cs.NE #stat.ML
3. Brain-inspired learning in artificial neural networks: a review
   2023/05/18 by Samuel Schmidgall, Schmidgall, Samuel, Jascha Achterberg +12 · 1 voice · 9 citations
   Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #EEG and Brain-Computer Interfaces #Neural Networks and Applications #cs.AI #cs.LG #cs.NE #q-bio.NC
4. First-Order Preconditioning via Hypergradient Descent
   2019/10/18 by Ted Moskovitz, Rui Wang, Moskovitz, Ted +11 · 2 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 ELM #Stochastic Gradient Optimization Techniques
5. Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
   2020/02/21 by Ashley D. Edwards, Edwards, Ashley D., Himanshu Sahni +17 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
6. Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks
   2021/07/04 by Thomas Miconi, Miconi, Thomas · 1 citation
   Computer Science · Neuroscience · Biochemistry, Genetics and Molecular Biology · #Neural Networks and Applications #Neural dynamics and brain function #Fractal and DNA sequence analysis
7. Neural networks with differentiable structure
   2016/06/20 by Thomas Miconi, Miconi, Thomas · 1 citation
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)