Michael Spranger

1. Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
   2024/07/22 by Vikash Sehwag, Xianghao Kong, Sehwag, Vikash +7 · 5 voices · 9 citations
   Economics, Econometrics and Finance · #Sports Analytics and Performance
2. Logic Tensor Networks
   2021/12/02 by Samy Badreddine, Artur d'Avila Garcez, Artur d’Avila Garcez +2 · 34 citations
   Computer Science · #Topic Modeling #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks
3. Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
   2019/05/15 by Artur d’Avila Garcez, Marco Gori, Garcez, Artur d'Avila +9 · 20 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing #Stock Market Forecasting Methods
4. Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks
   2019/06/15 by Samy Badreddine, Badreddine, Samy, Michael Spranger +1 · 1 citation
   Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
5. Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling
   2022/10/23 by Junyuan Hong, Hong, Junyuan, Lingjuan Lyu +5 · 1 citation
   Computer Science · Medicine · #Privacy-Preserving Technologies in Data #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning
6. logLTN: Differentiable Fuzzy Logic in the Logarithm Space
   2023/06/26 by Samy Badreddine, Badreddine, Samy, Luciano Serafini +3 · 1 citation
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Neural Networks and Applications #Tensor decomposition and applications
7. Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
   2024/03/28 by Yuhang Li, Li, Yuhang, Dong, Xin +10 · 1 citation
   Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Model Reduction and Neural Networks