Tiomoko, Malik

1. Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
   2025/02/21 by Feofanov, Vasilii, Wen, Songkang, Alonso, Marius +6 · 10 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Random matrix-improved estimation of covariance matrix distances
   2018/10/10 by Couillet, Romain, Tiomoko, Malik, Zozor, Steeve +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Probability (math.PR) #Statistics Theory (math.ST)
3. Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
   2024/06/14 by Romain Ilbert, Ilbert, Romain, Malik Tiomoko +11 · 3 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Mechanics and Entropy
4. Large Dimensional Analysis and Improvement of Multi Task Learning
   2020/09/03 by Tiomoko, Malik, Couillet, Romain, Tiomoko, Hafiz · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. PCA-based Multi Task Learning: a Random Matrix Approach
   2021/11/01 by Malik Tiomoko, Romain Couillet, Tiomoko, Malik +3 · 1 citation
   Computer Science · #Face and Expression Recognition #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM