Charles Martín

1. How do Mixture Density RNNs Predict the Future?
   2019/01/23 by Kai Olav Ellefsen, Charles Martín, Charles Patrick Martin +5 · 1 voice · 1 citation
   Computer Science · Materials Science · Mathematics · #Machine Learning in Materials Science #Neural Networks and Applications #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
2. Environmental Adaptation of Robot Morphology and Control through\n Real-world Evolution
   2020/03/30 by Tønnes F. Nygaard, Charles Martín, Nygaard, Tønnes F. +7 · 2 citations
   Computer Science · Engineering · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Robotics (cs.RO)
3. SteerMusic: Enhanced Musical Consistency for Zero-shot Text-guided and Personalized Music Editing
   2025/04/15 by Xinlei Niu, Niu, Xinlei, Kin Wai Cheuk +19 · 5 citations
   Computer Science · #Artificial Intelligence in Games #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Multimedia (cs.MM) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #electronic engineering #information engineering
4. SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model
   2024/10/03 by Xinlei Niu, Niu, Xinlei, Jing Zhang +3 · 2 citations
   Computer Science · Neuroscience · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Hearing Loss and Rehabilitation #Machine Learning (cs.LG) #Music Technology and Sound Studies #Neuroscience and Music Perception #Sound (cs.SD) #electronic engineering #information engineering