Miguel Sarabia
- Learning Spatially-Aware Language and Audio Embeddings
2024/09/17 by Bhavika Devnani, Devnani, Bhavika, Skyler Seto +13 · 14 citations
Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #Speech and dialogue systems #electronic engineering #information engineering
- DeepPCR: Parallelizing Sequential Operations in Neural Networks
2023/09/28 by Federico Danieli, Miguel Sarabia, Danieli, Federico +7 · 4 citations
Computer Science · Physics and Astronomy · Materials Science · #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks #Machine Learning in Materials Science
- Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
2024/02/28 by Katherine Metcalf, Miguel Sarabia, Metcalf, Katherine +5 · 2 citations
Computer Science · #Reinforcement Learning in Robotics
- On the role of Lip Articulation in Visual Speech Perception
2022/03/18 by Zakaria Aldeneh, Masha Fedzechkina, Aldeneh, Zakaria +11 · 1 citation
Computer Science · Engineering · #Audio and Speech Processing (eess.AS) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Face recognition and analysis #Graphics (cs.GR) #Human Motion and Animation #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
- Novel-View Acoustic Synthesis from 3D Reconstructed Rooms
2023/10/23 by Byeongjoo Ahn, Karren Yang, Ahn, Byeongjoo +13 · 1 citation
Computer Science · Neuroscience · #Speech and Audio Processing #Music and Audio Processing #Hearing Loss and Rehabilitation
- ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
2025/10/24 by Federico Danieli, Pau Rodríguez, Danieli, Federico +7 · 2 citations
Computer Science · Materials Science · Physics and Astronomy · #68T07 #68W10 #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Topic Modeling