Miguel Angel Bautista
Scholar

Miguel Angel Bautista

Google Scholar ID: ZrRs-qoAAAAJ
Apple Machine Learning Research (MLR)
Machine LearningComputer Vision
Google Scholar↗
Citations & Impact
All-time
Citations
2,525
 
H-index
21
 
i10-index
31
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Publications
7 items
STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flow
2025
Cited
0
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
2025
Cited
0
SimpleFold: Folding Proteins is Simpler than You Think
2025
Cited
0
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
2025
Cited
0
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
2025
Cited
0
Normalizing Flows are Capable Generative Models
arXiv.org · 2024
Cited
9
INRFlow: Flow Matching for INRs in Ambient Space
2024
Cited
0
Resume (English only)
Co-authors
15 total
Joshua M Susskind
Joshua M Susskind
Apple
Sergio Escalera
Sergio Escalera
Prof., ICREA Academy, University of Barcelona, Computer Vision Center, ELLIS & IAPR & AAIA Fellow
Shuangfei Zhai
Shuangfei Zhai
Apple, Machine Learning Research
Björn Ommer
Björn Ommer
Professor, Computer Vision & Learning Group (CompVis), University of Munich
Jiatao Gu
Jiatao Gu
UPenn CIS / Apple MLR
Isabelle Guyon
Isabelle Guyon
Director of Research, Google; Prof. UPSaclay; President ChaLearn
Yuyang Wang
Yuyang Wang
Apple, Machine Learning Research (MLR)
Artsiom Sanakoyeu
Artsiom Sanakoyeu
Research Scientist at GenAI