Bautista, Miguel Angel

21 publications

NeurIPS 2025 Flexible Language Modeling in Continuous Space with Transformer-Based Autoregressive Flows Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly

ICML 2025 INRFlow: Flow Matching for INRs in Ambient Space Yuyang Wang, Anurag Ranjan, Joshua M. Susskind, Miguel Ángel Bautista

ICML 2025 Normalizing Flows Are Capable Generative Models Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind

NeurIPS 2025 STARFlow: Scaling Latent Normalizing Flows for High-Resolution Image Synthesis Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Ángel Bautista, Joshua M. Susskind, Shuangfei Zhai

ECCV 2024 CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Angel Bautista, Bjorn Ommer

ICLR 2024 Manifold Diffusion Fields Ahmed A. A. Elhag, Yuyang Wang, Joshua M. Susskind, Miguel Ángel Bautista

ICLR 2024 Pseudo-Generalized Dynamic View Synthesis from a Video Xiaoming Zhao, R Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alex Schwing

ICML 2024 Scalable Pre-Training of Large Autoregressive Image Models Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T Toshev, Joshua M. Susskind, Armand Joulin

ICML 2024 Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista

ICMLW 2024 Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista

ICLR 2023 Diffusion Probabilistic Fields Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista

ICLR 2023 F-DM: A Multi-Stage Diffusion Model via Progressive Signal Transformation Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind

WACV 2022 Fast and Explicit Neural View Synthesis Pengsheng Guo, Miguel Angel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan

CVPR 2022 FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction Zhenpei Yang, Zhile Ren, Miguel Angel Bautista, Zaiwei Zhang, Qi Shan, Qixing Huang

NeurIPS 2022 GAUDI: A Neural Architect for Immersive 3D Scene Generation Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua Susskind

ICCV 2021 Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Angel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind

WACV 2021 On the Generalization of Learning-Based 3D Reconstruction Miguel Angel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind

ICCV 2021 Unconstrained Scene Generation with Locally Conditioned Radiance Fields Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind

CVPRW 2015 ChaLearn Looking at People 2015 Challenges: Action Spotting and Cultural Event Recognition Xavier Baró, Jordi Gonzàlez, Junior Fabian, Miguel Ángel Bautista, Marc Oliu, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera

ECCVW 2014 ChaLearn Looking at People Challenge 2014: Dataset and Results Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Miguel Ángel Bautista, Meysam Madadi, Miguel Reyes, Víctor Ponce-López, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon

ECCVW 2014 Learning to Segment Humans by Stacking Their Body Parts Eloi Puertas, Miguel Ángel Bautista, Daniel Sánchez, Sergio Escalera, Oriol Pujol