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ORCIDPedro O. Pinheiro
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2020 – today
- 2024
[c13]Pedro O. Pinheiro, Arian Rokkum Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi:
Structure-based drug design by denoising voxel grids. ICML 2024- [i15]Pedro O. Pinheiro, Arian Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi:
Structure-based drug design by denoising voxel grids. CoRR abs/2405.03961 (2024) - [i14]Ewa M. Nowara, Pedro O. Pinheiro, Sai Pooja Mahajan, Omar Mahmood, Andrew Martin Watkins, Saeed Saremi, Michael Maser:
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries. CoRR abs/2407.03428 (2024) - 2023
- [c12]Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew M. Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi:
3D molecule generation by denoising voxel grids. NeurIPS 2023 - [i13]Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew Martin Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi:
3D molecule generation by denoising voxel grids. CoRR abs/2306.07473 (2023) - 2021
- [c11]Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro:
Haptics-based Curiosity for Sparse-reward Tasks. CoRL 2021: 395-405 - [i12]Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro:
Touch-based Curiosity for Sparse-Reward Tasks. CoRR abs/2104.00442 (2021) - 2020
- [c10]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops 2020: 3989-3993 - [c9]Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Proposal-Based Instance Segmentation With Point Supervision. ICIP 2020: 2126-2130 - [c8]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. ICLR 2020 - [c7]Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmalek, Florian Golemo, Aaron C. Courville:
Unsupervised Learning of Dense Visual Representations. NeurIPS 2020 - [i11]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. CoRR abs/2002.06583 (2020) - [i10]Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmalek, Florian Golemo, Aaron C. Courville:
Unsupervised Learning of Dense Visual Representations. CoRR abs/2011.05499 (2020)
2010 – 2019
- 2019
- [c6]Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. AAAI 2019: 10077-10078 - [c5]Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Domain-Adaptive Single-View 3D Reconstruction. ICCV 2019: 7637-7646 - [c4]Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-shot Learning. NeurIPS 2019: 4848-4858 - [c3]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. NeurIPS 2019: 8994-9004 - [i9]Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-Shot Learning. CoRR abs/1902.07104 (2019) - [i8]Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro:
Reinforced Imitation in Heterogeneous Action Space. CoRR abs/1904.03438 (2019) - [i7]Kris Y. Hong, Pedro O. Pinheiro, Scott Weichenthal:
Predicting Global Variations in Outdoor PM2.5 Concentrations using Satellite Images and Deep Convolutional Neural Networks. CoRR abs/1906.03975 (2019) - [i6]Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Instance Segmentation with Point Supervision. CoRR abs/1906.06392 (2019) - [i5]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
Fine-grained zero-shot recognition with metric rescaling. CoRR abs/1906.11892 (2019) - [i4]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. CoRR abs/1910.02344 (2019) - 2018
- [c2]Pedro O. Pinheiro:
Unsupervised Domain Adaptation With Similarity Learning. CVPR 2018: 8004-8013 - [c1]Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Where Are the Blobs: Counting by Localization with Point Supervision. ECCV (2) 2018: 560-576 - [i3]Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Where are the Blobs: Counting by Localization with Point Supervision. CoRR abs/1807.09856 (2018) - [i2]Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Learning Single-View 3D Reconstruction with Adversarial Training. CoRR abs/1812.01742 (2018) - [i1]Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. CoRR abs/1812.04599 (2018)
Coauthor Index
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