Pedro O. Pinheiro

33 papers A* 10B 1Misc 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Atoms: Evaluating Electron Density Representation for 3D Molecular Learning. CoRR Patricia Suriana, Joshua A. Rackers, Ewa M. Nowara, Pedro O. Pinheiro, John M. Nicoloudis, Vishnu Sresht
2025	J	`jnl`	Pharmacophore-based design by learning on voxel grids. CoRR Omar Mahmood, Pedro O. Pinheiro, Richard Bonneau, Saeed Saremi, Vishnu Sresht
2025	J	`jnl`	Score-based 3D molecule generation with neural fields. CoRR Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi
2025	J	`jnl`	Unified all-atom molecule generation with neural fields. CoRR Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett, Karolis Martinkus, Joseph Kleinhenz, Emily K. Makowski, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Saeed Saremi
2024	J	`jnl`	NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries. CoRR Ewa M. Nowara, Pedro O. Pinheiro, Sai Pooja Mahajan, Omar Mahmood, Andrew Martin Watkins, Saeed Saremi, Michael Maser
2024	A*	`conf`	Score-based 3D molecule generation with neural fields. NeurIPS Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi
2024	A*	`conf`	Structure-based drug design by denoising voxel grids. ICML Pedro O. Pinheiro, Arian Rokkum Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi
2024	J	`jnl`	Structure-based drug design by denoising voxel grids. CoRR Pedro O. Pinheiro, Arian Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi
2023	A*	`conf`	3D molecule generation by denoising voxel grids. NeurIPS Pedro O. Pinheiro, Joshua A. Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew M. Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi
2023	J	`jnl`	3D molecule generation by denoising voxel grids. CoRR Pedro O. Pinheiro, Joshua A. Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew Martin Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi
2021	Misc	`conf`	Haptics-based Curiosity for Sparse-reward Tasks. CoRL Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro
2021	J	`jnl`	Touch-based Curiosity for Sparse-Reward Tasks. CoRR Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro
2020	—	`conf`	CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
2020	B	`conf`	Proposal-Based Instance Segmentation With Point Supervision. ICIP Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2020	A*	`conf`	Reinforced active learning for image segmentation. ICLR Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
2020	J	`jnl`	Reinforced active learning for image segmentation. CoRR Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
2020	A*	`conf`	Unsupervised Learning of Dense Visual Representations. NeurIPS Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmalek, Florian Golemo, Aaron C. Courville
2020	J	`jnl`	Unsupervised Learning of Dense Visual Representations. CoRR Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmalek, Florian Golemo, Aaron C. Courville
2019	J	`jnl`	Adaptive Cross-Modal Few-Shot Learning. CoRR Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
2019	A*	`conf`	Adaptive Cross-Modal Few-shot Learning. NeurIPS Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
2019	A*	`conf`	Adversarial Framing for Image and Video Classification. AAAI Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2019	A*	`conf`	Domain-Adaptive Single-View 3D Reconstruction. ICCV Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
2019	J	`jnl`	Fine-grained zero-shot recognition with metric rescaling. CoRR Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
2019	J	`jnl`	Instance Segmentation with Point Supervision. CoRR Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2019	A*	`conf`	Neural Multisensory Scene Inference. NeurIPS Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn
2019	J	`jnl`	Neural Multisensory Scene Inference. CoRR Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
2019	J	`jnl`	Predicting Global Variations in Outdoor PM2.5 Concentrations using Satellite Images and Deep Convolutional Neural Networks. CoRR Kris Y. Hong, Pedro O. Pinheiro, Scott Weichenthal
2019	J	`jnl`	Reinforced Imitation in Heterogeneous Action Space. CoRR Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro
2018	J	`jnl`	Adversarial Framing for Image and Video Classification. CoRR Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2018	J	`jnl`	Learning Single-View 3D Reconstruction with Adversarial Training. CoRR Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
2018	A*	`conf`	Unsupervised Domain Adaptation With Similarity Learning. CVPR Pedro O. Pinheiro
2018	—	`conf`	Where Are the Blobs: Counting by Localization with Point Supervision. ECCV (2) Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2018	J	`jnl`	Where are the Blobs: Counting by Localization with Point Supervision. CoRR Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt