Sotabase

Career

· Research Scientist, Google DeepMind2025–
· Research Scientist, Apple Machine Learning Research2022–2025
· PhD Student, McGill University2019–2022
· MSc in Mathematics and Statistics, McGill University2017–2018
· Intern, Bourque's Lab2015–
· BSc in Statistics and Computer Science, McGill University2014–2017
· Research Scientist, Apple MLR

Publications (70)

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
Comput. Biol. Medicine · 2021
200
cited
Deep Reinforcement and InfoMax Learning
Neural Information Processing Systems · 2020
112
cited
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
International Conference on Artificial Intelligence and Statistics · 2020
101
cited
Leveraging exploration in off-policy algorithms via normalizing flows
Conference on Robot Learning · 2019
71
cited
Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin
BMC Ecology and Evolution · 2020
60
cited
Online Adaptative Curriculum Learning for GANs
AAAI Conference on Artificial Intelligence · 2018
42
cited
DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks
Scientific Reports · 2022
39
cited
Grounding Multimodal Large Language Models in Actions
Neural Information Processing Systems · 2024
35
cited
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
International Conference on Learning Representations · 2021
29
cited
Exploring Attention Mechanism for Acoustic-based Classification of Speech Utterances into System-directed and Non-system-directed
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2019
29
cited
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
Neural Information Processing Systems · 2021
25
cited
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons
Computer Vision and Pattern Recognition · 2024
23
cited
GAN Q-learning
arXiv.org · 2018
19
cited
Identification and correction of spatial bias are essential for obtaining quality data in high-throughput screening technologies
Scientific Reports · 2017
19
cited
Learning About Progress From Experts
International Conference on Learning Representations · 2023
17
cited
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
arXiv.org · 2019
16
cited
Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms
PLoS ONE · 2022
11
cited
Contrastive Value Learning: Implicit Models for Simple Offline RL
Conference on Robot Learning · 2022
10
cited
Value function estimation using conditional diffusion models for control
arXiv.org · 2023
9
cited
Accelerating exploration and representation learning with offline pre-training
arXiv.org · 2023
7
cited
Sotabase
Bogdan Mazoure | Researcher Profile | Sotabase | Sotabase