Sotabase

Career

· Chief Executive Officer, Ideogram2022–
· Senior Staff Research Scientist, Google2016–2022
· Doctor of Philosophy - PhD Computer Science, University of Toronto2010–2015

Publications (186)

A Simple Framework for Contrastive Learning of Visual Representations
International Conference on Machine Learning · 2020
22,693
cited
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Neural Information Processing Systems · 2022
7,629
cited
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
arXiv.org · 2016
7,145
cited
Big Self-Supervised Models are Strong Semi-Supervised Learners
Neural Information Processing Systems · 2020
2,454
cited
Image Super-Resolution via Iterative Refinement
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2021
2,275
cited
Imagen Video: High Definition Video Generation with Diffusion Models
arXiv.org · 2022
1,880
cited
Similarity of Neural Network Representations Revisited
International Conference on Machine Learning · 2019
1,825
cited
Neural Combinatorial Optimization with Reinforcement Learning
International Conference on Learning Representations · 2016
1,695
cited
Dream to Control: Learning Behaviors by Latent Imagination
International Conference on Learning Representations · 2019
1,678
cited
Cascaded Diffusion Models for High Fidelity Image Generation
Journal of machine learning research · 2021
1,519
cited
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
International Conference on Learning Representations · 2018
1,124
cited
Mastering Atari with Discrete World Models
International Conference on Learning Representations · 2020
1,073
cited
Zero-Shot Learning by Convex Combination of Semantic Embeddings
International Conference on Learning Representations · 2013
970
cited
WaveGrad: Estimating Gradients for Waveform Generation
International Conference on Learning Representations · 2020
895
cited
Minimal Loss Hashing for Compact Binary Codes
International Conference on Machine Learning · 2011
765
cited
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
International Conference on Machine Learning · 2017
716
cited
Detecting Cancer Metastases on Gigapixel Pathology Images
arXiv.org · 2017
668
cited
Hamming Distance Metric Learning
Neural Information Processing Systems · 2012
648
cited
Big Self-Supervised Models Advance Medical Image Classification
IEEE International Conference on Computer Vision · 2021
641
cited
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
International Conference on Learning Representations · 2019
609
cited
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