Sotabase

Career

· Associate Professor, Stanford University2022–
· Assistant Professor, Stanford University2014–2022
· PhD Student, Cornell University2008–2014
· Master of Science in Electrical and Electronics Engineering, Università degli Studi di Padova2008–
· Bachelor's degree in Electrical and Electronics Engineering, Università degli Studi di Padova2006–
· Inception

Publications (728)

Denoising Diffusion Implicit Models
International Conference on Learning Representations · 2020
10,532
cited
Score-Based Generative Modeling through Stochastic Differential Equations
International Conference on Learning Representations · 2020
9,164
cited
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Neural Information Processing Systems · 2023
7,064
cited
On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Generative Modeling by Estimating Gradients of the Data Distribution
Neural Information Processing Systems · 2019
4,972
cited
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Neural Information Processing Systems · 2022
3,505
cited
Generative Adversarial Imitation Learning
Neural Information Processing Systems · 2016
3,502
cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
International Conference on Learning Representations · 2021
1,935
cited
Combining satellite imagery and machine learning to predict poverty
Science · 2016
1,521
cited
Improved Techniques for Training Score-Based Generative Models
Neural Information Processing Systems · 2020
1,383
cited
Denoising Diffusion Restoration Models
Neural Information Processing Systems · 2022
1,119
cited
MOPO: Model-based Offline Policy Optimization
Neural Information Processing Systems · 2020
872
cited
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Neural Information Processing Systems · 2021
843
cited
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Neural Information Processing Systems · 2020
831
cited
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
International Conference on Learning Representations · 2017
825
cited
Closed-loop optimization of fast-charging protocols for batteries with machine learning
Nature · 2020
824
cited
Maximum Likelihood Training of Score-Based Diffusion Models
Neural Information Processing Systems · 2021
819
cited
Accurate Uncertainties for Deep Learning Using Calibrated Regression
International Conference on Machine Learning · 2018
748
cited
On Distillation of Guided Diffusion Models
Computer Vision and Pattern Recognition · 2022
708
cited
Sotabase