Ermon, Stefano

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Denoising Diffusion Implicit Models

Song, J., Meng, C., & Ermon, S. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 2,507

Score-Based Generative Modeling through Stochastic Differential Equations

Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., & Poole, B. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 1,953

Generative adversarial imitation learning

Ho, J., & Ermon, S. (2016) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 1,942

Combining satellite imagery and machine learning to predict poverty

Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016) · Science

Impact of Light on Environment and HealthIncome, Poverty, and Inequality

Cited by 1,664

Generative Modeling by Estimating Gradients of the Data Distribution

Song, Y., & Ermon, S. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 1,453

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Dao, T., Fu, D. Y., Ermon, S., Rudra, A., & Ré, C. (2022) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 1,214

Closed-loop optimization of fast-charging protocols for batteries with machine learning

Attia, P. M., Grover, A., Jin, N., Severson, K. A., Markov, T. M., Liao, Y.-H., Chen, M. H., Cheong, B., Perkins, N., Yang, Z., et al. (2020) · Nature

Battery Modeling and ManagementMachine Learning in Materials Science

Cited by 1,180

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Rafailov, R., Sharma, A., Mitchell, E., Manning, C. D., Ermon, S., & Finn, C. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 686

Sequence modeling and design from molecular to genome scale with Evo

Nguyen, E., Poli, M., Durrant, M. G., Thomas, A. W., Kang, B., Sullivan, J., Ng, M. Y., Lewis, A., Patel, A., Lou, A., et al. (2024) · Science

Genomics and Phylogenetic StudiesMachine Learning in Bioinformatics

Cited by 592

Sequence modeling and design from molecular to genome scale with Evo

Nguyen, E., Poli, M., Durrant, M. G., Kang, B., Katrekar, D., Li, D. B., Bartie, L. J., Thomas, A. W., King, S. H., Brixi, G., et al. (2024) · Science

Genomics and Phylogenetic StudiesMachine Learning in Bioinformatics

Cited by 580

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

Song, Y., Kim, T., Nowozin, S., Ermon, S., & Kushman, N. (2017) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 562

Improved Techniques for Training Score-Based Generative Models

Song, Y., & Ermon, S. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 482

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

Yeh, C., Perez, A., Driscoll, A., Azzari, G., Tang, Z., Lobell, D., Ermon, S., & Burke, M. (2020) · Nature Communications

Remote Sensing in AgricultureImpact of Light on Environment and Health

Cited by 425

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

Cong, Y., Khanna, S., Meng, C., Liu, P., Rozi, E., He, Y., Burke, M., Lobell, D. B., & Ermon, S. (2022) · arXiv

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 323

SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery

Cong, Y., Khanna, S., Meng, C., Liu, P., Rozi, E., He, Y., Burke, M., Lobell, D., & Ermon, S. (2022) · Advances in Neural Information Processing Systems 35

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 303

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Rafailov, R., Sharma, A., Mitchell, E., Ermon, S., Manning, C. D., & Finn, C. (2023) · arXiv

Ethics and Social Impacts of AIEmbodied and Extended Cognition

Cited by 293

Geography-Aware Self-Supervised Learning

Ayush, K., Uzkent, B., Meng, C., Tanmay, K., Burke, M., Lobell, D., & Ermon, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningRemote-Sensing Image Classification

Cited by 288

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Nguyen, E., Poli, M., Faizi, M., Thomas, A., Birch-Sykes, C., Wornow, M., Patel, A., Rabideau, C., Massaroli, S., Bengio, Y., et al. (2023) · arXiv

Machine Learning in BioinformaticsGenomics and Phylogenetic Studies

Cited by 168

Computational sustainability: computing for a better world and a sustainable future

Gomes, C., Dietterich, T., Barrett, C., Conrad, J., Dilkina, B., Ermon, S., Fang, F., Farnsworth, A., Fern, A., Fern, X., et al. (2019) · Communications of the ACM

Innovation, Sustainability, Human-Machine SystemsGreen IT and Sustainability

Cited by 126

Towards Deeper Understanding of Variational Autoencoding Models

Zhao, S., Song, J., & Ermon, S. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisGaussian Processes and Bayesian Inference

Cited by 116

Hyena Hierarchy: Towards Larger Convolutional Language Models

Poli, M., Massaroli, S., Nguyen, E., Fu, D. Y., Dao, T., Baccus, S., Bengio, Y., Ermon, S., & Ré, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 96

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Nguyen, E., Poli, M., Faizi, M., Thomas, A., Wornow, M., Birch-Sykes, C., Massaroli, S., Patel, A., Rabideau, C., Bengio, Y., et al. (2023) · Advances in Neural Information Processing Systems 36

Genomics and Phylogenetic StudiesGenomic variations and chromosomal abnormalities

Cited by 66