Stefano Ermon

Stefano Ermon

Stanford University

H-index: 76

North America-United States

About Stefano Ermon

Stefano Ermon, With an exceptional h-index of 76 and a recent h-index of 74 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Artificial Intelligence, Machine Learning, Computational Sustainability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution

Geo-bench: Toward foundation models for earth monitoring

Direct preference optimization: Your language model is secretly a reward model

Parallel sampling of diffusion models

Large language models are geographically biased

Segment Any Change

Transfer learning in environmental remote sensing

Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms

Stefano Ermon Information

University

Position

___

Citations(all)

35759

Citations(since 2020)

33786

Cited By

8425

hIndex(all)

76

hIndex(since 2020)

74

i10Index(all)

213

i10Index(since 2020)

202

Email

University Profile Page

Google Scholar

Stefano Ermon Skills & Research Interests

Artificial Intelligence

Machine Learning

Computational Sustainability

Top articles of Stefano Ermon

Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution

Advances in neural information processing systems

2024/2/13

Geo-bench: Toward foundation models for earth monitoring

Advances in Neural Information Processing Systems

2024/2/13

Direct preference optimization: Your language model is secretly a reward model

Advances in Neural Information Processing Systems

2024/2/13

Parallel sampling of diffusion models

Advances in Neural Information Processing Systems

2024/2/13

Large language models are geographically biased

arXiv preprint arXiv:2402.02680

2024/2/5

Segment Any Change

arXiv preprint arXiv:2402.01188

2024/2/2

Yanfei Zhong
Yanfei Zhong

H-Index: 39

Stefano Ermon
Stefano Ermon

H-Index: 38

Transfer learning in environmental remote sensing

2024/2/1

Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms

arXiv preprint arXiv:2401.11708

2024/1/22

Equivariant Graph Neural Operator for Modeling 3D Dynamics

arXiv preprint arXiv:2401.11037

2024/1/19

Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives

Machine Learning: Science and Technology

2024/1/10

Sequence modeling and design from molecular to genome scale with Evo

bioRxiv

2024

Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data

arXiv preprint arXiv:2404.14367

2024/4/22

Privacy-constrained policies via mutual information regularized policy gradients

2024/4/18

Rishi Desai
Rishi Desai

H-Index: 1

Stefano Ermon
Stefano Ermon

H-Index: 38

Mudiff: Unified diffusion for complete molecule generation

2024/4/17

On the Scalability of Diffusion-based Text-to-Image Generation

arXiv preprint arXiv:2404.02883

2024/4/3

Disentangling length from quality in direct preference optimization

arXiv preprint arXiv:2403.19159

2024/3/28

Mechanistic Design and Scaling of Hybrid Architectures

arXiv preprint arXiv:2403.17844

2024/3/26

HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Cross-modal contextualized diffusion models for text-guided visual generation and editing

arXiv preprint arXiv:2402.16627

2024/2/26

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

AAAI 2024

2024/2/13

See List of Professors in Stefano Ermon University(Stanford University)