Ermon, Stefano

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Jean, N., Xie, S. M., & Ermon, S. (2018) · arXiv

Gaussian Processes and Bayesian InferenceMachine Learning and Algorithms

Cited by 49

GeoLLM: Extracting Geospatial Knowledge from Large Language Models

Manvi, R., Khanna, S., Mai, G., Burke, M., Lobell, D., & Ermon, S. (2023) · arXiv

Topic ModelingHuman Mobility and Location-Based Analysis

Cited by 41

GEO-Bench: Toward Foundation Models for Earth Monitoring

Lacoste, A., Lehmann, N., Rodriguez, P., Sherwin, E., Kerner, H., Lütjens, B., Irvin, J., Dao, D., Alemohammad, H., Drouin, A., et al. (2023) · Advances in Neural Information Processing Systems 36

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 40

Disentangling Length from Quality in Direct Preference Optimization

Park, R., Rafailov, R., Ermon, S., & Finn, C. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation

Sinha, A., Song, J., Meng, C., & Ermon, S. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 10

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Massaroli, S., Poli, M., Fu, D., Kumbong, H., Parnichkun, R., Romero, D., Timalsina, A., McIntyre, Q., Chen, B., Rudra, A., et al. (2023) · Advances in Neural Information Processing Systems 36

Mathematical Analysis and Transform MethodsNeural Networks and Applications

Cited by 4

Mechanistic Design and Scaling of Hybrid Architectures

Poli, M., Thomas, A. W., Nguyen, E., Ponnusamy, P., Deiseroth, B., Kersting, K., Suzuki, T., Hie, B., Ermon, S., Ré, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Structured Scaling of AI Discovery Across Diverse Scientific Domains

Ye, H., Lin, H., Tang, J., Luo, Y., Thapa, R., Yang, C., Su, C., Yang, R., Liu, R., Li, R., et al. (2026) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 0