Grover, Aditya

node2vec: Scalable Feature Learning for Networks

Grover, A., & Leskovec, J. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 10,926

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

Frozen Pretrained Transformers as Universal Computation Engines

Lu, K., Grover, A., Abbeel, P., & Mordatch, I. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 113

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Nguyen, T., Shah, R., Bansal, H., Arcomano, T., Maulik, R., Kotamarthi, V., Foster, I., Madireddy, S., & Grover, A. (2023) · arXiv

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 45

Probing the Decision Boundaries of In-context Learning in Large Language Models

Zhao, S., Nguyen, T., & Grover, A. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 11

VideoPhy: Evaluating Physical Commonsense for Video Generation

Bansal, H., Lin, Z., Xie, T., Zong, Z., Yarom, M., Bitton, Y., Jiang, C., Sun, Y., Chang, K.-W., & Grover, A. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 2

OpenThoughts: Data Recipes for Reasoning Models

Guha, E., Marten, R., Keh, S., Raoof, N., Smyrnis, G., Bansal, H., Nezhurina, M., Mercat, J., Vu, T., Sprague, Z., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1