Aditya Grover
University of California, Los Angeles(US)
Publications by Year
Research Areas
Topic Modeling, Reinforcement Learning in Robotics, Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification
Most-Cited Works
- → node2vec(2016)10,705 cited
- → Closed-loop optimization of fast-charging protocols for batteries with machine learning(2020)995 cited
- → Decision Transformer: Reinforcement Learning via Sequence Modeling(2021)464 cited
- → A Deep Hybrid Model for Weather Forecasting(2015)275 cited
- → node2vec: Scalable Feature Learning for Networks(2016)229 cited
- → ClimaX: A foundation model for weather and climate(2023)168 cited
- → Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models(2018)143 cited
- → Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols(2021)116 cited
- → Pretrained Transformers as Universal Computation Engines(2021)99 cited
- → Frozen Pretrained Transformers as Universal Computation Engines(2022)98 cited