---
title: "Aditya Grover — all works — Elamur Research"
description: "All 27 works of Aditya Grover in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/aditya-grover/works/"
---
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# Aditya Grover — all works

27 works · [← Aditya Grover](https://md.research.elamur.ai/free/en/authors/aditya-grover/)

1. **[node2vec ↗](https://doi.org/10.1145/2939672.2939754) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Aditya Grover, Jure Leskovec*2016 · 10,750 citations*
2. **[Closed-loop optimization of fast-charging protocols for batteries with machine learning ↗](https://doi.org/10.1038/s41586-020-1994-5) Nature · no summary yet**Peter M. Attia et al.*2020 · 1,155 citations*
3. **[node2vec: Scalable Feature Learning for Networks ↗](https://arxiv.org/abs/1607.00653) PubMed · no summary yet**Aditya Grover, Jure Leskovec*2016 · 484 citations*
4. **[Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models ↗](https://doi.org/10.1609/aaai.v32i1.11829) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Aditya Grover, Manik Dhar, Stefano Ermon*2018 · 204 citations*
5. **[Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols ↗](https://doi.org/10.1016/j.joule.2021.10.010) Joule · no summary yet**Benben Jiang et al.*2021 · 128 citations*
6. **[Frozen Pretrained Transformers as Universal Computation Engines ↗](https://doi.org/10.1609/aaai.v36i7.20729) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Kevin Lu et al.*2022 · 123 citations*
7. [**Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models arXiv:2601.18734**Siyan Zhao, Zhihui Xie, Mengchen Liu, et al.*2026 · 97 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2026-self-distilled-reasoner-policy-self/)
8. **[Stochastic Optimization of Sorting Networks via Continuous Relaxations ↗](https://arxiv.org/abs/1903.08850) arXiv (Cornell University) · no summary yet**Aditya Grover et al.*2019 · 89 citations*
9. **[Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting ↗](https://arxiv.org/abs/1906.09531) arXiv (Cornell University) · no summary yet**Aditya Grover et al.*2019 · 80 citations*
10. **[Learning Controllable Fair Representations ↗](https://arxiv.org/abs/1812.04218) arXiv (Cornell University) · no summary yet**Jiaming Song et al.*2018 · 70 citations*
11. **[Graphite: Iterative Generative Modeling of Graphs ↗](https://arxiv.org/abs/1803.10459) arXiv (Cornell University) · no summary yet**Aditya Grover, Aaron Zweig, Stefano Ermon*2018 · 48 citations*
12. **[Modeling Sparse Deviations for Compressed Sensing using Generative Models ↗](https://arxiv.org/abs/1807.01442) arXiv (Cornell University) · no summary yet**Manik Dhar, Aditya Grover, Stefano Ermon*2018 · 43 citations*
13. **[Boosted Generative Models ↗](https://doi.org/10.1609/aaai.v32i1.11827) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Aditya Grover, Stefano Ermon*2018 · 42 citations*
14. **[Mercury: Ultra-Fast Language Models Based on Diffusion ↗](https://arxiv.org/abs/2506.17298) arXiv:2506.17298 · no summary yet**Inception Labs et al.*2025 · 36 citations*
15. **[Permutation Invariant Graph Generation via Score-Based Generative Modeling ↗](https://arxiv.org/abs/2003.00638) arXiv (Cornell University) · no summary yet**Chenhao Niu et al.*2020 · 34 citations*
16. **[Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization ↗](https://arxiv.org/abs/1812.10539) arXiv (Cornell University) · no summary yet**Aditya Grover, Stefano Ermon*2018 · 31 citations*
17. **[Best arm identification in multi-armed bandits with delayed feedback ↗](https://arxiv.org/abs/1803.10937) arXiv (Cornell University) · no summary yet**Aditya Grover et al.*2018 · 27 citations*
18. **[Fair Generative Modeling via Weak Supervision ↗](https://arxiv.org/abs/1910.12008) arXiv (Cornell University) · no summary yet**Kristy Choi et al.*2019 · 15 citations*
19. [**When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning arXiv:2504.01005**Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/singhi-2025-solve-verify-compute-optimal-problem/)
20. **[PiRank: Scalable Learning To Rank via Differentiable Sorting ↗](https://arxiv.org/abs/2012.06731) arXiv (Cornell University) · no summary yet**Robin M. E. Swezey et al.*2020 · 9 citations*
21. **[Anytime Sampling for Autoregressive Models via Ordered Autoencoding ↗](https://arxiv.org/abs/2102.11495) arXiv (Cornell University) · no summary yet**Yilun Xu et al.*2021 · 8 citations*
22. **[Streamlining variational inference for constraint satisfaction problems* ↗](https://doi.org/10.1088/1742-5468/ab371f) Journal of Statistical Mechanics Theory and Experiment · no summary yet**Aditya Grover, Tudor Achim, Stefano Ermon*2019 · 6 citations*
23. **[Variational Rejection Sampling ↗](https://arxiv.org/abs/1804.01712) arXiv (Cornell University) · no summary yet**Aditya Grover et al.*2018 · 6 citations*
24. **[BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery ↗](https://arxiv.org/abs/2112.02761) arXiv (Cornell University) · no summary yet**Chris Cundy, Aditya Grover, Stefano Ermon*2021 · 4 citations*
25. **[Variational Bayes on Monte Carlo Steroids ↗](https://openalex.org/W2554637102) neural information processing systems · no summary yet**Aditya Grover, Stefano Ermon*2016 · 4 citations*
26. **[AlignFlow: Learning from multiple domains via normalizing flows. ↗](https://openalex.org/W2965948626) International Conference on Learning Representations · no summary yet**Aditya Grover et al.*2019 · 2 citations*
27. **[Amortized Variational Compressive Sensing ↗](https://openalex.org/W2904929311) no summary yet**Aditya Grover, Stefano Ermon*2018 · 2 citations*