---
title: "Stefano Ermon — all works — Elamur Research"
description: "All 409 works of Stefano Ermon in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Stefano Ermon — all works

409 works · page 1 of 5 · 1–100 · [← Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/)

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1. [**Direct Preference Optimization: Your Language Model is Secretly a Reward Model arXiv:2305.18290**Rafael Rafailov, Archit Sharma, Eric Mitchell, et al.*2023 · 2,896 citations*](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/)
2. **[FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness ↗](https://arxiv.org/abs/2205.14135) arXiv:2205.14135 · no summary yet**Tri Dao et al.*2022 · 2,495 citations*
3. [**Score-Based Generative Modeling through Stochastic Differential Equations arXiv:2011.13456**Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al.*2020 · 1,680 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-score-based-generative-modeling-through/)
4. **[Combining satellite imagery and machine learning to predict poverty ↗](https://doi.org/10.1126/science.aaf7894) Science · no summary yet**Neal Jean et al.*2016 · 1,679 citations*
5. [**Generative Modeling by Estimating Gradients of the Data Distribution arXiv:1907.05600**Yang Song, Stefano Ermon*2019 · 1,274 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-generative-modeling-estimating-gradients-data/)
6. **[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*
7. **[Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning ↗](https://doi.org/10.1038/s41467-019-12898-9) Nature Communications · no summary yet**Chi-Sing Ho et al.*2019 · 871 citations*
8. **[Coupling between oxygen redox and cation migration explains unusual electrochemistry in lithium-rich layered oxides ↗](https://doi.org/10.1038/s41467-017-02041-x) Nature Communications · no summary yet**William E. Gent et al.*2017 · 695 citations*
9. **[A Survey on Behavior Recognition Using WiFi Channel State Information ↗](https://doi.org/10.1109/mcom.2017.1700082) IEEE Communications Magazine · no summary yet**Siamak Yousefi et al.*2017 · 611 citations*
10. [**Denoising Diffusion Implicit Models arXiv:2010.02502**Jiaming Song, Chenlin Meng, Stefano Ermon*2020 · 576 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-denoising-diffusion-implicit-models/)
11. **[Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data ↗](https://doi.org/10.1609/aaai.v31i1.11172) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiaxuan You et al.*2017 · 566 citations*
12. **[Using satellite imagery to understand and promote sustainable development ↗](https://doi.org/10.1126/science.abe8628) Science · no summary yet**Marshall Burke et al.*2021 · 468 citations*
13. **[Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping ↗](https://doi.org/10.1609/aaai.v30i1.9906) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sang Michael Xie et al.*2016 · 461 citations*
14. **[Using publicly available satellite imagery and deep learning to understand economic well-being in Africa ↗](https://doi.org/10.1038/s41467-020-16185-w) Nature Communications · no summary yet**Christopher Yeh et al.*2020 · 436 citations*
15. **[SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations ↗](https://arxiv.org/abs/2108.01073) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2021 · 428 citations*
16. **[Transfer learning in environmental remote sensing ↗](https://doi.org/10.1016/j.rse.2023.113924) Remote Sensing of Environment · no summary yet**Yuchi Ma et al.*2023 · 426 citations*
17. **[A DIRT-T Approach to Unsupervised Domain Adaptation ↗](https://arxiv.org/abs/1802.08735) arXiv (Cornell University) · no summary yet**Rui Shu et al.*2018 · 413 citations*
18. **[Generative Adversarial Imitation Learning ↗](https://arxiv.org/abs/1606.03476) arXiv:1606.03476 · no summary yet**Jonathan Ho, Stefano Ermon*2016 · 411 citations*
19. **[On Distillation of Guided Diffusion Models ↗](https://doi.org/10.1109/cvpr52729.2023.01374) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chenlin Meng et al.*2023 · 387 citations*
20. **[Denoising Diffusion Restoration Models ↗](https://doi.org/10.52202/068431-1714) neural information processing systems · no summary yet**Bahjat Kawar et al.*2022 · 383 citations*
21. **[Accurate Uncertainties for Deep Learning Using Calibrated Regression ↗](https://arxiv.org/abs/1807.00263) arXiv (Cornell University) · no summary yet**Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon*2018 · 379 citations*
22. **[InfoVAE: Information Maximizing Variational Autoencoders ↗](https://arxiv.org/abs/1706.02262) arXiv (Cornell University) · no summary yet**Shengjia Zhao, Jiaming Song, Stefano Ermon*2017 · 359 citations*
23. **[PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples ↗](https://arxiv.org/abs/1710.10766) arXiv (Cornell University) · no summary yet**Yang Song et al.*2017 · 289 citations*
24. **[Geography-Aware Self-Supervised Learning ↗](https://doi.org/10.1109/iccv48922.2021.01002) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kumar Ayush et al.*2021 · 276 citations*
25. **[InfoVAE: Balancing Learning and Inference in Variational Autoencoders ↗](https://doi.org/10.1609/aaai.v33i01.33015885) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shengjia Zhao, Jiaming Song, Stefano Ermon*2019 · 275 citations*
26. **[MOPO: Model-based Offline Policy Optimization ↗](https://arxiv.org/abs/2005.13239) arXiv (Cornell University) · no summary yet**Tianhe Yu et al.*2020 · 260 citations*
27. **[Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data ↗](https://doi.org/10.1145/3209811.3212707) ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) · no summary yet**Anna X. Wang et al.*2018 · 257 citations*
28. **[SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery ↗](https://doi.org/10.52202/068431-0015) neural information processing systems · no summary yet**Yezhen Cong et al.*2022 · 245 citations*
29. **[End-to-End Learning of Motion Representation for Video Understanding ↗](https://doi.org/10.1109/cvpr.2018.00630) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lijie Fan et al.*2018 · 236 citations*
30. **[Diffusion Model Alignment Using Direct Preference Optimization ↗](https://doi.org/10.1109/cvpr52733.2024.00786) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bram Wallace et al.*2024 · 231 citations*
31. **[Genome modeling and design across all domains of life with Evo 2 ↗](https://doi.org/10.1101/2025.02.18.638918) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Garyk Brixi et al.*2025 · 225 citations*
32. **[HiPPO: Recurrent Memory with Optimal Polynomial Projections ↗](https://arxiv.org/abs/2008.07669) arXiv:2008.07669 · no summary yet**Albert Gu et al.*2020 · 205 citations*
33. **[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*
34. **[GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation ↗](https://arxiv.org/abs/2203.02923) arXiv (Cornell University) · no summary yet**Minkai Xu et al.*2022 · 197 citations*
35. **[Improved Techniques for Training Score-Based Generative Models ↗](https://arxiv.org/abs/2006.09011) arXiv (Cornell University) · no summary yet**Yang Sup Song, Stefano Ermon*2020 · 188 citations*
36. **[HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution ↗](https://arxiv.org/abs/2306.15794) arXiv (Cornell University) · no summary yet**Nguyen, Eric et al.*2023 · 184 citations*
37. **[Hyena Hierarchy: Towards Larger Convolutional Language Models ↗](https://arxiv.org/abs/2302.10866) arXiv:2302.10866 · no summary yet**Michael Poli et al.*2023 · 182 citations*
38. **[Bayesian Optimization of a Free-Electron Laser ↗](https://doi.org/10.1103/physrevlett.124.124801) Physical Review Letters · no summary yet**Joseph Duris et al.*2020 · 146 citations*
39. **[Solving Inverse Problems in Medical Imaging with Score-Based Generative Models ↗](https://arxiv.org/abs/2111.08005) arXiv (Cornell University) · no summary yet**Yang Sup Song et al.*2021 · 145 citations*
40. **[InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations ↗](https://arxiv.org/abs/1703.08840) arXiv (Cornell University) · no summary yet**Yunzhu Li, Jiaming Song, Stefano Ermon*2017 · 142 citations*
41. **[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*
42. **[Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks ↗](https://doi.org/10.1109/wacv45572.2020.9093564) IEEE Winter Conference on Applications of Computer Vision · no summary yet**Vishnu Sarukkai et al.*2020 · 125 citations*
43. **[Multi-Agent Generative Adversarial Imitation Learning ↗](https://arxiv.org/abs/1807.09936) arXiv (Cornell University) · no summary yet**Jiaming Song et al.*2018 · 124 citations*
44. **[Constructing Unrestricted Adversarial Examples with Generative Models ↗](https://arxiv.org/abs/1805.07894) arXiv (Cornell University) · no summary yet**Yang Song et al.*2018 · 123 citations*
45. **[Efficient Object Detection in Large Images Using Deep Reinforcement Learning ↗](https://doi.org/10.1109/wacv45572.2020.9093447) IEEE Winter Conference on Applications of Computer Vision · no summary yet**Burak Uzkent, Christopher Yeh, Stefano Ermon*2020 · 121 citations*
46. **[Towards Deeper Understanding of Variational Autoencoding Models ↗](https://arxiv.org/abs/1702.08658) arXiv (Cornell University) · no summary yet**Shengjia Zhao, Jiaming Song, Stefano Ermon*2017 · 119 citations*
47. **[Sliced Score Matching: A Scalable Approach to Density and Score Estimation ↗](https://arxiv.org/abs/1905.07088) arXiv (Cornell University) · no summary yet**Yang Sup Song et al.*2019 · 112 citations*
48. **[Disentangling Length from Quality in Direct Preference Optimization](https://md.research.elamur.ai/free/en/papers/park-2024-disentangling-length-quality-direct-preference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ryan Park, Rafael Rafailov, Stefano Ermon, et al.*2024 · 105 citations*
49. [**Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution arXiv:2310.16834**Aaron Lou, Chenlin Meng, Stefano Ermon*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/lou-2023-discrete-diffusion-modeling-estimating-ratios/)
50. **[Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods ↗](https://openalex.org/W2954664657) no summary yet**Rose Rustowicz et al.*2019 · 96 citations*
51. **[Generating Interpretable Poverty Maps using Object Detection in Satellite Images ↗](https://doi.org/10.24963/ijcai.2020/608) International Joint Conference on Artificial Intelligence · no summary yet**Kumar Ayush et al.*2020 · 95 citations*
52. **[Adversarial Examples for Natural Language Classification Problems ↗](https://openalex.org/W2785699986) no summary yet**Volodymyr Kuleshov et al.*2018 · 93 citations*
53. **[CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation ↗](https://arxiv.org/abs/2107.03502) arXiv (Cornell University) · no summary yet**Yusuke Tashiro et al.*2021 · 89 citations*
54. **[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*
55. **[Maximum Likelihood Training of Score-Based Diffusion Models ↗](https://arxiv.org/abs/2101.09258) arXiv (Cornell University) · no summary yet**Yang Sup Song et al.*2021 · 87 citations*
56. **[Predicting Economic Development using Geolocated Wikipedia Articles ↗](https://doi.org/10.1145/3292500.3330784) ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yet**Evan Sheehan et al.*2019 · 87 citations*
57. **[Learning Hierarchical Features from Deep Generative Models ↗](https://openalex.org/W2963664914) International Conference on Machine Learning · no summary yet**Shengjia Zhao, Jiaming Song, Stefano Ermon*2017 · 81 citations*
58. **[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*
59. **[A-NICE-MC: Adversarial Training for MCMC ↗](https://arxiv.org/abs/1706.07561) arXiv (Cornell University) · no summary yet**Jiaming Song, Shengjia Zhao, Stefano Ermon*2017 · 80 citations*
60. **[A Theory of Usable Information Under Computational Constraints ↗](https://arxiv.org/abs/2002.10689) arXiv (Cornell University) · no summary yet**Yilun Xu et al.*2020 · 78 citations*
61. **[Holistic Evaluation of Text-to-Image Models ↗](https://doi.org/10.52202/075280-3067) neural information processing systems · no summary yet**Tony Lee et al.*2023 · 77 citations*
62. **[Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion ↗](https://arxiv.org/abs/2310.02279) arXiv (Cornell University) · no summary yet**Dongjun Kim et al.*2023 · 76 citations*
63. **[Learning When and Where to Zoom With Deep Reinforcement Learning ↗](https://doi.org/10.1109/cvpr42600.2020.01236) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Burak Uzkent, Stefano Ermon*2020 · 76 citations*
64. **[Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ↗](https://arxiv.org/abs/1302.6677) arXiv (Cornell University) · no summary yet**Stefano Ermon et al.*2013 · 76 citations*
65. **[HIVE: Harnessing Human Feedback for Instructional Visual Editing ↗](https://doi.org/10.1109/cvpr52733.2024.00862) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Shu Zhang et al.*2024 · 74 citations*
66. **[Weakly Supervised Disentanglement with Guarantees ↗](https://arxiv.org/abs/1910.09772) arXiv (Cornell University) · no summary yet**Rui Shu et al.*2019 · 74 citations*
67. **[Learning Controllable Fair Representations ↗](https://arxiv.org/abs/1812.04218) arXiv (Cornell University) · no summary yet**Jiaming Song et al.*2018 · 70 citations*
68. **[Bias and Generalization in Deep Generative Models: An Empirical Study ↗](https://arxiv.org/abs/1811.03259) arXiv (Cornell University) · no summary yet**Shengjia Zhao et al.*2018 · 70 citations*
69. **[Amortized Inference Regularization ↗](https://arxiv.org/abs/1805.08913) arXiv (Cornell University) · no summary yet**Rui Shu et al.*2018 · 68 citations*
70. **[Reparameterizable Subset Sampling via Continuous Relaxations ↗](https://doi.org/10.24963/ijcai.2019/544) International Joint Conference on Artificial Intelligence · no summary yet**Sang Michael Xie, Stefano Ermon*2019 · 67 citations*
71. **[Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channel ↗](https://doi.org/10.1039/c8sm02054j) Soft Matter · no summary yet**Jian Wei Khor et al.*2018 · 66 citations*
72. **[Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model ↗](https://doi.org/10.1109/tpami.2024.3475824) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Zhuo Zheng et al.*2024 · 64 citations*
73. **[Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning ↗](https://doi.org/10.1145/3219819.3219924) ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yet**Barak Oshri et al.*2018 · 63 citations*
74. **[Embed and Project: Discrete Sampling with Universal Hashing ↗](https://openalex.org/W2112904372) no summary yet**Stefano Ermon et al.*2013 · 62 citations*
75. **[Multi-Agent Adversarial Inverse Reinforcement Learning ↗](https://arxiv.org/abs/1907.13220) arXiv (Cornell University) · no summary yet**Lantao Yu, Jiaming Song, Stefano Ermon*2019 · 60 citations*
76. **[Low-density Parity Constraints for Hashing-Based Discrete Integration ↗](https://openalex.org/W2171035569) no summary yet**Stefano Ermon et al.*2014 · 60 citations*
77. **[GeoLLM: Extracting Geospatial Knowledge from Large Language Models ↗](https://arxiv.org/abs/2310.06213) arXiv:2310.06213 · no summary yet**Rohin Manvi et al.*2023 · 58 citations*
78. **[Farm Parcel Delineation Using Spatio-temporal Convolutional Networks ↗](https://doi.org/10.1109/cvprw50498.2020.00046) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Han Lin Aung et al.*2020 · 58 citations*
79. **[Learning Neural PDE Solvers with Convergence Guarantees ↗](https://arxiv.org/abs/1906.01200) arXiv (Cornell University) · no summary yet**Jun-Ting Hsieh et al.*2019 · 56 citations*
80. **[Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ↗](https://arxiv.org/abs/2404.14367) arXiv (Cornell University) · no summary yet**Fahim Tajwar et al.*2024 · 54 citations*
81. **[Towards general-purpose representation learning of polygonal geometries ↗](https://doi.org/10.1007/s10707-022-00481-2) GeoInformatica · no summary yet**Gengchen Mai et al.*2022 · 53 citations*
82. **[Scalable deep learning to identify brick kilns and aid regulatory capacity ↗](https://doi.org/10.1073/pnas.2018863118) Proceedings of the National Academy of Sciences · no summary yet**Jihyeon Lee et al.*2021 · 53 citations*
83. **[Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning ↗](https://arxiv.org/abs/1711.03654) arXiv (Cornell University) · no summary yet**Anthony Perez et al.*2017 · 53 citations*
84. **[Diversity can be Transferred: Output Diversification for White- and Black-box Attacks ↗](https://arxiv.org/abs/2003.06878) arXiv (Cornell University) · no summary yet**Yusuke Tashiro, Yang Song, Stefano Ermon*2020 · 51 citations*
85. **[Feature-Enhanced Probabilistic Models for Diffusion Network Inference ↗](https://doi.org/10.1007/978-3-642-33486-3_32) Lecture notes in computer science · no summary yet**Liaoruo Wang, Stefano Ermon, John E. Hopcroft*2012 · 50 citations*
86. **[Targeted materials discovery using Bayesian algorithm execution ↗](https://doi.org/10.1038/s41524-024-01326-2) npj Computational Materials · no summary yet**Sathya R. Chitturi et al.*2024 · 48 citations*
87. **[Parallel Sampling of Diffusion Models ↗](https://doi.org/10.52202/075280-0188) neural information processing systems · no summary yet**Andy Shih et al.*2023 · 48 citations*
88. **[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*
89. **[Sphere2Vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions ↗](https://doi.org/10.1016/j.isprsjprs.2023.06.016) ISPRS Journal of Photogrammetry and Remote Sensing · no summary yet**Gengchen Mai et al.*2023 · 47 citations*
90. **[End-to-End Diffusion Latent Optimization Improves Classifier Guidance ↗](https://doi.org/10.1109/iccv51070.2023.00669) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Bram Wallace et al.*2023 · 47 citations*
91. **[Efficient Poverty Mapping from High Resolution Remote Sensing Images ↗](https://doi.org/10.1609/aaai.v35i1.16072) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Kumar Ayush et al.*2021 · 47 citations*
92. **[D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation ↗](https://openalex.org/W3212280254) neural information processing systems · no summary yet**Abhishek Sinha et al.*2021 · 47 citations*
93. **[Understanding the Limitations of Variational Mutual Information Estimators ↗](https://arxiv.org/abs/1910.06222) arXiv (Cornell University) · no summary yet**Jiaming Song, Stefano Ermon*2019 · 47 citations*
94. **[Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance ↗](https://arxiv.org/abs/1805.10407) arXiv (Cornell University) · no summary yet**Neal Jean, Sang Michael Xie, Stefano Ermon*2018 · 47 citations*
95. **[Large Language Models are Geographically Biased ↗](https://arxiv.org/abs/2402.02680) arXiv:2402.02680 · no summary yet**Rohin Manvi et al.*2024 · 46 citations*
96. **[Sparse Gaussian processes for Bayesian optimization ↗](https://openalex.org/W2571670780) Uncertainty in Artificial Intelligence · no summary yet**Mitchell McIntire, Daniel F. Ratner, Stefano Ermon*2016 · 45 citations*
97. **[Geometric Latent Diffusion Models for 3D Molecule Generation ↗](https://arxiv.org/abs/2305.01140) arXiv (Cornell University) · no summary yet**Minkai Xu et al.*2023 · 43 citations*
98. **[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*
99. **[Model-Free Imitation Learning with Policy Optimization ↗](https://arxiv.org/abs/1605.08478) arXiv (Cornell University) · no summary yet**Jonathan Ho, Jayesh K. Gupta, Stefano Ermon*2016 · 43 citations*
100. **[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*

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