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Improving Compositionality of Neural Networks by Decoding Representations to Inputs

Jun 01, 2021
Mike Wu, Noah Goodman, Stefano Ermon

* 9 pages content; 2 pages appendix 

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Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information

Apr 19, 2021
Willie Neiswanger, Ke Alexander Wang, Stefano Ermon

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On the Critical Role of Conventions in Adaptive Human-AI Collaboration

Apr 07, 2021
Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh

* 9th International Conference on Learning Representations (ICLR 2021) 

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Improved Autoregressive Modeling with Distribution Smoothing

Mar 28, 2021
Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon

* ICLR 2021 (Oral) 

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Anytime Sampling for Autoregressive Models via Ordered Autoencoding

Feb 23, 2021
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon

* Accepted by ICLR 2021 

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Localized Calibration: Metrics and Recalibration

Feb 22, 2021
Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon

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Neural Network Compression for Noisy Storage Devices

Feb 15, 2021
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H. -S. Philip Wong, Armin Alaghi

* 19 pages, 9 figures 

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Negative Data Augmentation

Feb 09, 2021
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

* Accepted at ICLR 2021 

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Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients

Jan 02, 2021
Chris Cundy, Stefano Ermon

* 8 pages; figure/table formatting fixed 

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PiRank: Learning To Rank via Differentiable Sorting

Dec 12, 2020
Robin Swezey, Aditya Grover, Bruno Charron, Stefano Ermon

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Efficient Conditional Pre-training for Transfer Learning

Dec 10, 2020
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon

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Geography-Aware Self-Supervised Learning

Dec 02, 2020
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David Lobell, Stefano Ermon

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Score-Based Generative Modeling through Stochastic Differential Equations

Nov 26, 2020
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

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Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration

Nov 15, 2020
Shengjia Zhao, Stefano Ermon

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Autoregressive Score Matching

Oct 24, 2020
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon

* NeurIPS 2020 

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Probabilistic Circuits for Variational Inference in Discrete Graphical Models

Oct 22, 2020
Andy Shih, Stefano Ermon

* In Advances in Neural Information Processing Systems 34 (NeurIPS), 2020 

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Imitation with Neural Density Models

Oct 19, 2020
Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon

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Denoising Diffusion Implicit Models

Oct 06, 2020
Jiaming Song, Chenlin Meng, Stefano Ermon

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Understanding Classifier Mistakes with Generative Models

Oct 05, 2020
Laëtitia Shao, Yang Song, Stefano Ermon

* 17 pages, 10 figures. Submitted to ICLR2021 

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Using satellite imagery to understand and promote sustainable development

Sep 23, 2020
Marshall Burke, Anne Driscoll, David B. Lobell, Stefano Ermon

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Privacy Preserving Recalibration under Domain Shift

Aug 21, 2020
Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese

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HiPPO: Recurrent Memory with Optimal Polynomial Projections

Aug 17, 2020
Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Re

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Multi-label Contrastive Predictive Coding

Jul 20, 2020
Jiaming Song, Stefano Ermon

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Efficient Learning of Generative Models via Finite-Difference Score Matching

Jul 07, 2020
Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu

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Individual Calibration with Randomized Forecasting

Jul 05, 2020
Shengjia Zhao, Tengyu Ma, Stefano Ermon

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Belief Propagation Neural Networks

Jul 01, 2020
Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon

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Unsupervised Calibration under Covariate Shift

Jun 29, 2020
Anusri Pampari, Stefano Ermon

* Submitted to Conference on Uncertainty in Artificial Intelligence (UAI 2020) 

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