Nathaniel Diamant

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All published works

Action	Title	Year	Authors
+ PDF Chat	Feedback Efficient Online Fine-Tuning of Diffusion Models	2024	Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia Nathaniel Diamant Alex M. Tseng Sergey Levine Tommaso Biancalani
+ PDF Chat	Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control	2024	Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia Nathaniel Diamant Alex M. Tseng Tommaso Biancalani Sergey Levine
+	Improving Graph Generation by Restricting Graph Bandwidth	2023	Nathaniel Diamant Alex M. Tseng Kangway V. Chuang Tommaso Biancalani Gabriele Scalia
+	GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion	2023	Alex M. Tseng Nathaniel Diamant Tommaso Biancalani Gabriele Scalia
+	Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion	2023	Alex M. Tseng Nathaniel Diamant Tommaso Biancalani Gabriele Scalia
+	Conformalized Deep Splines for Optimal and Efficient Prediction Sets	2023	Nathaniel Diamant Ehsan Hajiramezanali Tommaso Biancalani Gabriele Scalia
+ PDF Chat	Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling	2022	Nathaniel Diamant Erik Reinertsen Steven Song Aaron D. Aguirre Collin M. Stultz Puneet Batra
+	Conditional Diffusion with Less Explicit Guidance via Model Predictive Control	2022	Max W. Shen Ehsan Hajiramezanali Gabriele Scalia Alex Tseng Nathaniel Diamant Tommaso Biancalani Andreas Loukas
+	Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling.	2021	Nathaniel Diamant Erik Reinertsen Steven Song Aaron D. Aguirre Collin M. Stultz Puneet Batra

Common Coauthors

Coauthor	Papers Together
Gabriele Scalia	7
Tommaso Biancalani	7
Alex M. Tseng	5
Ehsan Hajiramezanali	4
Sergey Levine	2
Erik Reinertsen	2
Kevin Black	2
Aaron D. Aguirre	2
Puneet Batra	2
Collin M. Stultz	2
Steven Song	2
Yulai Zhao	2
Masatoshi Uehara	2
Kangway V. Chuang	1
Alex Tseng	1
Max W. Shen	1
Andreas Loukas	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Automatic diagnosis of the 12-lead ECG using a deep neural network	2020	Antônio H. Ribeiro Antônio H. Ribeiro Gabriela M. M. Paixão Derick M. Oliveira Paulo R. Gomes Jéssica A. Canazart Milton P. Ferreira Carl R. Andersson Peter W. Macfarlane Wagner Meira	2
+ PDF Chat	Revisiting Self-Supervised Visual Representation Learning	2019	Alexander Kolesnikov Xiaohua Zhai Lucas Beyer	2
+ PDF Chat	Big Self-Supervised Models Advance Medical Image Classification	2021	Shekoofeh Azizi Basil Mustafa Fiona Ryan Zachary Beaver Jan Freyberg Jonathan Deaton Aaron Loh Alan Karthikesalingam Simon Kornblith Ting Chen	2
+ PDF Chat	Self-supervised Learning for Spinal MRIs	2017	Amir Jamaludin Timor Kadir Andrew Zisserman	1
+	Self-Supervised Learning for Spinal MRIs	2017	Amir Jamaludin Timor Kadir Andrew Zisserman	1
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	1
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	1
+	Contrastive Learning of Medical Visual Representations from Paired Images and Text	2020	Yuhao Zhang Hang Jiang Yasuhide Miura Christopher D. Manning Curtis P. Langlotz	1
+	CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients	2020	Dani Kiyasseh Tingting Zhu David A. Clifton	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+	Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks	2017	Pranav Rajpurkar Awni Hannun Masoumeh Haghpanahi Codie Bourn Andrew Y. Ng	1