Balaji Lakshminarayanan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2009–2023

Best venue rank

Where they publish

Papers

20 indexed papers, newest first.

Year	Venue	Title	Authors
2023	CVPR	Improving Zero-shot Generalization and Robustness of Multi-Modal Models.	Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao
2023	EMNLP	Improving the Robustness of Summarization Models by Detecting and Removing Input Noise.	Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu
2023	ICLR	Out-of-Distribution Detection and Selective Generation for Conditional Language Models.	Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu
2023	ICLR	Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play.	Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran
2023	ICML	A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models.	James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan
2021	AISTATS	Density of States Estimation for Out of Distribution Detection.	Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon
2021	ICLR	Training independent subnetworks for robust prediction.	Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew Mingbo Dai, Dustin Tran
2021	ICLR	Combining Ensembles and Data Augmentation Can Harm Your Calibration.	Yeming Wen, Ghassen Jerfel, Rafael Muller, Michael W. Dusenberry, Jasper Snoek, Balaji Lakshminarayanan, Dustin Tran
2020	ICLR	AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.	Dan Hendrycks, Norman Mu, Ekin Dogus Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan
2020	ICML	Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.	Michael Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran
2019	ICLR	Do Deep Generative Models Know What They Don't Know?	Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Grr, Balaji Lakshminarayanan
2019	ICML	Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems.	Timothy A. Mann, Sven Gowal, Andrs Gyrgy, Huiyi Hu, Ray Jiang, Balaji Lakshminarayanan, Prav Srinivasan
2019	ICML	Hybrid Models with Deep and Invertible Features.	Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Grr, Balaji Lakshminarayanan
2018	ICLR	Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.	William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow
2016	AISTATS	Mondrian Forests for Large-Scale Regression when Uncertainty Matters.	Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
2016	UAI	The Mondrian Kernel.	Matej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh
2015	AISTATS	Particle Gibbs for Bayesian Additive Regression Trees.	Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
2015	UAI	Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages.	Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltn Szab
2013	ICML	Top-down particle filtering for Bayesian decision trees.	Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
2009	ICMLA	A Syllable-Level Probabilistic Framework for Bird Species Identification.	Balaji Lakshminarayanan, Raviv Raich, Xiaoli Z. Fern