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Balaji Lakshminarayanan · SciRah

Researcher profile · Semantic Scholar

Balaji Lakshminarayanan

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Balaji Lakshminarayanan — researcher profile on SciRah

h-index: 46
Works: 91
Citations: 37K

Most-cited papers

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan, A. Pritzel, C. Blundell
2016Neural Information Processing Systems8,957 citations
Semantic Scholar
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, E. Bieber, Mike Schaekermann, Ice Pasupat +496 more
2025arXiv.org4,448 citations
Semantic Scholar
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Machel Reid, N. Savinov, Denis Teplyashin, Dmitry Lepikhin +496 more
2024arXiv.org4,129 citations
Semantic Scholar
Normalizing Flows for Probabilistic Modeling and Inference
G. Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, S. Mohamed +1 more
2019Journal of machine learning research2,594 citations
Semantic Scholar
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Y. Ovadia, Emily Fertig, Jie Jessie Ren, Zachary Nado +5 more
2019Neural Information Processing Systems2,582 citations
Semantic Scholar
Clinically applicable deep learning for diagnosis and referral in retinal disease
Jeffrey De Fauw, J. Ledsam, B. Romera-Paredes, Stanislav Nikolov +30 more
2018Nature Medicine2,505 citations
Semantic Scholar
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks, Norman Mu, E. Cubuk, Barret Zoph +2 more
2019International Conference on Learning Representations1,706 citations
Semantic Scholar
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick, Akihiro Matsukawa, Y. Teh, Dilan Görür +1 more
2018International Conference on Learning Representations918 citations
Semantic Scholar
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek +4 more
2019Neural Information Processing Systems868 citations
Semantic Scholar
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan
2019arXiv.org809 citations
Semantic Scholar
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy, Dustin Tran +2 more
2020Neural Information Processing Systems612 citations
Semantic Scholar
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort, Jie Jessie Ren, Balaji Lakshminarayanan
2021Neural Information Processing Systems446 citations
Semantic Scholar
Learning in Implicit Generative Models
S. Mohamed, Balaji Lakshminarayanan
2016arXiv.org446 citations
Semantic Scholar
The Cramer Distance as a Solution to Biased Wasserstein Gradients
Marc G. Bellemare, I. Danihelka, Will Dabney, S. Mohamed +3 more
2017arXiv.org412 citations
Semantic Scholar
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado, Shreyas Padhy, D. Sculley, A. D'Amour +2 more
2020arXiv.org356 citations
Semantic Scholar
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
Jie Jessie Ren, Stanislav Fort, J. Liu, A. Roy +2 more
2021arXiv.org332 citations
Semantic Scholar
Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach.
Forrest Briggs, Balaji Lakshminarayanan, Lawrence Neal, Xiaoli Z. Fern +4 more
2012Journal of the Acoustical Society of America320 citations
Semantic Scholar
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, S. Mohamed
2017arXiv.org288 citations
Semantic Scholar
Training independent subnetworks for robust prediction
Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu +4 more
2020International Conference on Learning Representations251 citations
Semantic Scholar
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna +3 more
2022International Conference on Learning Representations247 citations Open access
Semantic Scholar
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma +4 more
2020International Conference on Machine Learning247 citations
Semantic Scholar
Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan, Daniel M. Roy, Y. Teh
2014Neural Information Processing Systems240 citations
Semantic Scholar
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W. Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai +2 more
2017International Conference on Learning Representations220 citations
Semantic Scholar
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du, W. Czarnecki, Siddhant M. Jayakumar, Razvan Pascanu +1 more
2018arXiv.org203 citations
Semantic Scholar
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality
Eric T. Nalisnick, Akihiro Matsukawa, Y. Teh, Balaji Lakshminarayanan
2019181 citations
Semantic Scholar
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran, J. Liu, Michael W. Dusenberry, Du Phan +22 more
2022arXiv.org150 citations Open access
Semantic Scholar
Bayesian Deep Ensembles via the Neural Tangent Kernel
B. He, Balaji Lakshminarayanan, Y. Teh
2020Neural Information Processing Systems137 citations
Semantic Scholar
Soft Calibration Objectives for Neural Networks
A. Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan +3 more
2021Neural Information Processing Systems131 citations
Semantic Scholar
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
A. Roy, Jie Jessie Ren, Shekoofeh Azizi, Aaron Loh +17 more
2021Medical Image Anal.124 citations Open access
Semantic Scholar
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
Zachary Nado, Neil Band, Mark Collier, J. Djolonga +22 more
2021arXiv.org116 citations
Semantic Scholar
Density of States Estimation for Out-of-Distribution Detection
W. Morningstar, Cusuh Ham, Andrew Gallagher, Balaji Lakshminarayanan +2 more
2020International Conference on Artificial Intelligence and Statistics111 citations
Semantic Scholar
Hybrid Models with Deep and Invertible Features
Eric T. Nalisnick, Akihiro Matsukawa, Y. Teh, Dilan Görür +1 more
2019International Conference on Machine Learning107 citations
Semantic Scholar
Distribution Matching in Variational Inference
Mihaela Rosca, Balaji Lakshminarayanan, S. Mohamed
2018arXiv.org107 citations
Semantic Scholar
Self-Evaluation Improves Selective Generation in Large Language Models
Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu +1 more
2023ICBINB106 citations
Semantic Scholar
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu, Shreyas Padhy, Jie Jessie Ren, Zi Lin +6 more
2022Journal of machine learning research95 citations Open access
Semantic Scholar
Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality
Eric T. Nalisnick, Akihiro Matsukawa, Y. Teh, Balaji Lakshminarayanan
2019arXiv.org86 citations
Semantic Scholar
Combining Ensembles and Data Augmentation can Harm your Calibration
Yeming Wen, Ghassen Jerfel, Rafael Muller, Michael W. Dusenberry +3 more
2020International Conference on Learning Representations76 citations
Semantic Scholar
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
Leonard Hasenclever, Stefan Webb, Thibaut Lienart, S. Vollmer +3 more
2015Journal of machine learning research74 citations
Semantic Scholar
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
J. Allingham, Jie Ren, Michael W. Dusenberry, J. Liu +4 more
2023International Conference on Machine Learning72 citations Open access
Semantic Scholar
Improving Zero-shot Generalization and Robustness of Multi-Modal Models
Yun-Hao Ge, Jie Jessie Ren, Andrew Gallagher, Yu-Xiao Wang +5 more
2022Computer Vision and Pattern Recognition70 citations Open access
Semantic Scholar
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan +2 more
2021Neural Information Processing Systems70 citations Open access
Semantic Scholar
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, C. Archambeau
2011International Conference on Artificial Intelligence and Statistics63 citations
Semantic Scholar
Mondrian Forests for Large-Scale Regression when Uncertainty Matters
Balaji Lakshminarayanan, Daniel M. Roy, Y. Teh
2015International Conference on Artificial Intelligence and Statistics61 citations
Semantic Scholar
Distributed Bayesian Posterior Sampling via Moment Sharing
Minjie Xu, Balaji Lakshminarayanan, Y. Teh, Jun Zhu +1 more
2014Neural Information Processing Systems57 citations
Semantic Scholar
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
I. Danihelka, Balaji Lakshminarayanan, Benigno Uria, D. Wierstra +1 more
2017arXiv.org55 citations
Semantic Scholar
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
Shreyas Padhy, Zachary Nado, Jie Jessie Ren, J. Liu +2 more
2020arXiv.org49 citations
Semantic Scholar
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
Kehang Han, Balaji Lakshminarayanan, J. Liu
2021arXiv.org42 citations
Semantic Scholar
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach
Balaji Lakshminarayanan, Y. Teh
2013arXiv.org36 citations
Semantic Scholar
Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel M. Roy, Y. Teh
2013International Conference on Machine Learning35 citations
Semantic Scholar
New DRASTIC framework for groundwater vulnerability assessment: bivariate and multi-criteria decision-making approach coupled with metaheuristic algorithm
Balaji Lakshminarayanan, S. Ramasamy, S. Anuthaman, S. Karuppanan
2021Environmental science and pollution research international33 citations
Semantic Scholar

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