עקוב אחר
Balaji Lakshminarayanan
Balaji Lakshminarayanan
Senior Staff Research Scientist at Google DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Simple and scalable predictive uncertainty estimation using deep ensembles‏
B Lakshminarayanan, A Pritzel, C Blundell‏
Advances in Neural Information Processing Systems, 6393-6395, 2017‏
65472017
Clinically applicable deep learning for diagnosis and referral in retinal disease‏
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...‏
Nature medicine 24 (9), 1342-1350, 2018‏
24872018
Gemini: A family of highly capable multimodal models‏
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...‏
arXiv preprint arXiv:2312.11805, 2023‏
21462023
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift‏
Y Ovadia, E Fertig, J Ren, Z Nado, D Sculley, S Nowozin, JV Dillon, ...‏
NeurIPS 2019, 2019‏
19092019
Normalizing Flows for Probabilistic Modeling and Inference‏
G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ...‏
Journal of Machine Learning Research 22 (57), 1-64, 2021‏
18292021
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty‏
D Hendrycks, N Mu, ED Cubuk, B Zoph, J Gilmer, B Lakshminarayanan‏
ICLR 2020, 2020‏
14522020
Do Deep Generative Models Know What They Don't Know?‏
E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan‏
ICLR 2019, 2019‏
8402019
Likelihood ratios for out-of-distribution detection‏
J Ren, PJ Liu, E Fertig, J Snoek, R Poplin, M Depristo, J Dillon, ...‏
NeurIPS 2019, 14707-14718, 2019‏
7862019
Deep Ensembles: A Loss Landscape Perspective‏
S Fort, H Hu, B Lakshminarayanan‏
arXiv preprint arXiv:1912.02757, 2019‏
6872019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context‏
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...‏
arXiv preprint arXiv:2403.05530, 2024‏
675*2024
Learning in Implicit Generative Models‏
S Mohamed, B Lakshminarayanan‏
arXiv preprint arXiv:1610.03483, 2016‏
4982016
Simple and principled uncertainty estimation with deterministic deep learning via distance awareness‏
J Liu, Z Lin, S Padhy, D Tran, T Bedrax Weiss, B Lakshminarayanan‏
Advances in Neural Information Processing Systems 33, 2020‏
4882020
The Cramer Distance as a Solution to Biased Wasserstein Gradients‏
MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...‏
arXiv preprint arXiv:1705.10743, 2017‏
4352017
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach‏
F Briggs, B Lakshminarayanan, L Neal, XZ Fern, R Raich, SJK Hadley, ...‏
The Journal of the Acoustical Society of America 131 (6), 4640-4650, 2012‏
3612012
Exploring the limits of out-of-distribution detection‏
S Fort, J Ren, B Lakshminarayanan‏
Advances in Neural Information Processing Systems 34, 2021‏
3552021
Variational Approaches for Auto-Encoding Generative Adversarial Networks‏
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed‏
arXiv preprint arXiv:1706.04987, 2017‏
3372017
Mondrian forests: Efficient online random forests‏
B Lakshminarayanan, DM Roy, YW Teh‏
Advances in neural information processing systems 27, 3140-3148, 2014‏
2902014
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step‏
W Fedus, M Rosca, B Lakshminarayanan, AM Dai, S Mohamed, ...‏
ICLR 2018, 2018‏
2682018
Efficient and scalable bayesian neural nets with rank-1 factors‏
M Dusenberry, G Jerfel, Y Wen, Y Ma, J Snoek, K Heller, ...‏
International conference on machine learning, 2782-2792, 2020‏
2422020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift‏
Z Nado, S Padhy, D Sculley, A D'Amour, B Lakshminarayanan, J Snoek‏
arXiv preprint arXiv:2006.10963, 2020‏
2392020
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מאמרים 1–20