Lakshminarayanan, Balaji
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1358 citations
#cs.CL #cs.AI
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 543 citations
Computer Science · #Semantic Web and Ontologies
- Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
2016/12/05 by Balaji Lakshminarayanan, Lakshminarayanan, Balaji, Alexander Pritzel +3 · 460 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
2019/06/06 by Yaniv Ovadia, Ovadia, Yaniv, Emily Fertig +15 · 112 citations
Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications
- Do Deep Generative Models Know What They Don't Know?
2018/10/22 by Eric Nalisnick, Nalisnick, Eric, Akihiro Matsukawa +8 · 1 voice · 27 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Generative Adversarial Networks and Image Synthesis #cs.LG #stat.ML
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
2019/12/05 by Hendrycks, Dan, Mu, Norman, Cubuk, Ekin D. +3 · 48 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Training independent subnetworks for robust prediction
2020/10/13 by Marton Havasi, Havasi, Marton, Rodolphe Jenatton +13 · 2 voices · 9 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #cs.CV #cs.LG #stat.ML
- Deep Ensembles: A Loss Landscape Perspective
2019/12/05 by Stanislav Fort, Huiyi Hu, Fort, Stanislav +3 · 34 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
2020/06/17 by Liu, Jeremiah Zhe, Lin, Zi, Padhy, Shreyas +3 · 30 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Likelihood Ratios for Out-of-Distribution Detection
2019/06/07 by Jie Ren, Ren, Jie, Peter J. Liu +13 · 21 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics
- Exploring the Limits of Out-of-Distribution Detection
2021/06/06 by Stanislav Fort, Jie Ren, Fort, Stanislav +3 · 23 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Out-of-Distribution Detection and Selective Generation for Conditional Language Models
2022/09/30 by Jie Ren, Jiaming Luo, Ren, Jie +11 · 26 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning and Data Classification
- A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
2021/06/16 by Jie Ren, Ren, Jie, Stanislav Fort +9 · 22 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
- Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
2020/06/19 by Nado, Zachary, Padhy, Shreyas, Sculley, D. +3 · 16 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Cramer Distance as a Solution to Biased Wasserstein Gradients
2017/05/30 by Marc G. Bellemare, Bellemare, Marc G., Ivo Danihelka +11 · 13 citations
Mathematics · #FOS: Computer and information sciences #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Analysis and Transform Methods #Point processes and geometric inequalities
- Learning in Implicit Generative Models
2016/10/11 by Shakir Mohamed, Balaji Lakshminarayanan, Mohamed, Shakir +1 · 20 citations
Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
- Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
2020/05/14 by Michael W. Dusenberry, Dusenberry, Michael W., Ghassen Jerfel +13 · 15 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
- Self-Evaluation Improves Selective Generation in Large Language Models
2023/12/14 by Jie Ren, Yao Zhao, Ren, Jie +7 · 14 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
- Adapting Auxiliary Losses Using Gradient Similarity
2018/12/05 by Yunshu Du, Wojciech Marian Czarnecki, Du, Yunshu +8 · 9 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Gemini: A Family of Highly Capable Multimodal Models
2023/12/19 by Gemini Team, Rohan Anil, Anil, Rohan +2682 · 9 voices
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
- Improving Zero-shot Generalization and Robustness of Multi-modal Models
2022/12/04 by Yunhao Ge, Ge, Yunhao, Jie Ren +15 · 7 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Plex: Towards Reliability using Pretrained Large Model Extensions
2022/07/15 by Dustin Tran, Jeremiah Liu, Tran, Dustin +49 · 7 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
- Density of States Estimation for Out-of-Distribution Detection
2020/06/16 by Warren R. Morningstar, Cusuh Ham, Morningstar, Warren R. +9 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
2021/06/07 by Zachary Nado, Nado, Zachary, Neil Band +49 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Soft Calibration Objectives for Neural Networks
2021/07/30 by Archit Karandikar, Karandikar, Archit, Nicholas Cain +11 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
2023/02/13 by Allingham, James Urquhart, Ren, Jie, Dusenberry, Michael W +5 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Variational Approaches for Auto-Encoding Generative Adversarial Networks
2017/06/15 by Mihaela Rosca, Balaji Lakshminarayanan, Rosca, Mihaela +5 · 5 citations
Computer Science · Physics and Astronomy · #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Bayesian Deep Ensembles via the Neural Tangent Kernel
2020/07/11 by Bobby He, Balaji Lakshminarayanan, He, Bobby +3 · 6 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis
- A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
2022/05/01 by Jeremiah Zhe Liu, Shreyas Padhy, Liu, Jeremiah Zhe +17 · 4 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
2017/10/23 by William Fedus, Fedus, William, Mihaela Rosca +9 · 4 citations
Economics, Econometrics and Finance · Energy · #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Global Energy and Sustainability Research #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Market Dynamics and Volatility
- Distribution Matching in Variational Inference
2018/02/19 by Mihaela Rosca, Balaji Lakshminarayanan, Rosca, Mihaela +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Topic Modeling
- The Mondrian Kernel
2016/06/16 by Balog, Matej, Lakshminarayanan, Balaji, Ghahramani, Zoubin +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Hybrid Models with Deep and Invertible Features
2019/02/07 by Nalisnick, Eric, Matsukawa, Akihiro, Teh, Yee Whye +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Combining Ensembles and Data Augmentation can Harm your Calibration
2020/10/19 by Yeming Wen, Wen, Yeming, Ghassen Jerfel +11 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Task-agnostic Continual Learning with Hybrid Probabilistic Models
2021/06/24 by Polina Kirichenko, Kirichenko, Polina, Mehrdad Farajtabar +15 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
- Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
2021/10/15 by Qin, Yao, Zhang, Chiyuan, Chen, Ting +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
2021/11/25 by Kehang Han, Balaji Lakshminarayanan, Han, Kehang +3 · 1 citation
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel
2023/02/22 by Yao Qin, Qin, Yao, Xuezhi Wang +7 · 1 citation
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Deep Classifiers with Label Noise Modeling and Distance Awareness
2021/10/06 by Fortuin, Vincent, Collier, Mark, Wenzel, Florian +7 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
2024/08/08 by Stanislav Fort, Balaji Lakshminarayanan, Fort, Stanislav +1 · 1 voice · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #cs.CV #cs.LG