Lundberg, Scott
- Sparks of Artificial General Intelligence: Early experiments with GPT-4
2023/03/22 by Sébastien Bubeck, Varun Chandrasekaran, Bubeck, Sébastien +26 · 21 voices · 305 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Topic Modeling #Machine Learning in Healthcare
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1385 citations
#cs.CL #cs.AI
- A Unified Approach to Interpreting Model Predictions
2017/05/22 by Scott Lundberg, Su-In Lee, Su‐In Lee +2 · 1 voice · 987 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.AI #cs.LG #stat.ML
- Sequential Diagnosis with Language Models
2025/06/27 by Harsha Nori, Mayank Daswani, Nori, Harsha +29 · 15 voices · 19 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Clinical Reasoning and Diagnostic Skills #Machine Learning in Healthcare #cs.CL
- Explaining by Removing: A Unified Framework for Model Explanation
2020/11/21 by Ian Covert, Scott Lundberg, Covert, Ian +3 · 30 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- ART: Automatic multi-step reasoning and tool-use for large language models
2023/03/16 by Bhargavi Paranjape, Scott Lundberg, Paranjape, Bhargavi +9 · 15 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- True to the Model or True to the Data?
2020/06/29 by Hugh Chen, Joseph D. Janizek, Chen, Hugh +5 · 13 citations
Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference #Statistical Methods and Inference
- Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
2020/10/27 by Jiaxuan Wang, Jenna Wiens, Wang, Jiaxuan +3 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Checkpoint Ensembles: Ensemble Methods from a Single Training Process
2017/10/09 by Chen, Hugh, Lundberg, Scott, Lee, Su-In · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fixing Model Bugs with Natural Language Patches
2022/11/07 by Murty, Shikhar, Manning, Christopher D., Lundberg, Scott +1 · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Explaining Models by Propagating Shapley Values of Local Components
2019/11/27 by Chen, Hugh, Lundberg, Scott, Lee, Su-In · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Adaptive Testing of Computer Vision Models
2022/12/06 by Irena Gao, Gao, Irena, Gabriel Ilharco +5 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data
2018/01/23 by Hugh Chen, Chen, Hugh, Scott Lundberg +3 · 1 citation
Computer Science · Health Professions · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
- Improving performance of deep learning models with axiomatic attribution priors and expected gradients
2019/06/25 by Erion, Gabriel, Janizek, Joseph D., Sturmfels, Pascal +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- An unexpected unity among methods for interpreting model predictions
2016/11/22 by Scott Lundberg, Lundberg, Scott, Su‐In Lee +1 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification