Ashesh Rambachan
- Evaluating the World Model Implicit in a Generative Model
2024/06/06 by Keyon Vafa, Justin Y. Chen, Vafa, Keyon +7 · 18 voices · 28 citations
#cs.CL #cs.AI
- What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
2025/07/09 by Keyon Vafa, Vafa, Keyon, Peter G. Chang +5 · 17 voices · 14 citations
Computer Science · Physics and Astronomy · #Historical Astronomy and Related Studies #Multimodal Machine Learning Applications #Time Series Analysis and Forecasting #cs.AI #cs.LG
- A More Credible Approach to Parallel Trends
2023/02/15 by Ashesh Rambachan, Jonathan Roth · 51 citations
Mathematics · Social Sciences · #Advanced Causal Inference Techniques #School Choice and Performance #Statistical Methods and Inference
- Large Language Models: An Applied Econometric Framework
2024/12/09 by Jens Ludwig, Ludwig, Jens, Sendhil Mullainathan +3 · 1 voice · 12 citations
#econ.EM #cs.AI
- Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
2024/06/03 by Keyon Vafa, Vafa, Keyon, Ashesh Rambachan +3 · 1 voice · 5 citations
#cs.CL #cs.AI
- Panel Experiments and Dynamic Causal Effects: A Finite Population\n Perspective
2020/03/22 by Iavor Bojinov, Bojinov, Iavor, Ashesh Rambachan +3 · 2 citations
Economics, Econometrics and Finance · Mathematics · Social Sciences · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #School Choice and Performance #Spatial and Panel Data Analysis #Statistics Theory (math.ST)
- Program Evaluation with Remotely Sensed Outcomes
2024/11/17 by Ashesh Rambachan, Rambachan, Ashesh, Rahul Singh +3 · 3 voices · 1 citation
Decision Sciences · #Evaluation and Performance Assessment #cs.LG #econ.EM #math.ST #stat.AP #stat.ME #stat.ML