2 citations · 2 across the 4 of their papers we have counts for
4 papers
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco +10
Trust and interpretability are crucial for the use of Artificial Intelligence (AI) in scientific research, but current models often operate as black boxes offering limited transpar…
Score Design for Multi-Criteria Incentivization
Anmol Kabra, Mina Karzand, Tosca Lechner +2
We present a framework for designing scores to summarize performance metrics. Our design has two multi-criteria objectives: (1) improving on scores should improve all performance m…
The Limitations of Model Retraining in the Face of Performativity
Anmol Kabra, Kumar Kshitij Patel
We study stochastic optimization in the context of performative shifts, where the data distribution changes in response to the deployed model. We demonstrate that naive retraining…
Exponential Family Model-Based Reinforcement Learning via Score Matching
Gene Li, Junbo Li, Anmol Kabra +3
We propose an optimistic model-based algorithm, dubbed SMRL, for finite-horizon episodic reinforcement learning (RL) when the transition model is specified by exponential family di…