5 citations · 10 across the 10 of their papers we have counts for
10 papers
Fast PINN Eigensolvers via Biconvex Reformulation
Akshay Sai Banderwaar, Abhishek Gupta
Eigenvalue problems have a distinctive forward-inverse structure and are fundamental to characterizing a system's thermal response, stability, and natural modes. Physics-Informed N…
VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation
Mateo Guaman Castro, Sidharth Rajagopal, Daniel Gorbatov +9
A fundamental challenge in robot navigation lies in learning policies that generalize across diverse environments while conforming to the unique physical constraints and capabiliti…
Tiered Acquisition for Constrained Bayesian Optimization: An Application to Analog Circuits
Ria Rashid, Abhishek Gupta
Analog circuit design can be considered as an optimization problem with the targeted circuit specifications as constraints. When stringent circuit specifications are considered, it…
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta +2
Training agents that can coordinate zero-shot with humans is a key mission in multi-agent reinforcement learning (MARL). Current algorithms focus on training simulated human partne…
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison +2
Reinforcement Learning from Human Feedback (RLHF) is a powerful paradigm for aligning foundation models to human values and preferences. However, current RLHF techniques cannot acc…
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
Jianzong Pi, Samuel Filgueira da Silva, Mehmet Fatih Ozkan +2
Efficient parameter identification of electrochemical models is crucial for accurate monitoring and control of lithium-ion cells. This process becomes challenging when applied to c…
Modeling Boundedly Rational Agents with Latent Inference Budgets
Athul Paul Jacob, Abhishek Gupta, Jacob Andreas
We study the problem of modeling a population of agents pursuing unknown goals subject to unknown computational constraints. In standard models of bounded rationality, sub-optimal…
New Epochs in AI Supervision: Design and Implementation of an Autonomous Radiology AI Monitoring System
Vasantha Kumar Venugopal, Abhishek Gupta, Rohit Takhar +1
With the increasingly widespread adoption of AI in healthcare, maintaining the accuracy and reliability of AI models in clinical practice has become crucial. In this context, we in…
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Elizabeth Seger, Noemi Dreksler, Richard Moulange +19
Recent decisions by leading AI labs to either open-source their models or to restrict access to their models has sparked debate about whether, and how, increasingly capable AI mode…
The State of AI Ethics Report (Volume 4)
Abhishek Gupta, Alexandrine Royer, Connor Wright +7
The 4th edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in the field of AI Ethics since January 2021. This report aims…