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20182026
most citedPop Quiz! Can a Large Language Model Help With Reverse Engineering?

13 citations · 46 across the 46 of their papers we have counts for

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cs.CV2024

Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics

Sara Ghazanfari, Siddharth Garg, Nicolas Flammarion +3

Human perception of similarity across uni- and multimodal inputs is highly complex, making it challenging to develop automated metrics that accurately mimic it. General purpose vis…

cs.RO2024

Distributed Inverse Dynamics Control for Quadruped Robots using Geometric Optimization

Nimesh Khandelwal, Amritanshu Manu, Shakti S. Gupta +3

This paper presents a distributed inverse dynamics controller (DIDC) for quadruped robots that addresses the limitations of existing reactive controllers: simplified dynamical mode…

cs.LG2024

Out-of-Distribution Detection with Overlap Index

Hao Fu, Prashanth Krishnamurthy, Siddharth Garg +1

Out-of-distribution (OOD) detection is crucial for the deployment of machine learning models in the open world. While existing OOD detectors are effective in identifying OOD sample…

cs.RO2024

RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training

Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun +1

Vision-based pose estimation of articulated robots with unknown joint angles has applications in collaborative robotics and human-robot interaction tasks. Current frameworks use ne…

eess.SY2024

Data-Efficient System Identification via Lipschitz Neural Networks

Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami

Extracting dynamic models from data is of enormous importance in understanding the properties of unknown systems. In this work, we employ Lipschitz neural networks, a class of neur…

eess.SY2024

Collision Avoidance for Convex Primitives via Differentiable Optimization Based High-Order Control Barrier Functions

Shiqing Wei, Rooholla Khorrambakht, Prashanth Krishnamurthy +2

Ensuring the safety of dynamical systems is crucial, where collision avoidance is a primary concern. Recently, control barrier functions (CBFs) have emerged as an effective method…