Fine-Tuning Generative Models as an Inference Method for Robotic Tasks

19 October 2023

Papers citing "Fine-Tuning Generative Models as an Inference Method for Robotic Tasks"

7 / 7 papers shown

Title
Generative AI Agents in Autonomous Machines: A Safety Perspective Jason J. Jabbour Vijay Janapa Reddi AI4CE 43 4 0 20 Oct 2024
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators Fabian Baumeister Lukas Mack Joerg Stueckler 36 2 0 20 Sep 2024
Can Large Language Models Unlock Novel Scientific Research Ideas? Sandeep Kumar Tirthankar Ghosal Vinayak Goyal Asif Ekbal ALM LRM AI4CE 33 10 0 10 Sep 2024
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders Naﬁz Abeer Sanket R. Jantre Nathan M. Urban Byung-Jun Yoon 45 0 0 31 May 2024
Simulation-based Bayesian inference for multi-fingered robotic grasping Norman Marlier O. Bruls Gilles Louppe 31 6 0 29 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016