多模态大模型 - arXivDaily 专题

1903.01006 2022-01-21 cs.RO 50%

Pushing the Boundaries of Asymptotic Optimality in Integrated Task and Motion Planning

Rahul Shome, Daniel Nakhimovich, Kostas E. Bekris

专题命中多模态Agent ：multi-modal(abstract)

Journal ref Algorithmic Foundations of Robotics XIV (2021) 467-484

2201.07067 2022-01-19 cs.RO 50%

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Marco Tranzatto, Frank Mascarich, Lukas Bernreiter, Carolina Godinho, Marco Camurri, Shehryar Khattak, Tung Dang, Victor Reijgwart, Johannes Loeje, David Wisth, Samuel Zimmermann, Huan Nguyen, Marius Fehr, Lukas Solanka, Russell Buchanan, Marko Bjelonic, Nikhil Khedekar, Mathieu Valceschini, Fabian Jenelten, Mihir Dharmadhikari, Timon Homberger, Paolo De Petris, Lorenz Wellhausen, Mihir Kulkarni, Takahiro Miki, Satchel Hirsch, Markus Montenegro, Christos Papachristos, Fabian Tresoldi, Jan Carius, Giorgio Valsecchi, Joonho Lee, Konrad Meyer, Xiangyu Wu, Juan Nieto, Andy Smith, Marco Hutter, Roland Siegwart, Mark Mueller, Maurice Fallon, Kostas Alexis

专题命中多模态Agent ：multi-modal(abstract)

Comments 50 pages, 25 figures. Accepted at Field Robotics, 2021

1912.06754 2021-12-21 cs.RO 50%

Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets

Minkyu Kim, Luis Sentis

专题命中多模态Agent ：multi-modal(abstract)

Comments 12 pages, 8 figures

2112.02969 2021-12-07 cs.SE cs.PL 50%

Jigsaw: Large Language Models meet Program Synthesis

Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma

专题命中多模态Agent ：multi-modal(abstract)

Comments Accepted to ICSE'22

2006.05356 2021-11-08 stat.ML cs.LG 50%

Scalable Thompson Sampling using Sparse Gaussian Process Models

Sattar Vakili, Henry Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny

专题命中多模态Agent ：multi-modal(abstract)

2109.09504 2021-09-21 eess.SP cs.LG 50%

The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection

Hugues Moreau, Andréa Vassilev, Liming Chen

专题命中多模态Agent ：multimodal(abstract)

Comments 13 pages, 5 figures, 6 tables. Published in IEEE Transactions on Intelligent Transportation Systems

Journal ref IEEE Transactions on Intelligent Transportation Systems, 2021

2109.03648 2021-09-09 cs.SE 50%

A Needle in a Haystack -- How to Derive Relevant Scenarios for Testing Automated Driving Systems in Urban Areas

Nico Weber, Christoph Thiem, Ulrich Konigorski

专题命中多模态Agent ：multi-modal(abstract)

Comments 37 pages, 15 figures, Preprint

2107.11587 2021-07-27 cs.LG 50%

Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?

Balázs Kégl, Gabriel Hurtado, Albert Thomas

专题命中多模态Agent ：multimodal(abstract)

Comments Published at International Conference on Learning Representations, 2021: https://openreview.net/forum?id=p5uylG94S68

2105.03308 2021-07-27 stat.ML cs.LG math.ST stat.TH 50%

Geometric convergence of elliptical slice sampling

Viacheslav Natarovskii, Daniel Rudolf, Björn Sprungk

专题命中多模态Agent ：multi-modal(abstract)

Comments 13 pages, 2 figures, Accepted in the Proceedings of the 38th International Conference on Machine Learning

2107.05146 2021-07-13 cs.RO 50%

Entropy Regularized Motion Planning via Stein Variational Inference

Alexander Lambert, Byron Boots

专题命中多模态Agent ：multi-modal(abstract)

Comments RSS 2021 Workshop on Integrating Planning and Learning

2107.02498 2021-07-07 cs.RO math.OC 50%

Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning

Andreas Orthey, Florian T. Pokorny, Marc Toussaint

专题命中多模态Agent ：multimodal(abstract)

Comments 5 pages, Extended Abstract for RSS Workshop on Geometry and Topology in Robotics

2105.04983 2021-05-12 cs.LG 50%

Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting

Yao Lei Xu, Giuseppe G. Calvi, Danilo P. Mandic

专题命中多模态Agent ：multi-modal(abstract)

Comments International Joint Conference on Neural Networks (IJCNN) 2021

2104.11212 2021-04-23 stat.ML cs.LG 50%

Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation

Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood

专题命中多模态Agent ：multi-modal(abstract)

Comments 10 pages, 8 figures

2104.07494 2021-04-16 cs.MA 50%

Agent-based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets

Antonio Bucchiarone, Martina De Sanctis, Nelly Bencomo

专题命中多模态Agent ：multi-modal(abstract)

Comments 13 pages, 10 Figures, Early Access Article published at the IEEE Transactions on Intelligent Transportation Systems

2010.13459 2021-03-18 q-bio.NC 50%

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio De Vico Fallani

专题命中多模态Agent ：multimodal(abstract)

Comments This is the version of the article before editing, as submitted by an author to the Journal of Neural Engineering. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online athttp://iopscience.iop.org/article/10.1088/1741-2552/abef39

2101.12335 2021-02-01 cs.IR 50%

Personalization and Recommendation Technologies for MaaS

K. Arnaoutaki, E. Bothos, B. Magoutas, G. Mentzas

专题命中多模态Agent ：multimodal(abstract)

Comments 13 pages

2010.13209 2021-01-22 cs.LG 50%

Multi-Graph Tensor Networks

Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic

专题命中多模态Agent ：multi-modal(abstract)

Comments NeurIPS 2020 - First Workshop on Quantum Tensor Networks in Machine Learning

2009.07517 2021-01-15 cs.RO cs.HC cs.LG cs.SY eess.SY 50%

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone

专题命中多模态Agent ：multimodal(abstract)

Comments 14 pages, 6 figures, 1 table. All code, models, and data can be found at https://github.com/StanfordASL/MATS . Conference on Robot Learning (CoRL) 2020

2012.15286 2021-01-01 astro-ph.IM 50%

JAXNS: a high-performance nested sampling package based on JAX

Joshua G. Albert

专题命中多模态Agent ：multi-modal(abstract)

2007.15079 2020-12-29 physics.app-ph math.OC 50%

A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics

Jiaxin Zhang, Sirui Bi, Guannan Zhang

专题命中多模态Agent ：multi-modal(abstract)

Comments 31 pages, 19 figures. This paper has been published in Materials & Design, 2021; 197:109213

2011.11293 2020-11-24 cs.LG cs.NE 50%

Evolutionary Planning in Latent Space

Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm, Sebastian Risi

专题命中多模态Agent ：multi-modal(abstract)

Comments Code to reproduce the experiments are available at https://github.com/two2tee/WorldModelPlanning Video of driving performance is available at https://youtu.be/3M39QgeF27U

2003.09318 2020-11-17 math.NA cs.NA math.OC math.ST physics.data-an stat.TH 50%

Bayesian approach to inverse scattering with topological priors

Ana Carpio, Sergei Iakunin, Georg Stadler

专题命中多模态Agent ：multi-modal(abstract)

Journal ref Inverse Problems 36, 105001, 2020

2011.06900 2020-11-16 cond-mat.mtrl-sci 50%

Evolutionary computing and machine learning for the discovering of low-energy defect configurations

Marco Arrigoni, Georg K. H. Madsen

专题命中多模态Agent ：multimodal(abstract)

2010.13303 2020-10-27 cs.LG 50%

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel

专题命中多模态Agent ：multi-modal(abstract)

Comments Accepted in NeurIPS2020. First two authors contributed equally, website: https://sites.google.com/view/trajectory-mcl code: https://github.com/younggyoseo/trajectory_mcl

2002.06024 2020-07-08 cs.RO 50%

Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning

Chao Huang, Rui Liu

专题命中多模态Agent ：multi-modal(abstract)

Comments The latest version of this paper has been uploaded to arXiv:2006.15482 and already accepted by a workshop

1806.08449 2020-07-01 cs.LG cs.IT math.IT stat.ML 50%

Generalizing Correspondence Analysis for Applications in Machine Learning

Hsiang Hsu, Salman Salamatian, Flavio P. Calmon

专题命中多模态Agent ：multi-modal(abstract)

Comments 30 pages, 7 figures, 6 tables. arXiv admin note: text overlap with arXiv:1902.07828

2003.01687 2020-06-25 cs.LG stat.ML 50%

Automatic Differentiation Variational Inference with Mixtures

Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew Gallagher, Joshua V. Dillon

专题命中多模态Agent ：multimodal(abstract)

Comments Submitted to NeurIPS 2020, Corrected footnote from: "34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada" to "Preprint. Under review."

1903.10860 2020-06-03 astro-ph.CO astro-ph.IM 50%

Accelerated Bayesian inference using deep learning

Adam Moss

专题命中多模态Agent ：multi-modal(abstract)

Comments 12 pages, 6 figures

1502.04548 2020-05-14 eess.SY cs.MA cs.RO cs.SY 50%

Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems

Vicenç Gómez, Sep Thijssen, Andrew Symington, Stephen Hailes, Hilbert J. Kappen

专题命中多模态Agent ：multimodal(abstract)

Comments 17 pages, 8 figures, 26th International Conference on Automated Planning and Scheduling

1902.01324 2020-05-13 cond-mat.stat-mech 50%

An introduction to classical molecular dynamics simulation for experimental scattering users

Andrew R. McCluskey, James Grant, Adam R. Symington, Tim Snow, James Doutch, Benjamin J. Morgan, Stephen C. Parker, Karen J. Edler

专题命中多模态Agent ：multi-modal(abstract)

Comments Electronic Supplementary Information (ESI) available: All analysis/plotting scripts and figure files, allowing for a fully reproducible, and automated, analysis workflow for the work presented is available at \url{https://github.com/arm61/sim_and_scat_paper} (DOI: 10.5281/zenodo.2556826) under a CC BY-SA 4.0 license

Journal ref J. Appl. Crystallogr., 52(3), 665-668, 2019

1. 多模态Agent 2783 篇

Pushing the Boundaries of Asymptotic Optimality in Integrated Task and Motion Planning

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets

Jigsaw: Large Language Models meet Program Synthesis

Scalable Thompson Sampling using Sparse Gaussian Process Models

The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection

A Needle in a Haystack -- How to Derive Relevant Scenarios for Testing Automated Driving Systems in Urban Areas

Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?

Geometric convergence of elliptical slice sampling

Entropy Regularized Motion Planning via Stein Variational Inference

Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning

Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting

Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation

Agent-based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Personalization and Recommendation Technologies for MaaS

Multi-Graph Tensor Networks

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

JAXNS: a high-performance nested sampling package based on JAX

A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics

Evolutionary Planning in Latent Space

Bayesian approach to inverse scattering with topological priors

Evolutionary computing and machine learning for the discovering of low-energy defect configurations

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning

Generalizing Correspondence Analysis for Applications in Machine Learning

Automatic Differentiation Variational Inference with Mixtures

Accelerated Bayesian inference using deep learning

Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems

An introduction to classical molecular dynamics simulation for experimental scattering users