Robert Gmyr

Orcid: 0000-0002-2242-6083

According to our database1, Robert Gmyr authored at least 38 papers between 2013 and 2024.

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Bibliography

2024
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data.
CoRR, 2023

i-Code: An Integrative and Composable Multimodal Learning Framework.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition.
CoRR, 2021

Dynamic Gradient Aggregation for Federated Domain Adaptation.
CoRR, 2021

CADbots: Algorithmic Aspects of Manipulating Programmable Matter with Finite Automata.
Algorithmica, 2021

Leveraging Lead Bias for Zero-shot Abstractive News Summarization.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

One-Shot Voice Conversion with Speaker-Agnostic StarGAN.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Forming tile shapes with simple robots.
Nat. Comput., 2020

Federated Transfer Learning with Dynamic Gradient Aggregation.
CoRR, 2020

Sleeping is Efficient: MIS in O(1)-rounds Node-averaged Awake Complexity.
CoRR, 2020

Sleeping is Efficient: MIS in <i>O</i>(1)-rounds Node-averaged Awake Complexity.
Proceedings of the PODC '20: ACM Symposium on Principles of Distributed Computing, 2020

Sequence-Level Self-Learning with Multiple Hypotheses.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

GAN-Based Data Generation for Speech Emotion Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Federated Approach in Training Acoustic Models.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Convex Hull Formation for Programmable Matter.
Proceedings of the ICDCN 2020: 21st International Conference on Distributed Computing and Networking, 2020

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Self-Stabilizing Metric Graphs.
Theory Comput. Syst., 2019

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization.
CoRR, 2019

Distributed Computation in Node-Capacitated Networks.
Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019

2018
Distributed algorithms for overlay networks and programmable matter.
PhD thesis, 2018

On the runtime of universal coating for programmable matter.
Nat. Comput., 2018

Distributed Computation in the Node-Congested Clique.
CoRR, 2018

Time-Message Trade-Offs in Distributed Algorithms.
Proceedings of the 32nd International Symposium on Distributed Computing, 2018

Shape Recognition by a Finite Automaton Robot.
Proceedings of the 43rd International Symposium on Mathematical Foundations of Computer Science, 2018

2017
Universal coating for programmable matter.
Theor. Comput. Sci., 2017

Leader Election with High Probability for Self-Organizing Programmable Matter.
CoRR, 2017

Distributed Monitoring of Network Properties: The Power of Hybrid Networks.
Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017

Improved Leader Election for Self-organizing Programmable Matter.
Proceedings of the Algorithms for Sensor Systems, 2017

2016
Churn- and DoS-resistant Overlay Networks Based on Network Reconfiguration.
Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, 2016

Universal Shape Formation for Programmable Matter.
Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, 2016

On the Runtime of Universal Coating for Programmable Matter.
Proceedings of the DNA Computing and Molecular Programming - 22nd International Conference, 2016

2015
Brief Announcement: On the Feasibility of Leader Election and Shape Formation with Self-Organizing Programmable Matter.
Proceedings of the 2015 ACM Symposium on Principles of Distributed Computing, 2015

An Algorithmic Framework for Shape Formation Problems in Self-Organizing Particle Systems.
Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication, 2015

Leader Election and Shape Formation with Self-organizing Programmable Matter.
Proceedings of the DNA Computing and Molecular Programming - 21st International Conference, 2015

2014
Infinite Object Coating in the Amoebot Model.
CoRR, 2014

Brief announcement: amoebot - a new model for programmable matter.
Proceedings of the 26th ACM Symposium on Parallelism in Algorithms and Architectures, 2014

2013
Ameba-inspired Self-organizing Particle Systems.
CoRR, 2013


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