Ameba-inspired Self-organizing Particle Systems. - Shlomi Dolev; Robert Gmyr; Andréa W. Richa; Christian Scheideler (CoRR, 2013)

Brief announcement: amoebot - a new model for programmable matter. - Zahra Derakhshandeh; Shlomi Dolev; Robert Gmyr; Andréa W. Richa; Christian Scheideler; Thim Strothmann (SPAA, 2014)

Infinite Object Coating in the Amoebot Model. - Zahra Derakhshandeh; Robert Gmyr; Andréa W. Richa; Christian Scheideler; Thim Strothmann; Shimrit Tzur-David (CoRR, 2014)

Leader Election and Shape Formation with Self-organizing Programmable Matter. - Zahra Derakhshandeh; Robert Gmyr; Thim Strothmann; Rida A. Bazzi; Andréa W. Richa; Christian Scheideler (DNA, 2015)

An Algorithmic Framework for Shape Formation Problems in Self-Organizing Particle Systems. - Zahra Derakhshandeh; Robert Gmyr; Andréa W. Richa; Christian Scheideler; Thim Strothmann (NANOCOM, 2015)

Brief Announcement: On the Feasibility of Leader Election and Shape Formation with Self-Organizing Programmable Matter. - Zahra Derakhshandeh; Robert Gmyr; Thim Strothmann; Rida A. Bazzi; Andréa W. Richa; Christian Scheideler (PODC, 2015)

On the Runtime of Universal Coating for Programmable Matter. - Zahra Derakhshandeh; Robert Gmyr; Alexandra M. Porter; Andréa W. Richa; Christian Scheideler; Thim Strothmann (DNA, 2016)

Universal Shape Formation for Programmable Matter. - Zahra Derakhshandeh; Robert Gmyr; Andréa W. Richa; Christian Scheideler; Thim Strothmann (SPAA, 2016)

Churn- and DoS-resistant Overlay Networks Based on Network Reconfiguration. - Maximilian Drees; Robert Gmyr; Christian Scheideler (SPAA, 2016)

Improved Leader Election for Self-organizing Programmable Matter. - Joshua J. Daymude; Robert Gmyr; Andréa W. Richa; Christian Scheideler; Thim Strothmann (ALGOSENSORS, 2017)

Distributed Monitoring of Network Properties: The Power of Hybrid Networks. - Robert Gmyr; Kristian Hinnenthal; Christian Scheideler; Christian Sohler (ICALP, 2017)

Leader Election with High Probability for Self-Organizing Programmable Matter. - Joshua J. Daymude; Robert Gmyr; Andréa W. Richa; Christian Scheideler; Thim Strothmann (CoRR, 2017)

Universal coating for programmable matter. - Zahra Derakhshandeh; Robert Gmyr; Andréa W. Richa; Christian Scheideler; Thim Strothmann (Theor. Comput. Sci., 2017)

Shape Recognition by a Finite Automaton Robot. - Robert Gmyr; Kristian Hinnenthal; Irina Kostitsyna; Fabian Kuhn; Dorian Rudolph; Christian Scheideler (MFCS, 2018)

Time-Message Trade-Offs in Distributed Algorithms. - Robert Gmyr; Gopal Pandurangan (DISC, 2018)

Distributed Computation in the Node-Congested Clique. - John Augustine; Mohsen Ghaffari 001; Robert Gmyr; Kristian Hinnenthal; Fabian Kuhn; Jason Li 006; Christian Scheideler (CoRR, 2018)

On the runtime of universal coating for programmable matter. - Joshua J. Daymude; Zahra Derakhshandeh; Robert Gmyr; Alexandra M. Porter; Andréa W. Richa; Christian Scheideler; Thim Strothmann (Nat. Comput., 2018)

Distributed algorithms for overlay networks and programmable matter. - Robert Gmyr (2018)

Distributed Computation in Node-Capacitated Networks. - John Augustine; Mohsen Ghaffari 001; Robert Gmyr; Kristian Hinnenthal; Christian Scheideler; Fabian Kuhn; Jason Li 006 (SPAA, 2019)

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization. - Chenguang Zhu 001; Ziyi Yang; Robert Gmyr; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2019)

Self-Stabilizing Metric Graphs. - Robert Gmyr; Jonas Lefèvre; Christian Scheideler (Theory Comput. Syst., 2019)

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. - Ziyi Yang; Chenguang Zhu 001; Robert Gmyr; Michael Zeng 001; Xuedong Huang 001; Eric Darve (EMNLP (Findings), 2020)

Convex Hull Formation for Programmable Matter. - Joshua J. Daymude; Robert Gmyr; Kristian Hinnenthal; Irina Kostitsyna; Christian Scheideler; Andréa W. Richa (ICDCN, 2020)

A Federated Approach in Training Acoustic Models. - Dimitrios Dimitriadis; Ken'ichi Kumatani; Robert Gmyr; Yashesh Gaur; Sefik Emre Eskimez (INTERSPEECH, 2020)

GAN-Based Data Generation for Speech Emotion Recognition. - Sefik Emre Eskimez; Dimitrios Dimitriadis; Robert Gmyr; Kenichi Kumanati (INTERSPEECH, 2020)

Sequence-Level Self-Learning with Multiple Hypotheses. - Ken'ichi Kumatani; Dimitrios Dimitriadis; Yashesh Gaur; Robert Gmyr; Sefik Emre Eskimez; Jinyu Li 001; Michael Zeng 001 (INTERSPEECH, 2020)

Sleeping is Efficient: MIS in O(1)-rounds Node-averaged Awake Complexity. - Soumyottam Chatterjee; Robert Gmyr; Gopal Pandurangan (PODC, 2020)

Sleeping is Efficient: MIS in O(1)-rounds Node-averaged Awake Complexity. - Soumyottam Chatterjee; Robert Gmyr; Gopal Pandurangan (CoRR, 2020)

Federated Transfer Learning with Dynamic Gradient Aggregation. - Dimitrios Dimitriadis; Ken'ichi Kumatani; Robert Gmyr; Yashesh Gaur; Sefik Emre Eskimez (CoRR, 2020)

Forming tile shapes with simple robots. - Robert Gmyr; Kristian Hinnenthal; Irina Kostitsyna; Fabian Kuhn; Dorian Rudolph; Christian Scheideler; Thim Strothmann (Nat. Comput., 2020)

One-Shot Voice Conversion with Speaker-Agnostic StarGAN. - Sefik Emre Eskimez; Dimitrios Dimitriadis; Ken'ichi Kumatani; Robert Gmyr (Interspeech, 2021)

Leveraging Lead Bias for Zero-shot Abstractive News Summarization. - Chenguang Zhu 001; Ziyi Yang; Robert Gmyr; Michael Zeng 001; Xuedong Huang 001 (SIGIR, 2021)

CADbots: Algorithmic Aspects of Manipulating Programmable Matter with Finite Automata. - Sándor P. Fekete; Robert Gmyr; Sabrina Hugo; Phillip Keldenich; Christian Scheffer; Arne Schmidt 001 (Algorithmica, 2021)

Dynamic Gradient Aggregation for Federated Domain Adaptation. - Dimitrios Dimitriadis; Ken'ichi Kumatani; Robert Gmyr; Yashesh Gaur; Sefik Emre Eskimez (CoRR, 2021)

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition. - Ken'ichi Kumatani; Robert Gmyr; Felipe Cruz Salinas; Linquan Liu; Wei Zuo; Devang Patel; Eric Sun; Yu Shi 001 (CoRR, 2021)

i-Code: An Integrative and Composable Multimodal Learning Framework. - Ziyi Yang; Yuwei Fang; Chenguang Zhu 001; Reid Pryzant; Dongdong Chen 001; Yu Shi 001; Yichong Xu; Yao Qian; Mei Gao; Yi-Ling Chen; Liyang Lu; Yujia Xie; et al. (AAAI, 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Mei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (CoRR, 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Xuemei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (NAACL-HLT (Findings), 2024)