Sotiris Anagnostidis

According to our database, Sotiris Anagnostidis authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Language Model's Guide Through Latent Space.

Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann

CoRR, 2024

Towards Meta-Pruning via Optimal Transport.

Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh

CoRR, 2024

2023

Design and Implementation for Nonblocking Execution in GraphBLAS: Tradeoffs and Performance.

Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman

ACM Trans. Archit. Code Optim., March, 2023

Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization.

Elior Benarous, Sotiris Anagnostidis, Luca Biggio, Thomas Hofmann

CoRR, 2023

Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies.

Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann

CoRR, 2023

Transformer Fusion with Optimal Transport.

Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh

CoRR, 2023

OpenAssistant Conversations - Democratizing Large Language Model Alignment.

Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi-Rui Tam, Keith Stevens, Abdullah Barhoum, Nguyen Minh Duc, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick

CoRR, 2023

OpenAssistant Conversations - Democratizing Large Language Model Alignment.

Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi Rui Tam, Keith Stevens, Abdullah Barhoum, Duc Nguyen, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scaling MLPs: A Tale of Inductive Bias.

Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers.

Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Random Teachers are Good Teachers.

Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann

Proceedings of the International Conference on Machine Learning, 2023

The Curious Case of Benign Memorization.

Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mastering Spatial Graph Prediction of Road Networks.

Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes.

Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes.

Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotirios-Konstantinos Anagnostidis, Gregor Bachmann, Thomas Hofmann

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Cosmology from Galaxy Redshift Surveys with PointNet.

Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann

CoRR, 2022

Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse.

Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nonblocking execution in GraphBLAS.

Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Direct-Search for a Class of Stochastic Min-Max Problems.

Sotirios-Konstantinos Anagnostidis, Aurélien Lucchi, Youssef Diouane

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021