Sotiris Anagnostidis

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 28

Top Topics

Synthetic Datasets

Question Answering

Top Venues

IPDPS Workshops

Publications

Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
A Language Model's Guide Through Latent Space. CoRR (2024)
Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Towards Meta-Pruning via Optimal Transport. ICLR (2024)
Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Towards Meta-Pruning via Optimal Transport. CoRR (2024)
Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Transformer Fusion with Optimal Transport. ICLR (2024)
Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CVPR Workshops (2023)
Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
Scaling MLPs: A Tale of Inductive Bias. CoRR (2023)
Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. CoRR (2023)
Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies. CoRR (2023)
Elior Benarous, Sotiris Anagnostidis, Luca Biggio, Thomas Hofmann
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization. CoRR (2023)
Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann
Mastering Spatial Graph Prediction of Road Networks. ICCV (2023)
Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Transformer Fusion with Optimal Transport. CoRR (2023)
Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes. CoRR (2023)
Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
Random Teachers are Good Teachers. CoRR (2023)
Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman
Design and Implementation for Nonblocking Execution in GraphBLAS: Tradeoffs and Performance. ACM Trans. Archit. Code Optim. 20 (1) (2023)
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
OpenAssistant Conversations - Democratizing Large Language Model Alignment. NeurIPS (2023)
Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CoRR (2023)
Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. NeurIPS (2023)
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
OpenAssistant Conversations - Democratizing Large Language Model Alignment. CoRR (2023)
Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
Scaling MLPs: A Tale of Inductive Bias. NeurIPS (2023)
Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
Random Teachers are Good Teachers. ICML (2023)
Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
The Curious Case of Benign Memorization. ICLR (2023)
Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
The Curious Case of Benign Memorization. CoRR (2022)
Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann
Mastering Spatial Graph Prediction of Road Networks. CoRR (2022)
Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann
Cosmology from Galaxy Redshift Surveys with PointNet. CoRR (2022)
Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse. CoRR (2022)
Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse. NeurIPS (2022)
Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman
Nonblocking execution in GraphBLAS. IPDPS Workshops (2022)
Sotiris Anagnostidis, Aurélien Lucchi, Youssef Diouane
Direct-Search for a Class of Stochastic Min-Max Problems. CoRR (2021)