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Sotiris Anagnostidis
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2020 – today
- 2025
- [c16]Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schönfeld, Ali K. Thabet, Jonas Kohler:
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment. ICLR 2025 - [i21]Han Yang, Enis Simsar, Sotiris Anagnostidis, Yanlong Zang, Thomas Hofmann, Ziwei Liu:
IC-Portrait: In-Context Matching for View-Consistent Personalized Portrait. CoRR abs/2501.17159 (2025) - [i20]Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schönfeld, Ali K. Thabet, Jonas Kohler:
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment. CoRR abs/2501.19309 (2025) - [i19]Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld:
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute. CoRR abs/2502.20126 (2025) - 2024
- [c15]Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh:
Transformer Fusion with Optimal Transport. ICLR 2024 - [c14]Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh:
Towards Meta-Pruning via Optimal Transport. ICLR 2024 - [c13]Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann:
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training. ICML 2024 - [c12]Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann:
A Language Model's Guide Through Latent Space. ICML 2024 - [i18]Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh:
Towards Meta-Pruning via Optimal Transport. CoRR abs/2402.07839 (2024) - [i17]Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann:
A Language Model's Guide Through Latent Space. CoRR abs/2402.14433 (2024) - [i16]Sotiris Anagnostidis, Jannis Bulian:
How Susceptible are LLMs to Influence in Prompts? CoRR abs/2408.11865 (2024) - [i15]Han Yang, Sotiris Anagnostidis, Enis Simsar, Thomas Hofmann:
MegaPortrait: Revisiting Diffusion Control for High-fidelity Portrait Generation. CoRR abs/2411.04357 (2024) - 2023
- [j1]Aristeidis Mastoras
, Sotiris Anagnostidis
Design and Implementation for Nonblocking Execution in GraphBLAS: Tradeoffs and Performance. ACM Trans. Archit. Code Optim. 20(1): 6:1-6:23 (2023) - [c11]Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotirios-Konstantinos Anagnostidis, Gregor Bachmann, Thomas Hofmann:
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes. BMVC 2023: 748-749 - [c10]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: 5607-5612 - [c9]Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann:
Mastering Spatial Graph Prediction of Road Networks. ICCV 2023: 5385-5395 - [c8]Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
The Curious Case of Benign Memorization. ICLR 2023 - [c7]Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Random Teachers are Good Teachers. ICML 2023: 30022-30041 - [c6]Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann:
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. NeurIPS 2023 - [c5]Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Scaling MLPs: A Tale of Inductive Bias. NeurIPS 2023 - [c4]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 - [i14]Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Random Teachers are Good Teachers. CoRR abs/2302.12091 (2023) - [i13]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 abs/2304.06061 (2023) - [i12]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 abs/2304.07327 (2023) - [i11]Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann:
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. CoRR abs/2305.15805 (2023) - [i10]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 abs/2306.02329 (2023) - [i9]Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Scaling MLPs: A Tale of Inductive Bias. CoRR abs/2306.13575 (2023) - [i8]Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh:
Transformer Fusion with Optimal Transport. CoRR abs/2310.05719 (2023) - [i7]Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann:
Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies. CoRR abs/2311.03233 (2023) - [i6]Elior Benarous, Sotiris Anagnostidis, Luca Biggio, Thomas Hofmann:
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization. CoRR abs/2311.06224 (2023) - 2022
- [c3]Aristeidis Mastoras
Nonblocking execution in GraphBLAS. IPDPS Workshops 2022: 230-233 - [c2]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 - [i5]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 abs/2206.03126 (2022) - [i4]Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann:
Mastering Spatial Graph Prediction of Road Networks. CoRR abs/2210.00828 (2022) - [i3]Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
The Curious Case of Benign Memorization. CoRR abs/2210.14019 (2022) - [i2]Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier
Cosmology from Galaxy Redshift Surveys with PointNet. CoRR abs/2211.12346 (2022) - 2021
- [c1]Sotirios-Konstantinos Anagnostidis, Aurélien Lucchi, Youssef Diouane:
Direct-Search for a Class of Stochastic Min-Max Problems. AISTATS 2021: 3772-3780 - [i1]Sotiris Anagnostidis, Aurélien Lucchi, Youssef Diouane:
Direct-Search for a Class of Stochastic Min-Max Problems. CoRR abs/2102.11386 (2021)
Coauthor Index
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