Sotiris Anagnostidis

42 papers A* 14Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Autoregressive Distillation of Diffusion Transformers. CVPR Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu
2025	J	`jnl`	Autoregressive Distillation of Diffusion Transformers. CoRR Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu
2025	J	`jnl`	Exploring Magnitude Preservation and Rotation Modulation in Diffusion Transformers. CoRR Eric Tillman Bill, Cristian Perez Jensen, Sotiris Anagnostidis, Dimitri von Rütte
2025	A*	`conf`	FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute. CVPR Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld
2025	J	`jnl`	FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute. CoRR Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld
2025	J	`jnl`	Generalized Linear Mode Connectivity for Transformers. CoRR Alexander Theus, Alessandro Cabodi, Sotiris Anagnostidis, Antonio Orvieto, Sidak Pal Singh, Valentina Boeva
2025	J	`jnl`	IC-Portrait: In-Context Matching for View-Consistent Personalized Portrait. CoRR Han Yang, Enis Simsar, Sotiris Anagnostidis, Yanlong Zang, Thomas Hofmann, Ziwei Liu
2025	A*	`conf`	Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment. ICLR Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schönfeld, Ali K. Thabet, Jonas Kohler
2025	J	`jnl`	Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment. CoRR Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schönfeld, Ali K. Thabet, Jonas Kohler
2025	J	`jnl`	Model Fusion via Neuron Interpolation. CoRR Phoomraphee Luenam, Andreas Spanopoulos, Amit Sant, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2024	A*	`conf`	A Language Model's Guide Through Latent Space. ICML Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2024	J	`jnl`	A Language Model's Guide Through Latent Space. CoRR Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2024	J	`jnl`	How Susceptible are LLMs to Influence in Prompts? CoRR Sotiris Anagnostidis, Jannis Bulian
2024	J	`jnl`	MegaPortrait: Revisiting Diffusion Control for High-fidelity Portrait Generation. CoRR Han Yang, Sotiris Anagnostidis, Enis Simsar, Thomas Hofmann
2024	A*	`conf`	Navigating Scaling Laws: Compute Optimality in Adaptive Model Training. ICML Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann
2024	A*	`conf`	Towards Meta-Pruning via Optimal Transport. ICLR Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2024	J	`jnl`	Towards Meta-Pruning via Optimal Transport. CoRR Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2024	A*	`conf`	Transformer Fusion with Optimal Transport. ICLR Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2023	—	`conf`	CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CVPR Workshops Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	J	`jnl`	CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CoRR Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	J	`jnl`	Design and Implementation for Nonblocking Execution in GraphBLAS: Tradeoffs and Performance. ACM Trans. Archit. Code Optim. Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman
2023	A*	`conf`	Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. NeurIPS Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
2023	J	`jnl`	Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. CoRR Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
2023	J	`jnl`	Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization. CoRR Elior Benarous, Sotiris Anagnostidis, Luca Biggio, Thomas Hofmann
2023	A*	`conf`	Mastering Spatial Graph Prediction of Road Networks. ICCV Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann
2023	J	`jnl`	Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes. CoRR Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	J	`jnl`	Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies. CoRR Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	A*	`conf`	OpenAssistant Conversations - Democratizing Large Language Model Alignment. NeurIPS 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
2023	J	`jnl`	OpenAssistant Conversations - Democratizing Large Language Model Alignment. CoRR 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
2023	A*	`conf`	Random Teachers are Good Teachers. ICML Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	J	`jnl`	Random Teachers are Good Teachers. CoRR Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	A*	`conf`	Scaling MLPs: A Tale of Inductive Bias. NeurIPS Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	J	`jnl`	Scaling MLPs: A Tale of Inductive Bias. CoRR Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	A*	`conf`	The Curious Case of Benign Memorization. ICLR Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2023	J	`jnl`	Transformer Fusion with Optimal Transport. CoRR Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2022	J	`jnl`	Cosmology from Galaxy Redshift Surveys with PointNet. CoRR Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann
2022	J	`jnl`	Mastering Spatial Graph Prediction of Road Networks. CoRR Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann
2022	—	`conf`	Nonblocking execution in GraphBLAS. IPDPS Workshops Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman
2022	A*	`conf`	Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse. NeurIPS Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi
2022	J	`jnl`	Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse. CoRR Lorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi
2022	J	`jnl`	The Curious Case of Benign Memorization. CoRR Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2021	J	`jnl`	Direct-Search for a Class of Stochastic Min-Max Problems. CoRR Sotiris Anagnostidis, Aurélien Lucchi, Youssef Diouane