Gregor Bachmann

42 papers A* 15A 2Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics. CoRR Gregor Bachmann, Yichen Jiang, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi
2026	J	`jnl`	Thinking into the Future: Latent Lookahead Training for Transformers. CoRR Lorenzo Noci, Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi
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	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	—	`conf`	Tokenisation is NP-Complete. ACL (1) Philip Whittington, Gregor Bachmann, Tiago Pimentel
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	A	`conf`	How Good is a Single Basin? AISTATS Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann
2024	J	`jnl`	How Good is a Single Basin? CoRR Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann
2024	J	`jnl`	Interpolated-MLPs: Controllable Inductive Bias. CoRR Sean Wu, Jordan Hong, Keyu Bai, Gregor Bachmann
2024	A*	`conf`	Navigating Scaling Laws: Compute Optimality in Adaptive Model Training. ICML Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann
2024	A*	`conf`	The Pitfalls of Next-Token Prediction. ICML Gregor Bachmann, Vaishnavh Nagarajan
2024	J	`jnl`	The pitfalls of next-token prediction. CoRR Gregor Bachmann, Vaishnavh Nagarajan
2024	J	`jnl`	Tokenisation is NP-Complete. CoRR Philip Whittington, Gregor Bachmann, Tiago Pimentel
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`	Disentangling Linear Mode-Connectivity. CoRR Gul Sena Altintas, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2023	A	`conf`	Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes. BMVC Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotirios-Konstantinos Anagnostidis, Gregor Bachmann, 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`	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
2022	J	`jnl`	Generalization Through The Lens Of Leave-One-Out Error. CoRR Gregor Bachmann, Thomas Hofmann, Aurélien Lucchi
2022	A*	`conf`	Generalization Through the Lens of Leave-One-Out Error. ICLR Gregor Bachmann, Thomas Hofmann, Aurélien Lucchi
2022	A*	`conf`	How Tempering Fixes Data Augmentation in Bayesian Neural Networks. ICML Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2022	J	`jnl`	How Tempering Fixes Data Augmentation in Bayesian Neural Networks. CoRR Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2022	J	`jnl`	The Curious Case of Benign Memorization. CoRR Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2021	A*	`conf`	Analytic Insights into Structure and Rank of Neural Network Hessian Maps. NeurIPS Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
2021	J	`jnl`	Analytic Insights into Structure and Rank of Neural Network Hessian Maps. CoRR Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
2021	A*	`conf`	Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. NeurIPS Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
2021	J	`jnl`	Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. CoRR Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
2021	A*	`conf`	Precise characterization of the prior predictive distribution of deep ReLU networks. NeurIPS Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
2021	J	`jnl`	Precise characterization of the prior predictive distribution of deep ReLU networks. CoRR Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
2021	A*	`conf`	Uniform Convergence, Adversarial Spheres and a Simple Remedy. ICML Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
2021	J	`jnl`	Uniform Convergence, Adversarial Spheres and a Simple Remedy. CoRR Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
2020	A*	`conf`	Constant Curvature Graph Convolutional Networks. ICML Gregor Bachmann, Gary Bécigneul, Octavian Ganea
2019	J	`jnl`	Constant Curvature Graph Convolutional Networks. CoRR Gregor Bachmann, Gary Bécigneul, Octavian-Eugen Ganea