Gregor Bachmann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Constant Curvature

Question Answering

Top Venues

Publications

Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
A Language Model's Guide Through Latent Space. CoRR (2024)
Gregor Bachmann, Vaishnavh Nagarajan
The pitfalls of next-token prediction. CoRR (2024)
Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann
How Good is a Single Basin? CoRR (2024)
Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann
How Good is a Single Basin? AISTATS (2024)
Gul Sena Altintas, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
Disentangling Linear Mode-Connectivity. CoRR (2023)
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)
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, Gregor Bachmann, Thomas Hofmann
Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies. 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)
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)
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)
Gregor Bachmann, Thomas Hofmann, Aurélien Lucchi
Generalization Through the Lens of Leave-One-Out Error. ICLR (2022)
Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
How Tempering Fixes Data Augmentation in Bayesian Neural Networks. ICML (2022)
Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
How Tempering Fixes Data Augmentation in Bayesian Neural Networks. CoRR (2022)
Gregor Bachmann, Thomas Hofmann, Aurélien Lucchi
Generalization Through The Lens Of Leave-One-Out Error. CoRR (2022)
Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
Uniform Convergence, Adversarial Spheres and a Simple Remedy. ICML (2021)
Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
Precise characterization of the prior predictive distribution of deep ReLU networks. CoRR (2021)
Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. CoRR (2021)
Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
Precise characterization of the prior predictive distribution of deep ReLU networks. NeurIPS (2021)
Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
Analytic Insights into Structure and Rank of Neural Network Hessian Maps. NeurIPS (2021)
Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. NeurIPS (2021)
Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
Uniform Convergence, Adversarial Spheres and a Simple Remedy. CoRR (2021)
Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
Analytic Insights into Structure and Rank of Neural Network Hessian Maps. CoRR (2021)
Gregor Bachmann, Gary Bécigneul, Octavian Ganea
Constant Curvature Graph Convolutional Networks. ICML (2020)
Gregor Bachmann, Gary Bécigneul, Octavian-Eugen Ganea
Constant Curvature Graph Convolutional Networks. CoRR (2019)