Gregor Bachmann
17 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Papers
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
CVPR 2025
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
ICLR 2025
Tokenisation is NP-Complete
ACL 2025
A Language Modelβs Guide Through Latent Space
ICML 2024
How Good is a Single Basin?
AISTATS 2024
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
ICML 2024
The Pitfalls of Next-Token Prediction
ICML 2024
Random Teachers are Good Teachers
ICML 2023
Scaling MLPs: A Tale of Inductive Bias
NeurIPS 2023
The Curious Case of Benign Memorization
ICLR 2023
Generalization Through the Lens of Leave-One-Out Error
ICLR 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
ICML 2022
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
NeurIPS 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
NeurIPS 2021
Precise characterization of the prior predictive distribution of deep ReLU networks
NeurIPS 2021
Uniform Convergence, Adversarial Spheres and a Simple Remedy
ICML 2021
Constant Curvature Graph Convolutional Networks
ICML 2020