Gregor Bachmann
17 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
π
Conference Polyglot
(6)
π
Academic Marathon
(5)
π€
Dynamic Duo
(12)
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Triple Crown
π₯
Unstoppable
(6)
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Century Club
(17)
β
The Questioner
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Keyword Collector
(54)
Conferences
ICML (7)
NIPS (4)
ICLR (3)
ACL (1)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
bayesian neural network
(3)
knowledge distillation
(2)
cold posterior effect
(2)
data augmentation
(2)
computer vision
(1)
video generation
(1)
neural tangent kernel
(1)
model architecture
(1)
network architecture
(1)
neural network optimization
(1)
loss landscape
(1)
efficient computing
(1)
uniform convergence
(1)
gaussian priors
(1)
generative model
(1)
second-order optimization
(1)
hessian matrix
(1)
generalization bound
(1)
inductive bia
(1)
image generation
(1)
Papers
Tokenisation is NP-Complete
ACL 2025
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
ICLR 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
CVPR 2025
How Good is a Single Basin?
AISTATS 2024
A Language Modelβs Guide Through Latent Space
ICML 2024
The Pitfalls of Next-Token Prediction
ICML 2024
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
ICML 2024
The Curious Case of Benign Memorization
ICLR 2023
Scaling MLPs: A Tale of Inductive Bias
NIPS 2023
Random Teachers are Good Teachers
ICML 2023
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
ICML 2022
Generalization Through the Lens of Leave-One-Out Error
ICLR 2022
Precise characterization of the prior predictive distribution of deep ReLU networks
NIPS 2021
Uniform Convergence, Adversarial Spheres and a Simple Remedy
ICML 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
NIPS 2021
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
NIPS 2021
Constant Curvature Graph Convolutional Networks
ICML 2020