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Alexander Immer

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 11:26 AM AMS

10

papers

757

total citations

papers (10)

Laplace Redux - Effortless Bayesian Deep Learning

NEURIPS 2021arXiv

Continual Deep Learning by Functional Regularisation of Memorable Past

NEURIPS 2020arXiv

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations

NEURIPS 2022arXiv

Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures

NEURIPS 2023arXiv

Learning Layer-wise Equivariances Automatically using Gradients

NEURIPS 2023arXiv

Improving Neural Additive Models with Bayesian Principles

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish

Effective Bayesian Heteroscedastic Regression with Deep Neural Networks