Alexander Immer
Identifiers
- name variant Alexander Immer 0.60 · backfill
Papers (26)
- ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish q-bio.NC · 2025 · author #2
- Forecasting Whole-Brain Neuronal Activity from Volumetric Video cs.CV · 2025 · author #1
- Uncertainty-Penalized Direct Preference Optimization cs.LG · 2024 · author #3
- Influence Functions for Scalable Data Attribution in Diffusion Models cs.LG · 2024 · author #4
- Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood cs.LG · 2024 · author #2
- Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI cs.LG · 2024 · author #12
- Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks cs.LG · 2023 · author #2
- Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures cs.LG · 2023 · author #2
- Learning Layer-wise Equivariances Automatically using Gradients cs.LG · 2023 · author #2
- Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion cs.LG · 2023 · author #4
- Hodge-Aware Contrastive Learning cs.LG · 2023 · author #2
- Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels stat.ML · 2023 · author #1
- Improving Neural Additive Models with Bayesian Principles stat.ML · 2023 · author #2
- Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization cs.LG · 2023 · author #2
- On the Identifiability and Estimation of Causal Location-Scale Noise Models stat.ML · 2022 · author #1
- Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations stat.ML · 2022 · author #1
- Probing as Quantifying Inductive Bias cs.CL · 2021 · author #1
- Pathologies in priors and inference for Bayesian transformers cs.LG · 2021 · author #2
- Laplace Redux -- Effortless Bayesian Deep Learning cs.LG · 2021 · author #3
- Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning stat.ML · 2021 · author #1
- Improving predictions of Bayesian neural nets via local linearization stat.ML · 2020 · author #1
- Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks stat.ML · 2020 · author #1
- Continual Deep Learning by Functional Regularisation of Memorable Past stat.ML · 2020 · author #3
- Variational Inference with Numerical Derivatives: variance reduction through coupling stat.CO · 2019 · author #1
- Approximate Inference Turns Deep Networks into Gaussian Processes stat.ML · 2019 · author #2
- Generative Interest Estimation for Document Recommendations cs.IR · 2017 · author #2
Mentions
- 2410.13850 #4 · arxiv_oai · confidence 0.70 Alexander Immer
- 2503.02618 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2503.00073 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 2402.15978 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2410.20187 #3 · arxiv_oai · confidence 0.70 Alexander Immer
- 2305.16905 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2402.00809 #12 · arxiv_oai · confidence 0.70 Alexander Immer
- 2311.00636 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2312.00232 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2310.06131 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2310.02012 #4 · arxiv_oai · confidence 0.70 Alexander Immer
- 2309.07364 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2304.08309 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2306.03968 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 2210.09054 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 2202.10638 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 2110.08388 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 2106.14806 #3 · arxiv_oai · confidence 0.70 Alexander Immer
- 2110.04020 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 2104.04975 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 2008.08400 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 2004.14070 #3 · arxiv_oai · confidence 0.70 Alexander Immer
- 2007.11994 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 1906.01930 #2 · arxiv_oai · confidence 0.70 Alexander Immer
- 1906.06914 #1 · arxiv_oai · confidence 0.70 Alexander Immer
- 1711.10327 #2 · arxiv_oai · confidence 0.70 Alexander Immer
Frequent Coauthors
- Vincent Fortuin 10 shared papers
- Gunnar R\"atsch 6 shared papers
- Runa Eschenhagen 5 shared papers
- Mohammad Emtiyaz Khan 4 shared papers
- Agustinus Kristiadi 3 shared papers
- Mark van der Wilk 3 shared papers
- Matthias Bauer 3 shared papers
- Philipp Hennig 3 shared papers
- Alexander M\"ollers 2 shared papers
- Alex Bo-Yuan Chen 2 shared papers
- Alyson Petruncio 2 shared papers
- Aparna Dev 2 shared papers
- Aubrey Weigel 2 shared papers
- Bernhard Sch\"olkopf 2 shared papers
- Elvin Isufi 2 shared papers
- Florian Engert 2 shared papers
- Gudrun Ihrke 2 shared papers
- Jan-Matthis Lueckmann 2 shared papers
- Jeff W. Lichtman 2 shared papers
- Maciej Korzepa 2 shared papers