JL
Johannes Lederer
math.STstat.MLstat.THcs.LGstat.MEcs.AIstat.COstat.APcs.CVcs.NE
On Valency
published · living versionsW_s9gzxjyy·v1 · currentpublished
Market-Informed Networks for Modeling and Forecast Evaluation of Financial Extremes
with Ayla Jungbluth, Simon Trimborn
1 version
Preprints & journals
66 papers in the corpus · 2010–2026How Many Directions Must a Truncated Diffusion Sampler Retain? Matching Bounds Under Power-Law Spectra2610.10640v1 · Radmehr Karimian, Ali Mohades, Johannes Lederer2026 · 0 citationsarXiv
Market-Informed Networks for Modeling and Forecast Evaluation of Financial Extremes2609.11575v1 · Ayla Jungbluth, Johannes Lederer, Simon Trimborn2026 · 0 citationsarXivon Valency
Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation2605.22950v2 · Benedikt Lutke Schwienhorst, Nadja Klein, Johannes Lederer2026 · 0 citationsarXiv
Microstructure-informed constitutive modeling of granular media under multidirectional loading: From particle-scale to continuum.42056468 · Irani, Nazanin, Golestaneh, Pegah, Salimi, Mohammad et al.2026 · 2 citationsCommunications engineering. 2026;5(1)
Generative Modeling under Non-Monotone MAR Missingness via Approximate Wasserstein Gradient Flows2604.04567v2 · Gitte Kremling, Jeffrey Naf, Johannes Lederer2026 · 0 citationsarXiv
Non-asymptotic error bounds for probability flow ODEs under weak log-concavity2510.17608v1 · Gitte Kremling, Francesco Iafrate, Mahsa Taheri et al.2025 · 0 citationsarXiv
Regularized Learning for Fractional Brownian Motion via Path Signatures2506.16156v1 · Ali Mohaddes, Francesco Iafrate, Johannes Lederer2025 · 0 citationsarXiv
Impact of model parameter degeneracy on leptonic radiation models. The case of blazar multi-wavelength spectra2506.06080v1 · F. Apel, A. Omeliukh, A. Franckowiak et al.2025 · 1 citationA&A 702, A199 (2025)
Adaptive tail index estimation: minimal assumptions and non-asymptotic guarantees2505.22371v2 · Johannes Lederer, Anne Sabourin, Mahsa Taheri2025 · 0 citationsarXiv
Regularization can make diffusion models more efficient2502.09151v4 · Mahsa Taheri, Johannes Lederer2025 · 0 citationsarXiv
How many samples are needed to train a deep neural network?2405.16696v2 · Pegah Golestaneh, Mahsa Taheri, Johannes Lederer2024 · 2 citationsarXiv
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv22405.14529v3 · Simon Damm, Mike Laszkiewicz, Johannes Lederer et al.2024 · 69 citationsarXiv
Benchmarking the Fairness of Image Upsampling Methods2401.13555v3 · Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt et al.2024 · 4 citationsarXiv
Affine Invariance in Continuous-Domain Convolutional Neural Networks2311.09245v2 · Ali Mohaddes, Johannes Lederer2023 · 0 citationsarXiv
Set-Membership Inference Attacks using Data Watermarking2307.15067v1 · Mike Laszkiewicz, Denis Lukovnikov, Johannes Lederer et al.2023 · 0 citationsarXiv
Single-Model Attribution of Generative Models Through Final-Layer Inversion2306.06210v5 · Mike Laszkiewicz, Jonas Ricker, Johannes Lederer et al.2023 · 2 citationsarXiv
Extremes in High Dimensions: Methods and Scalable Algorithms2303.04258v2 · Johannes Lederer, Marco Oesting2023 · 1 citationarXiv
Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming2303.02114v1 · Somnath Chakraborty, Johannes Lederer, Rainer von Sachs2023 · 0 citationsarXiv
The DeepCAR Method: Forecasting Time-Series Data That Have Change Points2302.11241v1 · Ayla Jungbluth, Johannes Lederer2023 · 4 citationsarXiv
Cardinality Sparsity: Applications in Matrix-Matrix Multiplications and Machine Learning2302.08235v3 · Ali Mohades, Johannes Lederer2023 · 0 citationsarXiv
Statistical guarantees for sparse deep learning2212.05427v1 · Johannes Lederer2022 · 6 citationsarXiv
Marginal Tail-Adaptive Normalizing Flows2206.10311v2 · Mike Laszkiewicz, Johannes Lederer, Asja Fischer2022 · 2 citationsarXiv
Depth normalization of small RNA sequencing: using data and biology to select a suitable method.35188574 · Düren, Yannick, Lederer, Johannes, Qin, Li-Xuan2022 · 12 citationsNucleic acids research. 2022;50(10):e56
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks2205.04491v2 · Mahsa Taheri, Fang Xie, Johannes Lederer2022 · 0 citationsarXiv
VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering2202.00975v1 · Rebecca Marion, Johannes Lederer, Bernadette Govaerts et al.2022 · 0 citationsarXiv
Copula-Based Normalizing Flows2107.07352v1 · Mike Laszkiewicz, Johannes Lederer, Asja Fischer2021 · 2 citationsarXiv
Regularization and Reparameterization Avoid Vanishing Gradients in Sigmoid-Type Networks2106.02260v1 · Leni Ven, Johannes Lederer2021 · 5 citationsarXiv
DeepMoM: Robust Deep Learning With Median-of-Means2105.14035v2 · Shih-Ting Huang, Johannes Lederer2021 · 8 citationsarXiv
Targeted Deep Learning: Framework, Methods, and Applications2105.14052v1 · Shih-Ting Huang, Johannes Lederer2021 · 1 citationarXiv
Statistical guarantees for regularized neural networks.34000562 · Taheri, Mahsa, Xie, Fang, Lederer, Johannes2021 · 21 citationsNeural networks : the official journal of the International Neural Network Society. 2021;142:148-161
Integrating additional knowledge into the estimation of graphical models.33751875 · Bu, Yunqi, Lederer, Johannes2022 · 6 citationsThe international journal of biostatistics. 2021;18(1):1-17
Aggregating Knockoffs for False Discovery Rate Control with an Application to Gut Microbiome Data.33669462 · Xie, Fang, Lederer, Johannes2021 · 6 citationsEntropy (Basel, Switzerland). 2021;23(2)
Activation Functions in Artificial Neural Networks: A Systematic Overview2101.09957v1 · Johannes Lederer2021 · 50 citationsarXiv
Optimization Landscapes of Wide Deep Neural Networks Are Benign2010.00885v2 · Johannes Lederer2020 · 1 citationarXiv
Risk Bounds for Robust Deep Learning2009.06202v1 · Johannes Lederer2020 · 10 citationsarXiv
Is there a role for statistics in artificial intelligence?2009.09070v1 · Sarah Friedrich, Gerd Antes, Sigrid Behr et al.2020 · 78 citationsarXiv
Layer Sparsity in Neural Networks2006.15604v1 · Mohamed Hebiri, Johannes Lederer2020 · 10 citationsarXiv
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics2006.12296v2 · Sophie-Charlotte Klose, Johannes Lederer2020 · 3 citationsarXiv
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery2005.00466v2 · Mike Laszkiewicz, Asja Fischer, Johannes Lederer2020 · 6 citationsarXiv
Estimating the Lasso's Effective Noise2004.11554v2 · Johannes Lederer, Michael Vogt2020 · 31 citationsJournal of Machine Learning Research 2021, Vol. 22, 1-32
Tuning-free ridge estimators for high-dimensional generalized linear models2002.11916v1 · Shih-Ting Huang, Fang Xie, Johannes Lederer2020 · 6 citationsarXiv
Tuning parameter calibration for prediction in personalized medicine1909.10635v3 · Shih-Ting Huang, Yannick Duren, Kristoffer H. Hellton et al.2019 · 6 citationsarXiv
False Discovery Rates in Biological Networks1907.03808v3 · Lu Yu, Tobias Kaufmann, Johannes Lederer2019 · 5 citationsarXiv
Prediction Error Bounds for Linear Regression With the TREX1801.01394v1 · Jacob Bien, Irina Gaynanova, Johannes Lederer et al.2018 · 19 citationsarXiv
Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications1710.02950v2 · Rui Zhuang, Johannes Lederer2017 · 14 citationsarXiv
Inference for high-dimensional instrumental variables regression1708.05499v3 · David Gold, Johannes Lederer, Jing Tao2017 · 38 citationsarXiv
Integrating Additional Knowledge Into Estimation of Graphical Models1704.02739v2 · Yunqi Bu, Johannes Lederer2017 · 11 citationsarXiv
Tuning parameter calibration for -regularized logistic regression1610.00207v2 · Wei Li, Johannes Lederer2016 · 0 citationsarXiv
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression1609.07195v3 · Mahsa Taheri, N'eh'emy Lim, Johannes Lederer2016 · 3 citationsarXiv
Graphical Models for Discrete and Continuous Data1609.05551v3 · Rui Zhuang, Noah Simon, Johannes Lederer2016 · 7 citationsarXiv
Career total: 114 works. 66 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.