Jens Behrmann - RankMe

25 papers A* 4A 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. ICML Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Jörn-Henrik Jacobsen, Marco Cuturi
2025	J	`jnl`	Hybrid Modeling of Photoplethysmography for Non-invasive Monitoring of Cardiovascular Parameters. CoRR Emanuele Palumbo, Sorawit Saengkyongam, Maria R. Cervera, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Christina Heinze-Deml, Antoine Wehenkel
2025	J	`jnl`	Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference. CoRR Jens Behrmann, Maria R. Cervera, Antoine Wehenkel, Andrew C. Miller, Albert Cerussi, Pranay Jain, Vivek Venugopal, Shijie Yan, Guillermo Sapiro, Luca Pegolotti, Jörn-Henrik Jacobsen
2024	J	`jnl`	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. CoRR Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen
2024	J	`jnl`	Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers. CoRR Laura Manduchi, Antoine Wehenkel, Jens Behrmann, Luca Pegolotti, Andy C. Miller, Ozan Sener, Marco Cuturi, Guillermo Sapiro, Jörn-Henrik Jacobsen
2023	J	`jnl`	Robust Hybrid Learning With Expert Augmentation. Trans. Mach. Learn. Res. Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen
2023	J	`jnl`	Simulation-based Inference for Cardiovascular Models. CoRR Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen
2022	J	`jnl`	Robust Hybrid Learning With Expert Augmentation. CoRR Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen
2021	J	`jnl`	Generalization of the Change of Variables Formula with Applications to Residual Flows. CoRR Niklas Koenen, Marvin N. Wright, Peter Maaß, Jens Behrmann
2021	A	`conf`	Understanding and Mitigating Exploding Inverses in Invertible Neural Networks. AISTATS Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen
2020	A*	`conf`	Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations. ICML Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen
2020	J	`jnl`	Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations. CoRR Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen
2020	J	`jnl`	Understanding and mitigating exploding inverses in invertible neural networks. CoRR Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen
2019	J	`jnl`	Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data. CoRR Christian Etmann, Maximilian Schmidt, Jens Behrmann, Tobias Boskamp, Lena Hauberg-Lotte, Annette Peter, Rita Casadonte, Jörg Kriegsmann, Peter Maass
2019	—	`conf`	Excessive Invariance Causes Adversarial Vulnerability. ICLR (Poster) Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, Matthias Bethge
2019	J	`jnl`	Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness. CoRR Jörn-Henrik Jacobsen, Jens Behrmann, Nicholas Carlini, Florian Tramèr, Nicolas Papernot
2019	A*	`conf`	Invertible Residual Networks. ICML Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, Jörn-Henrik Jacobsen
2019	—	`—`	Principles of Neural Network Architecture Design - Invertibility and Domain Knowledge. Jens Behrmann
2019	A*	`conf`	Residual Flows for Invertible Generative Modeling. NeurIPS Tian Qi Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen
2019	J	`jnl`	Residual Flows for Invertible Generative Modeling. CoRR Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen
2018	J	`jnl`	Analysis of Invariance and Robustness via Invertibility of ReLU-Networks. CoRR Jens Behrmann, Sören Dittmer, Pascal Fernsel, Peter Maaß
2018	J	`jnl`	Deep learning for tumor classification in imaging mass spectrometry. Bioinform. Jens Behrmann, Christian Etmann, Tobias Boskamp, Rita Casadonte, Jörg Kriegsmann, Peter Maaß
2018	J	`jnl`	Excessive Invariance Causes Adversarial Vulnerability. CoRR Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, Matthias Bethge
2018	J	`jnl`	Invertible Residual Networks. CoRR Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen
2017	J	`jnl`	Deep Learning for Tumor Classification in Imaging Mass Spectrometry. CoRR Jens Behrmann, Christian Etmann, Tobias Boskamp, Rita Casadonte, Jörg Kriegsmann, Peter Maass