Fabian H. Sinz

56 papers A* 15A 1Journal 26Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Distribution Balancing for Counterfactual Reasoning. Mach. Learn. Stefan Schrod, Fabian H. Sinz, Michael Altenbuchinger
2026	J	`jnl`	EMBC Special Issue: Calibrated Uncertainty for Trustworthy Clinical Gait Analysis Using Probabilistic Multiview Markerless Motion Capture. CoRR Seth Donahue, Irina Djuraskovic, Kunal Shah, Fabian H. Sinz, Ross Chafetz, R. James Cotton
2025	J	`jnl`	Beyond Pixels: A Differentiable Pipeline for Probing Neuronal Selectivity in 3D. CoRR Pavithra Elumalai, Mohammad Bashiri, Goirik Chakrabarty, Suhas Shrinivasan, Fabian H. Sinz
2025	J	`jnl`	Biomechanical Reconstruction with Confidence Intervals from Multiview Markerless Motion Capture. CoRR R. James Cotton, Fabian H. Sinz
2025	A*	`conf`	Learning and aligning single-neuron invariance manifolds in visual cortex. ICLR Mohammad Bashiri, Luca Baroni, Ján Antolík, Fabian H. Sinz
2025	J	`jnl`	Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning. CoRR Sara Rajaram, R. James Cotton, Fabian H. Sinz
2024	J	`jnl`	Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks. PLoS Comput. Biol. Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George H. Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker
2024	J	`jnl`	Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors. CoRR Finn Schmidt, Suhas Shrinivasan, Polina Turishcheva, Fabian H. Sinz
2024	J	`jnl`	Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation. CoRR Pawel A. Pierzchlewicz, Caio da Silva, R. James Cotton, Fabian H. Sinz
2024	J	`jnl`	Probabilistic neural transfer function estimation with Bayesian system identification. PLoS Comput. Biol. Nan Wu, Isabel Valera, Fabian H. Sinz, Alexander S. Ecker, Thomas Euler, Yongrong Qiu
2024	—	`conf`	RESIST: Remapping EIT Signals Using Implicit Spatially-Aware Transformer. ML4H@NeurIPS Dominik Becker, Anita Just, Günter Hahn, Peter Herrmann, Leif Saager, Fabian H. Sinz
2024	A*	`conf`	Reproducibility of predictive networks for mouse visual cortex. NeurIPS Polina Turishcheva, Max F. Burg, Fabian H. Sinz, Alexander S. Ecker
2024	A*	`conf`	Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos. NeurIPS Polina Turishcheva, Paul G. Fahey, Michaela Vystrcilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie Rochefort, Arno Onken, Eric Y. Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker
2023	J	`jnl`	Adversarial Distribution Balancing for Counterfactual Reasoning. CoRR Stefan Schrod, Fabian H. Sinz, Michael Altenbuchinger
2023	A*	`conf`	Bayesian Oracle for bounding information gain in neural encoding models. ICLR Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz
2023	J	`jnl`	Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters. Künstliche Intell. Abel Barreto, Lasse Reifenrath, Richard Vogg, Fabian H. Sinz, Anne-Katrin Mahlein
2023	A*	`conf`	Energy Guided Diffusion for Generating Neurally Exciting Images. NeurIPS Pawel A. Pierzchlewicz, Konstantin Willeke, Arne Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil S. Patel, Katrin Franke, Andreas S. Tolias, Fabian H. Sinz
2023	J	`jnl`	HARD: Hard Augmentations for Robust Distillation. CoRR Arne F. Nix, Max F. Burg, Fabian H. Sinz
2023	—	`conf`	Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting. Tiny Papers @ ICLR Pawel A. Pierzchlewicz, Mohammad Bashiri, R. James Cotton, Fabian H. Sinz
2023	A*	`conf`	Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system. NeurIPS Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Edgar Y. Walker, Fabian H. Sinz
2022	A	`conf`	Can Functional Transfer Methods Capture Simple Inductive Biases? AISTATS Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian H. Sinz
2022	—	`conf`	Learning invariance manifolds of visual sensory neurons. NeurReps Luca Baroni, Mohammad Bashiri, Konstantin F. Willeke, Ján Antolík, Fabian H. Sinz
2022	J	`jnl`	Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions. CoRR Pawel A. Pierzchlewicz, R. James Cotton, Mohammad Bashiri, Fabian H. Sinz
2022	J	`jnl`	The Sensorium competition on predicting large-scale mouse primary visual cortex activity. CoRR Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz
2021	A*	`conf`	A flow-based latent state generative model of neural population responses to natural images. NeurIPS Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz
2021	A*	`conf`	Generalization in data-driven models of primary visual cortex. ICLR Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y. Walker, Santiago A. Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S. Ecker, Fabian H. Sinz
2021	—	`conf`	Retrospective on the SENSORIUM 2022 competition. NeurIPS (Competition and Demos) Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz
2021	A*	`conf`	Towards robust vision by multi-task learning on monkey visual cortex. NeurIPS Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Fabian H. Sinz
2021	J	`jnl`	Towards robust vision by multi-task learning on monkey visual cortex. CoRR Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Fabian H. Sinz
2020	J	`jnl`	Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses. CoRR R. James Cotton, Fabian H. Sinz, Andreas S. Tolias
2020	A*	`conf`	Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses. NeurIPS R. James Cotton, Fabian H. Sinz, Andreas S. Tolias
2020	A*	`conf`	Rotation-invariant clustering of neuronal responses in primary visual cortex. ICLR Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker
2019	—	`conf`	A rotation-equivariant convolutional neural network model of primary visual cortex. ICLR (Poster) Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge
2019	J	`jnl`	Learning From Brains How to Regularize Machines. CoRR Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
2019	A*	`conf`	Learning from brains how to regularize machines. NeurIPS Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
2018	J	`jnl`	A rotation-equivariant convolutional neural network model of primary visual cortex. CoRR Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge
2018	A*	`conf`	Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. NeurIPS Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias
2017	—	`conf`	Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. ICLR (Poster) Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
2016	J	`jnl`	Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. CoRR Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
2013	—	`conf`	Least Informative Dimensions. NIPS Fabian H. Sinz, Anna Stockl, Jan Grewe, Jan Benda
2013	J	`jnl`	Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. PLoS Comput. Biol. Fabian H. Sinz, Matthias Bethge
2013	J	`jnl`	What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Comput. Fabian H. Sinz, Matthias Bethge
2012	—	`—`	Orientation Selectivity and Contrast Gain Control in Representations of Natural Images (Orientierungsselektivität und Kontrastverstärkungsregelung in Repräsentationen von natürlichen Bildern) Fabian H. Sinz
2011	J	`jnl`	In All Likelihood, Deep Belief Is Not Enough. J. Mach. Learn. Res. Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge
2010	J	`jnl`	In All Likelihood, Deep Belief Is Not Enough CoRR Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge
2009	J	`jnl`	Characterization of the p-generalized normal distribution. J. Multivar. Anal. Fabian H. Sinz, Sebastian Gerwinn, Matthias Bethge
2009	—	`conf`	Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. NIPS Fabian H. Sinz, Eero P. Simoncelli, Matthias Bethge
2009	J	`jnl`	Natural Image Coding in V1: How Much Use Is Orientation Selectivity? PLoS Comput. Biol. Jan Eichhorn, Fabian H. Sinz, Matthias Bethge
2008	—	`conf`	The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. NIPS Fabian H. Sinz, Matthias Bethge
2007	—	`conf`	An Analysis of Inference with the Universum. NIPS Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf
2006	A*	`conf`	Inference with the Universum. ICML Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik
2006	J	`jnl`	Large Scale Transductive SVMs. J. Mach. Learn. Res. Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
2006	A*	`conf`	Trading convexity for scalability. ICML Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
2005	—	`conf`	Evaluating Predictive Uncertainty Challenge. MLCW Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf
2004	—	`conf`	Learning Depth from Stereo. DAGM-Symposium Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz
2004	—	`conf`	Modelling Spikes with Mixtures of Factor Analysers. DAGM-Symposium Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos K. Logothetis