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Journal Articles
- 2020
[j11]Pavel Gurevich
, Hannes Stuke:
Gradient conjugate priors and multi-layer neural networks. Artif. Intell. 278 (2020)- [j10]Pavel Gurevich, Hannes Stuke:
Dynamical Systems Approach to Outlier Robust Deep Neural Networks for Regression. SIAM J. Appl. Dyn. Syst. 19(4): 2567-2593 (2020) - 2019
- [j9]Pavel Gurevich:
Asymptotics of the heat kernels on 2D lattices. Asymptot. Anal. 112(1-2): 107-124 (2019) - [j8]Pavel Gurevich, Hannes Stuke:
Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty. Neurocomputing 350: 291-306 (2019) - 2018
- [j7]Pavel Gurevich, Sina Reichelt:
Pulses in FitzHugh-Nagumo Systems with Rapidly Oscillating Coefficients. Multiscale Model. Simul. 16(2): 833-856 (2018) - 2017
- [j6]Pavel Gurevich, Sergey Tikhomirov:
Rattling in Spatially Discrete Diffusion Equations with Hysteresis. Multiscale Model. Simul. 15(3): 1176-1197 (2017) - [j5]Maxim Arnold, Nikita Begun, Pavel Gurevich, Eyram Kwame, Harbir Lamba, Dmitrii I. Rachinskii:
Dynamics of Discrete Time Systems with a Hysteresis Stop Operator. SIAM J. Appl. Dyn. Syst. 16(1): 91-119 (2017) - 2016
- [j4]Pavel Gurevich, Dmitrii I. Rachinskii:
Asymptotics of sign-changing patterns in hysteretic systems with diffusive thresholds. Asymptot. Anal. 96(1): 1-22 (2016) - 2015
- [j3]Pavel Gurevich, Joel Lanir, Benjamin Cohen:
Design and Implementation of TeleAdvisor: a Projection-Based Augmented Reality System for Remote Collaboration. Comput. Support. Cooperative Work. 24(6): 527-562 (2015) - 2013
- [j2]Pavel Gurevich, Roman V. Shamin, Sergey Tikhomirov:
Reaction-Diffusion Equations with Spatially Distributed Hysteresis. SIAM J. Math. Anal. 45(3): 1328-1355 (2013) - 2009
- [j1]Pavel Gurevich, Willi Jäger, Alexander Skubachevskii:
On Periodicity of Solutions For Thermocontrol Problems with Hysteresis-Type Switches. SIAM J. Math. Anal. 41(2): 733-752 (2009)
Conference and Workshop Papers
- 2014
- [c3]Marcello Carrozzino, Giovanni Avveduto, Franco Tecchia, Pavel Gurevich, Benjamin Cohen:
Navigating immersive virtual environments through a foot controller. VRST 2014: 23-26 - 2013
- [c2]Joel Lanir, Ran Stone, Benjamin Cohen, Pavel Gurevich:
Ownership and control of point of view in remote assistance. CHI 2013: 2243-2252 - 2012
- [c1]Pavel Gurevich, Joel Lanir, Benjamin Cohen, Ran Stone:
TeleAdvisor: a versatile augmented reality tool for remote assistance. CHI 2012: 619-622
Informal and Other Publications
- 2019
- [i3]Pavel Gurevich, Hannes Stuke:
Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors. CoRR abs/1905.08464 (2019) - 2018
- [i2]Pavel Gurevich, Hannes Stuke:
Gradient conjugate priors and deep neural networks. CoRR abs/1802.02643 (2018) - 2017
- [i1]Pavel Gurevich, Hannes Stuke:
Learning uncertainty in regression tasks by deep neural networks. CoRR abs/1707.07287 (2017)
Coauthor Index
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