On Periodicity of Solutions For Thermocontrol Problems with Hysteresis-Type Switches. - Pavel Gurevich; Willi Jäger; Alexander Skubachevskii (SIAM J. Math. Anal., 2009)

TeleAdvisor: a versatile augmented reality tool for remote assistance. - Pavel Gurevich; Joel Lanir; Benjamin Cohen; Ran Stone (CHI, 2012)

Ownership and control of point of view in remote assistance. - Joel Lanir; Ran Stone; Benjamin Cohen; Pavel Gurevich (CHI, 2013)

Reaction-Diffusion Equations with Spatially Distributed Hysteresis. - Pavel Gurevich; Roman V. Shamin; Sergey Tikhomirov (SIAM J. Math. Anal., 2013)

Navigating immersive virtual environments through a foot controller. - Marcello Carrozzino; Giovanni Avveduto; Franco Tecchia; Pavel Gurevich; Benjamin Cohen (VRST, 2014)

Design and Implementation of TeleAdvisor: a Projection-Based Augmented Reality System for Remote Collaboration. - Pavel Gurevich; Joel Lanir; Benjamin Cohen (Comput. Support. Cooperative Work., 2015)

Asymptotics of sign-changing patterns in hysteretic systems with diffusive thresholds. - Pavel Gurevich; Dmitrii I. Rachinskii (Asymptot. Anal., 2016)

Learning uncertainty in regression tasks by deep neural networks. - Pavel Gurevich; Hannes Stuke (CoRR, 2017)

Rattling in Spatially Discrete Diffusion Equations with Hysteresis. - Pavel Gurevich; Sergey Tikhomirov (Multiscale Model. Simul., 2017)

Dynamics of Discrete Time Systems with a Hysteresis Stop Operator. - Maxim Arnold; Nikita Begun; Pavel Gurevich; Eyram Kwame; Harbir Lamba; Dmitrii I. Rachinskii (SIAM J. Appl. Dyn. Syst., 2017)

Gradient conjugate priors and deep neural networks. - Pavel Gurevich; Hannes Stuke (CoRR, 2018)

Pulses in FitzHugh-Nagumo Systems with Rapidly Oscillating Coefficients. - Pavel Gurevich; Sina Reichelt (Multiscale Model. Simul., 2018)

Asymptotics of the heat kernels on 2D lattices. - Pavel Gurevich (Asymptot. Anal., 2019)

Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors. - Pavel Gurevich; Hannes Stuke (CoRR, 2019)

Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty. - Pavel Gurevich; Hannes Stuke (Neurocomputing, 2019)

Gradient conjugate priors and multi-layer neural networks. - Pavel Gurevich; Hannes Stuke (Artif. Intell., 2020)

Dynamical Systems Approach to Outlier Robust Deep Neural Networks for Regression. - Pavel Gurevich; Hannes Stuke (SIAM J. Appl. Dyn. Syst., 2020)