Olga Saukh

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 41

Top Venues

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Olga Saukh
Escaping Adversarial Attacks with Egyptian Mirrors. FedEdge@MobiCom (2023)
Francesco Corti, Balz Maag, Joachim Schauer, Ulrich Pferschy, Olga Saukh
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints. CoRR (2023)
Hassaan Hydher, Markus Schuß, Olga Saukh, Carlo Alberto Boano, Kay Römer
Poster: Automatic Parameter Exploration for Low-Power Wireless Protocols. EWSN (2023)
Olga Saukh, Dong Wang, Xiaoxi He, Lothar Thiele
Representing Input Transformations by Low-Dimensional Parameter Subspaces. CoRR (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. CoRR (2023)
Francesco Corti, Christopher Hinterer, Julian Rudolf, Balz Maag, Joachim Schauer, Olga Saukh
Poster: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints on IoT Devices. EWSN (2023)
Karin Anna Hummel, Paul Smith, Markus Tauber, Peter Dorfinger, Olga Saukh
NET-IT: A Next Generation Intelligent Network Research Agenda. ERCIM News 2023 (133) (2023)
Rahim Entezari, Mitchell Wortsman, Olga Saukh, Moein Shariatnia, Hanie Sedghi, Ludwig Schmidt
The Role of Pre-training Data in Transfer Learning. CoRR (2023)
Salil S. Kanhere, Simone Silvestri, Olga Saukh, Sotiris E. Nikoletseas
Message from Program Chairs and the Steering Committee Chair. DCOSS-IoT (2023)
Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
REPAIR: REnormalizing Permuted Activations for Interpolation Repair. ICLR (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. NeurIPS (2023)
Nam Cao, Olga Saukh
Mitigating Distribution Shifts in Pollen Classification from Microscopic Images Using Geometric Data Augmentations. ICPADS (2023)
Nam Cao, Olga Saukh
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images. CoRR (2023)
Yun Cheng, Olga Saukh, Lothar Thiele
SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling. IEEE Internet Things J. 9 (20) (2022)
Franz Papst, Naomi Stricker, Rahim Entezari, Olga Saukh
To Share or Not to Share: On Location Privacy in IoT Sensor Data. IoTDI (2022)
Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh
Understanding the effect of sparsity on neural networks robustness. CoRR (2022)
Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. CoRR (2022)
Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images. AMAI@MICCAI (2022)
Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
REPAIR: REnormalizing Permuted Activations for Interpolation Repair. CoRR (2022)
Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. ICLR (2022)
Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh
Studying the impact of magnitude pruning on contrastive learning methods. CoRR (2022)
Johanna Einsiedler, Yun Cheng, Franz Papst, Olga Saukh
Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality. DCOSS (2021)
Yun Cheng, Olga Saukh, Lothar Thiele
TIP-Air: Tracking Pollution Transfer for Accurate Air Quality Prediction. UbiComp/ISWC Adjunct (2021)
Franz Papst, Katharina Schodl, Olga Saukh
Exploring Co-dependency of IoT Data Quality and Model Robustness in Precision Cattle Farming. SenSys (2021)
Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. CoRR (2021)
Markus-Philipp Gherman, Yun Cheng, Andres Gomez, Olga Saukh
Towards On-demand Gas Sensing. DCOSS (2021)
Markus-Philipp Gherman, Yun Cheng, Andres Gomez, Olga Saukh
Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning. SECON (2021)
Nam Cao, Matthias Meyer, Lothar Thiele, Olga Saukh
Automated Pollen Detection with an Affordable Technology. EWSN (2020)
Franz Papst, Naomi Stricker, Olga Saukh
Localization from activity sensor data: poster abstract. SenSys (2020)
Johanna Einsiedler, Yun Cheng, Franz Papst, Olga Saukh
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality. CoRR (2020)
Nam Cao, Matthias Meyer, Lothar Thiele, Olga Saukh
Pollen video library for benchmarking detection, classification, tracking and novelty detection tasks: dataset. DATA@SenSys (2020)
Nam Cao, Olga Saukh, Lothar Thiele
An automated real-time and affordable airborne pollen sensing system: poster abstract. IPSN (2019)
Grigore Stamatescu, Rahim Entezari, Kay Römer, Olga Saukh
Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events. ICPADS (2019)
Olga Saukh, Balz Maag
: fair and honest presentation coach in your pocket. IPSN (2019)
Franz Papst, Olga Saukh, Kay Römer, Florian Grandl, Igor Jakovljevic, Franz Steininger, Martin Mayerhofer, Jürgen Duda, Christa Egger-Danner
Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints. IOT (2019)
Rahim Entezari, Olga Saukh
Class-dependent Compression of Deep Neural Networks. CoRR (2019)
Olga Saukh
Capturing Inhalation Efficiency with Acoustic Sensors in Mobile Phones. RealWSN@SenSys (2018)
Olga Saukh, Franz Papst, Sergii Saukh
Synchronization Games in P2P Energy Trading. SmartGridComm (2018)
Balz Maag, Zimu Zhou, Olga Saukh, Lothar Thiele
SCAN: Multi-Hop Calibration for Mobile Sensor Arrays. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (2) (2017)
Balz Maag, Zimu Zhou, Olga Saukh, Lothar Thiele
BARTON: Low Power Tongue Movement Sensing with In-Ear Barometers. ICPADS (2017)
Balz Maag, Olga Saukh, David Hasenfratz, Lothar Thiele
Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors. EWSN (2016)
David Hasenfratz, Tabita Arn, Ivo de Concini, Olga Saukh, Lothar Thiele
Health-optimal routing in urban areas. IPSN (2015)
Olga Saukh, David Hasenfratz, Lothar Thiele
Reducing multi-hop calibration errors in large-scale mobile sensor networks. IPSN (2015)
Olga Saukh, David Hasenfratz, Lothar Thiele
Route selection for mobile sensor nodes on public transport networks. J. Ambient Intell. Humaniz. Comput. 5 (3) (2014)
David Hasenfratz, Olga Saukh, Christoph Walser, Christoph Hueglin, Martin Fierz, Lothar Thiele
Pushing the spatio-temporal resolution limit of urban air pollution maps. PerCom (2014)
David Hasenfratz, Olga Saukh, Lothar Thiele
Model-Driven Accuracy Bounds for Noisy Sensor Readings. DCOSS (2013)
Olga Saukh, David Hasenfratz, Christoph Walser, Lothar Thiele
On Rendezvous in Mobile Sensing Networks. REALWSN (2013)
David Hasenfratz, Olga Saukh, Christoph Walser, Christoph Hueglin, Martin Fierz, Lothar Thiele
Revealing the limits of spatio-temporal high-resolution pollution maps. SenSys (2013)
Marco Zimmerling, Federico Ferrari, Roman Lim, Olga Saukh, Felix Sutton, Reto Da Forno, Remo S. Schmidt, Marc André Wyss
A reliable wireless nurse call system: overview and pilot results from a summer camp for teenagers with duchenne muscular dystrophy. SenSys (2013)
David Hasenfratz, Silvan Sturzenegger, Olga Saukh, Lothar Thiele
Spatially Resolved Monitoring of Radio-Frequency Electromagnetic Fields. SENSEMINE@SenSys (2013)
Olga Saukh, David Hasenfratz, Abouzar Noori, Tamara Ulrich, Lothar Thiele
Route selection for mobile sensors with checkpointing constraints. PerCom Workshops (2012)
Matthias Keller, Jan Beutel, Olga Saukh, Lothar Thiele
Visualizing large sensor network data sets in space and time with vizzly. LCN Workshops (2012)
David Hasenfratz, Olga Saukh, Lothar Thiele
On-the-Fly Calibration of Low-Cost Gas Sensors. EWSN (2012)
Jason Jingshi Li, Boi Faltings, Olga Saukh, David Hasenfratz, Jan Beutel
Sensing the Air We Breathe - The OpenSense Zurich Dataset. AAAI (2012)
Robert Sauter, Olga Saukh, Oliver Frietsch, Pedro José Marrón
TinyLTS: Efficient network-wide Logging and Tracing System for TinyOS. INFOCOM (2011)
Robert Sauter, Richard Figura, Olga Saukh, Pedro José Marrón
Boreas: Efficient Synchronization for Scalable Emulation of Sensor Networks. MASS (2011)
Federico Ferrari, Marco Zimmerling, Lothar Thiele, Olga Saukh
Efficient network flooding and time synchronization with Glossy. IPSN (2011)
Olga Saukh, Robert Sauter, Matthias Gauger, Pedro José Marrón
On boundary recognition without location information in wireless sensor networks. ACM Trans. Sens. Networks 6 (3) (2010)
Matthias Gauger, Olga Saukh, Pedro José Marrón
Enlighten Me! Secure Key Assignment in Wireless Sensor Networks. MASS (2009)
Matthias Gauger, Olga Saukh, Pedro José Marrón
Talk to Me! On Interacting with Wireless Sensor Nodes. PerCom (2009)
Matthias Gauger, Pedro José Marrón, Marcus Handte, Olga Saukh, Daniel Minder, Andreas Jürgen Lachenmann, Kurt Rothermel
Integrating sensor networks in pervasive computing environments using symbolic coordinates. COMSWARE (2008)
Matthias Gauger, Olga Saukh, Marcus Handte, Pedro José Marrón, Andreas Heydlauff, Kurt Rothermel
Sensor-Based Clustering for Indoor Applications. SECON (2008)
Olga Saukh, Robert Sauter, Pedro José Marrón
Time-Bounded and Space-Bounded Sensing in Wireless Sensor Networks. DCOSS (2008)
Olga Saukh, Robert Sauter, Matthias Gauger, Pedro José Marrón, Kurt Rothermel
On Boundary Recognition without Location Information in Wireless Sensor Networks. IPSN (2008)
Olga Saukh, Robert Sauter, Jonas Meyer, Pedro José Marrón
MoteFinder: a deployment tool for sensor networks. REALWSN@EuroSys (2008)
Andreas Jürgen Lachenmann, Pedro José Marrón, Matthias Gauger, Daniel Minder, Olga Saukh, Kurt Rothermel
Removing the memory limitations of sensor networks with flash-based virtual memory. EuroSys (2007)
Andreas Jürgen Lachenmann, Pedro José Marrón, Daniel Minder, Olga Saukh, Matthias Gauger, Kurt Rothermel
Versatile Support for Efficient Neighborhood Data Sharing. EWSN (2007)
Andreas Jürgen Lachenmann, Pedro José Marrón, Daniel Minder, Matthias Gauger, Olga Saukh, Kurt Rothermel
TinyXXL: Language and Runtime Support for Cross-Layer Interactions. SECON (2006)
Olga Saukh, Pedro José Marrón, Andreas Jürgen Lachenmann, Matthias Gauger, Daniel Minder, Kurt Rothermel
Generic Routing Metric and Policies for WSNs. EWSN (2006)
Pedro José Marrón, Daniel Minder, Andreas Jürgen Lachenmann, Olga Saukh, Kurt Rothermel
Generic Model and Architecture for Cooperating Objects in Sensor Network Environments. Afr. J. Inf. Commun. Technol. 2 (1) (2006)
Pedro José Marrón, Matthias Gauger, Andreas Jürgen Lachenmann, Daniel Minder, Olga Saukh, Kurt Rothermel
FlexCup: A Flexible and Efficient Code Update Mechanism for Sensor Networks. EWSN (2006)
Pedro José Marrón, Andreas Jürgen Lachenmann, Daniel Minder, Matthias Gauger, Olga Saukh, Kurt Rothermel
Management and configuration issues for sensor networks. Int. J. Netw. Manag. 15 (4) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Olga Saukh