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2020 – today
- 2024
[c54]Martin Rechberger, Daniel Kraus, Peter Priller, Olga Saukh:
Exploring Human and Artificial Attention Mechanisms in Driving Scenarios. SEC 2024: 364-369- [i14]Jakob Shack, Katarina Petrovic, Olga Saukh:
Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection. CoRR abs/2410.19863 (2024) - 2023
- [c53]Salil S. Kanhere, Simone Silvestri, Olga Saukh, Sotiris E. Nikoletseas:
Message from Program Chairs and the Steering Committee Chair. DCOSS-IoT 2023: xxi-xxii - [c52]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: 301-302 - [c51]Hassaan Hydher, Markus Schuß, Olga Saukh, Carlo Alberto Boano, Kay Römer:
Poster: Automatic Parameter Exploration for Low-Power Wireless Protocols. EWSN 2023: 311-312 - [c50]Olga Saukh
:
Escaping Adversarial Attacks with Egyptian Mirrors. FedEdge@MobiCom 2023: 131-136 - [c49]Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur:
REPAIR: REnormalizing Permuted Activations for Interpolation Repair. ICLR 2023 - [c48]Nam Cao, Olga Saukh:
Mitigating Distribution Shifts in Pollen Classification from Microscopic Images Using Geometric Data Augmentations. ICPADS 2023: 525-533 - [c47]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 - [i13]Rahim Entezari, Mitchell Wortsman, Olga Saukh, Moein Shariatnia, Hanie Sedghi, Ludwig Schmidt:
The Role of Pre-training Data in Transfer Learning. CoRR abs/2302.13602 (2023) - [i12]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 abs/2304.14108 (2023) - [i11]Olga Saukh, Dong Wang, Xiaoxi He, Lothar Thiele:
Representing Input Transformations by Low-Dimensional Parameter Subspaces. CoRR abs/2305.13536 (2023) - [i10]Nam Cao, Olga Saukh:
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images. CoRR abs/2311.11029 (2023) - [i9]Francesco Corti, Balz Maag, Joachim Schauer, Ulrich Pferschy, Olga Saukh:
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints. CoRR abs/2311.13349 (2023) - [i8]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) - 2022
- [j6]Yun Cheng, Olga Saukh, Lothar Thiele:
SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling. IEEE Internet Things J. 9(20): 20577-20589 (2022) - [c46]Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur:
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. ICLR 2022 - [c45]Franz Papst, Naomi Stricker, Rahim Entezari, Olga Saukh:
To Share or Not to Share: On Location Privacy in IoT Sensor Data. IoTDI 2022: 128-140 - [c44]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: 108-117 - [i7]Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh:
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. CoRR abs/2206.07422 (2022) - [i6]Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh:
Understanding the effect of sparsity on neural networks robustness. CoRR abs/2206.10915 (2022) - [i5]Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh:
Studying the impact of magnitude pruning on contrastive learning methods. CoRR abs/2207.00200 (2022) - [i4]Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur:
REPAIR: REnormalizing Permuted Activations for Interpolation Repair. CoRR abs/2211.08403 (2022) - 2021
- [c43]Markus-Philipp Gherman, Yun Cheng, Andres Gomez, Olga Saukh:
Towards On-demand Gas Sensing. DCOSS 2021: 72-74 - [c42]Johanna Einsiedler, Yun Cheng, Franz Papst, Olga Saukh:
Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality. DCOSS 2021: 156-163 - [c41]Yun Cheng, Olga Saukh, Lothar Thiele:
TIP-Air: Tracking Pollution Transfer for Accurate Air Quality Prediction. UbiComp/ISWC Adjunct 2021: 589-599 - [c40]Markus-Philipp Gherman, Yun Cheng, Andres Gomez, Olga Saukh:
Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning. SECON 2021: 1-9 - [c39]Franz Papst, Katharina Schodl, Olga Saukh:
Exploring Co-dependency of IoT Data Quality and Model Robustness in Precision Cattle Farming. SenSys 2021: 433-438 - [i3]Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur:
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. CoRR abs/2110.06296 (2021) - 2020
- [c38]Nam Cao, Matthias Meyer, Lothar Thiele, Olga Saukh:
Automated Pollen Detection with an Affordable Technology. EWSN 2020: 108-119 - [c37]Nam Cao, Matthias Meyer, Lothar Thiele, Olga Saukh:
Pollen video library for benchmarking detection, classification, tracking and novelty detection tasks: dataset. DATA@SenSys 2020: 23-25 - [c36]Franz Papst, Naomi Stricker, Olga Saukh:
Localization from activity sensor data: poster abstract. SenSys 2020: 703-704 - [i2]Johanna Einsiedler, Yun Cheng, Franz Papst, Olga Saukh:
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality. CoRR abs/2011.10144 (2020)
2010 – 2019
- 2019
- [c35]Grigore Stamatescu, Rahim Entezari, Kay Römer, Olga Saukh:
Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events. ICPADS 2019: 639-646 - [c34]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: 27:1-27:4 - [c33]Olga Saukh, Balz Maag:
Quantle: fair and honest presentation coach in your pocket. IPSN 2019: 253-264 - [c32]Nam Cao, Olga Saukh, Lothar Thiele:
An automated real-time and affordable airborne pollen sensing system: poster abstract. IPSN 2019: 321-322 - [i1]Rahim Entezari, Olga Saukh:
Class-dependent Compression of Deep Neural Networks. CoRR abs/1909.10364 (2019) - 2018
- [c31]Olga Saukh:
Capturing Inhalation Efficiency with Acoustic Sensors in Mobile Phones. RealWSN@SenSys 2018: 19-24 - [c30]Olga Saukh, Franz Papst, Sergii Saukh:
Synchronization Games in P2P Energy Trading. SmartGridComm 2018: 1-6 - 2017
- [j5]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): 19:1-19:21 (2017) - [c29]Balz Maag, Zimu Zhou, Olga Saukh, Lothar Thiele:
BARTON: Low Power Tongue Movement Sensing with In-Ear Barometers. ICPADS 2017: 9-16 - 2016
- [c28]Balz Maag, Olga Saukh, David Hasenfratz, Lothar Thiele:
Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors. EWSN 2016: 169-180 - 2015
- [c27]Olga Saukh, David Hasenfratz, Lothar Thiele:
Reducing multi-hop calibration errors in large-scale mobile sensor networks. IPSN 2015: 274-285 - [c26]David Hasenfratz, Tabita Arn, Ivo de Concini, Olga Saukh, Lothar Thiele:
Health-optimal routing in urban areas. IPSN 2015: 398-399 - 2014
- [j4]Olga Saukh, David Hasenfratz, Lothar Thiele:
Route selection for mobile sensor nodes on public transport networks. J. Ambient Intell. Humaniz. Comput. 5(3): 307-321 (2014) - [c25]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: 69-77 - 2013
- [c24]David Hasenfratz, Olga Saukh, Lothar Thiele:
Model-Driven Accuracy Bounds for Noisy Sensor Readings. DCOSS 2013: 165-174 - [c23]Olga Saukh, David Hasenfratz, Christoph Walser, Lothar Thiele:
On Rendezvous in Mobile Sensing Networks. REALWSN 2013: 29-42 - [c22]David Hasenfratz, Silvan Sturzenegger, Olga Saukh, Lothar Thiele:
Spatially Resolved Monitoring of Radio-Frequency Electromagnetic Fields. SENSEMINE@SenSys 2013: 5:1-5:6 - [c21]David Hasenfratz, Olga Saukh, Christoph Walser, Christoph Hueglin, Martin Fierz, Lothar Thiele:
Revealing the limits of spatio-temporal high-resolution pollution maps. SenSys 2013: 28:1-28:2 - [c20]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: 35:1-35:2 - 2012
- [c19]Jason Jingshi Li, Boi Faltings, Olga Saukh, David Hasenfratz, Jan Beutel:
Sensing the Air We Breathe - The OpenSense Zurich Dataset. AAAI 2012: 323-325 - [c18]David Hasenfratz, Olga Saukh, Lothar Thiele:
On-the-Fly Calibration of Low-Cost Gas Sensors. EWSN 2012: 228-244 - [c17]Matthias Keller, Jan Beutel, Olga Saukh, Lothar Thiele:
Visualizing large sensor network data sets in space and time with vizzly. LCN Workshops 2012: 925-933 - [c16]Olga Saukh, David Hasenfratz, Abouzar Noori, Tamara Ulrich, Lothar Thiele:
Route selection for mobile sensors with checkpointing constraints. PerCom Workshops 2012: 266-271 - 2011
- [c15]Robert Sauter, Olga Saukh, Oliver Frietsch, Pedro José Marrón:
TinyLTS: Efficient network-wide Logging and Tracing System for TinyOS. INFOCOM 2011: 2033-2041 - [c14]Federico Ferrari, Marco Zimmerling, Lothar Thiele, Olga Saukh:
Efficient network flooding and time synchronization with Glossy. IPSN 2011: 73-84 - [c13]Robert Sauter, Richard Figura, Olga Saukh, Pedro José Marrón:
Boreas: Efficient Synchronization for Scalable Emulation of Sensor Networks. MASS 2011: 470-479 - 2010
- [j3]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): 20:1-20:35 (2010)
2000 – 2009
- 2009
- [b1]Olga Saukh:
Efficient algorithms for structuring wireless sensor networks. University of Bonn, 2009, ISBN 978-3-8325-2244-5, pp. 1-204 - [c12]Matthias Gauger, Olga Saukh, Pedro José Marrón:
Enlighten Me! Secure Key Assignment in Wireless Sensor Networks. MASS 2009: 246-255 - [c11]Matthias Gauger, Olga Saukh, Pedro José Marrón:
Talk to Me! On Interacting with Wireless Sensor Nodes. PerCom 2009: 1-8 - 2008
- [c10]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: 564-573 - [c9]Olga Saukh, Robert Sauter, Pedro José Marrón:
Time-Bounded and Space-Bounded Sensing in Wireless Sensor Networks. DCOSS 2008: 357-371 - [c8]Olga Saukh, Robert Sauter, Jonas Meyer, Pedro José Marrón:
MoteFinder: a deployment tool for sensor networks. REALWSN@EuroSys 2008: 41-45 - [c7]Olga Saukh, Robert Sauter, Matthias Gauger, Pedro José Marrón, Kurt Rothermel:
On Boundary Recognition without Location Information in Wireless Sensor Networks. IPSN 2008: 207-218 - [c6]Matthias Gauger, Olga Saukh, Marcus Handte, Pedro José Marrón, Andreas Heydlauff, Kurt Rothermel:
Sensor-Based Clustering for Indoor Applications. SECON 2008: 478-486 - 2007
- [c5]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: 131-144 - [c4]Andreas Jürgen Lachenmann, Pedro José Marrón, Daniel Minder, Olga Saukh, Matthias Gauger, Kurt Rothermel:
Versatile Support for Efficient Neighborhood Data Sharing. EWSN 2007: 1-16 - 2006
- [j2]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) - [c3]Olga Saukh, Pedro José Marrón, Andreas Jürgen Lachenmann, Matthias Gauger, Daniel Minder, Kurt Rothermel:
Generic Routing Metric and Policies for WSNs. EWSN 2006: 99-114 - [c2]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: 212-227 - [c1]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: 178-187 - 2005
- [j1]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): 235-253 (2005)
Coauthor Index
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