Publications
Feel free to check out my Google scholar and my ResearchGate profiles.
2024
D. Wang, O. Saukh, X. He, L. Thiele, Subspace-Configurable Networks, Third Conference on Lifelong Learning Agents (CoLLAs), 2024. Accepted, to appear. ICLR Workshop on Practical ML for Limited/Low Resource Settings, 2024. To appear. [→arXiv] [→GitHub][→Web]
F. Corti, B. Maag, J. Schauer, U. Pferschy, O. Saukh, HADS: Hardware-Aware Deep Subnetworks, ICLR Workshop on Practical ML for Limited/Low Resource Settings, 2024. To appear. [→arXiv][→GitHub]
2023
F. Corti, B. Maag, J. Schauer, U. Pferschy, O. Saukh, REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints, preprint, 2023. [→arXiv][→GitHub]
N. Cao, O. Saukh, Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images, IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023. [→arXiv][→GitHub] [→Zenodo]
O. Saukh, D. Wang, X. He, L. Thiele, Subspace-Configurable Networks, preprint, 2023. [→arXiv] [→GitHub]
O. Saukh, Escaping Adversarial Attacks with Egyptian Mirrors, ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network (FedEdge), 2023. [→PDF][→GitHub]
F. Corti, C. Hinterer, J. Rudolf, B. Maag, J. Schauer, O. Saukh, Poster: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints on IoT Devices, Posters and Demos of EWSN, 2023. [→PDF][→GitHub]
H. Hydher , M. Schuß, O. Saukh, C. Boano, K. Römer, Poster: Automatic Parameter Exploration for Low-Power Wireless Protocols, Posters and Demos of EWSN, 2023. [→PDF]
K. Hummel, P. Smith, M. Tauber, P. Dorfinger, O. Saukh, NET-IT: A Next Generation Intelligent Network Research Agenda, ERCIM News, Special theme: Data Infrastructures and Management, 2023. [→Web][→PDF]
S. Gadre, G. Ilharco, A. Fang, J. Hayase, G. Smyrnis, T. Nguyen, R. Marten, M. Wortsman, D. Ghosh, J. Zhang, E. Orgad, R. Entezari, G. Daras, S. Pratt, V. Ramanujan, Y. Bitton, K. Marathe, S. Mussmann, R. Vencu, M. Cherti, R. Krishna, P. Koh, O. Saukh, A. Ratner, S. Song, H. Hajishirzi, A. Farhadi, R. Beaumont, S. Oh, A. Dimakis, J. Jitsev, Y. Carmon, V. Shankar, L. Schmidt, DataComp: In search of the next generation of multimodal datasets, NeurIPS Datasets and Benchmarks Track, 2023. [→arXiv] [→Web]
R. Entezari, M. Wortsman, O. Saukh, M. Shariatnia, H. Sedghi, L. Schmidt, The Role of Pre-training Data in Transfer Learning, ICLR 2023 Multimodal Representation Learning Workshop, 2023. [→arXiv]
K. Jordan, H. Sedghi, O. Saukh, R. Entezari, B. Neyshabur, REPAIR: Renormalizing Permuted Activations for Interpolation Repair, International Conference on Learning Representations (ICLR), 2023. [→arXiv] [→GitHub]
2022
R. Entezari, H. Sedghi, B. Neyshabur, O. Saukh, Weight-space ensembling of functionally diverse minima: Where does it all go wrong?, Sparsity in Neural Networks (SNN) Workshop, 2022.
F. Corti, R. Entezari, S. Hooker, D. Bacciu, O. Saukh, Studying the Impact of Magnitude Pruning on Contrastive Learning Methods ICML 2022 Workshop on Hardware Aware Efficient Training (HAET). In Sparsity in Neural Networks (SNN) Workshop, 2022. [→arXiv] [→Poster]
M. Shariatnia, R. Entezari, M. Wortsman, O. Saukh, L. Schmidt, How Well do Contrastively Trained Models Transfer?, ICML 2022 Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward, 2022. [→OpenReview]
Y. Cheng, O. Saukh, L. Thiele, SensorFormer: Efficient Many-to-Many Sensor Calibration with Learnable Input Sub-Sampling, IEEE Internet of Things Journal (IoT-J), 2022. [→IEEE Xplore]
F. Papst, N. Stricker, R. Entezari, O. Saukh, To Share or Not to Share: On Location Privacy in IoT Sensor Data International Conference on Internet of Things Design and Implementation (IoTDI), 2022. [→PDF]
R. Entezari, H. Sedghi, O. Saukh, B. Neyshabur, The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks International Conference on Learning Representations (ICLR), 2022. [→OpenReview] [→arXiv] [→GitHub]
2021
F. Papst, K. Schodl, O. Saukh, Exploring Co-dependency of IoT Data Quality and Model Robustness in Precision Cattle Farming, International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT), 2021. [→PDF]
Y. Cheng, O. Saukh, L. Thiele, TIP-Air: Tracking Pollution Transfer for Accurate Air Quality Prediction, UbiComp Workshop: Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD), 2021. Best paper runner-up [→PDF]
L. Timpl, R. Entezari, H. Sedghi, B. Neyshabur, O. Saukh, Understanding the Effect of Sparsity on Neural Networks' Robustness, ICML OPPO Workshop: Overparameterization: Pitfalls and Opportunities (Spotlight), 2021. In Sparsity in Neural Networks (SNN workshop), 2021. [→Poster] [→PDF]
R. Entezari, H. Sedghi, O. Saukh, B. Neyshabur, The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks, Sparsity in Neural Networks (SNN workshop), 2021. [→Poster] [→arXiv] [→GitHub]
J. Einsiedler, Y. Cheng, F. Papst, O. Saukh, Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality, International Workshop on Urban Computing (UrbCom), 2021. Best paper award [→PDF] [→GitHub]
M-P. Gherman, Y. Cheng, A. Gomez, O. Saukh, Towards On-demand Gas Sensing, International Conference on Distributed Computing in Sensor Systems (DCOSS), 2021. [→PDF]
M-P. Gherman, Y. Cheng, A. Gomez, O. Saukh, Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning, International Conference on Sensing, Communication and Networking (SECON), 2021. Best paper award [→PDF] [→DATA]
2020
J. Einsiedler, Y. Cheng, F. Papst, O. Saukh, Technical Report: Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality, 2020. [→GitHub] [→DATA] [→arXiv]
N. Cao, M. Meyer, L. Thiele, O. Saukh, Dataset: Pollen Video Library for Benchmarking Detection, Classification, Tracking and Novelty Detection Tasks, Workshop on Data Acquisition to Analysis (DATA), 2020. [→PDF] [→GitHub] [→DATA]
F. Papst, N. Stricker, O. Saukh, Poster Abstract: Localization from Activity Sensor Data, ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020. [→PDF] [→GitHub]
N. Cao, M. Meyer, L. Thiele, O. Saukh, Automated Pollen Detection with an Affordable Technology, International Conference on Embedded Wireless Systems and Networks (EWSN), 2020. [→PDF] [→GitHub] [→DATA]
N. Cao, M. Meyer, O. Saukh, Microscopic Images of Pollen Captured in Graz, Austria, 2020. [→Zenodo]
R. Entezari, O. Saukh, Class-dependent Compression of Deep Neural Networks, International Workshop on Machine Learning on Edge in Sensor Systems (Sensys-ML @ CPS-IoT Week), 2020. [→GitHub] [→arXiv]
2019
O. Saukh, Embedded Sensing Systems: Design, Models, Algorithms, and Applications, Habilitation thesis, TU Graz, Austria, 2019.
G. Stamatescu, R. Entezari, K. Roemer, O. Saukh, Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events, IEEE International Conference on Parallel and Distributed System (ICPADS), 2019. [→PDF]
B. Maag, D. Hasenfratz, O. Saukh, Z. Zhou, C. Walser, J. Beutel, L. Thiele, Ozone and Carbon Monoxide Dataset Collected by the OpenSense Zurich Mobile Sensor Network, 2019. [→Zenodo]
F. Papst, O. Saukh, K. Roemer, F. Grandl, I. Jakovljevic, F. Steininger, M. Mayerhofer, J. Duda, C. Egger-Danner, Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints, International Conference on the Internet of Things (IoT), 2019. [→PDF]
F. Grandl, J. Kofler, M. Suntinger, P. Majcen, M. Mayerhofer, F. Papst, O. Saukh, M. Fallast, A. Turkaspa, F. Steininger, K. Linke, J. Duda, T. Wittek, B. Fuerst-Waltl, F.J. Auer, C. Egger-Danner, Opportunities and Challenges of New Technologies for Performance Recording with Focus on Claw Health and Metabolism, ICAR Conference, 2019. [→Abstract] [→PDF]
C. Egger-Danner, B. Fuerst-Waltl, P. Klimek, O. Saukh, T. Wittek, D4Dairy-Consortium, Internet of Cows - Opportunities and Challenges for Improving Health, Welfare and Efficiency in Dairying, ICAR Conference, 2019. [→Abstract] [→PDF]
O. Saukh, B. Maag, Quantle: Fair and Honest Presentation Coach in Your Pocket, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2019. [→PDF] [→GitHub]
N. Cao, O. Saukh, L. Thiele, Poster Abstract: An Automated Real-time and Affordable Airborne Pollen Sensing System, Demos and Posters of IPSN 2019. [→PDF]
2018
B. Maag, D. Hasenfratz, O. Saukh, Z. Zhou, C. Walser, J. Beutel, L. Thiele, Ultrafine Particle Dataset Collected By The Opensense Zurich Mobile Sensor Network, 2018. [→Zenodo]
O. Saukh, Capturing Inhalation Efficiency with Acoustic Sensors in Mobile Phones, International Workshop on Real-World Embedded Wireless Systems and Networks (RealWSN), 2018. [→PDF]
O. Saukh, F. Papst, S. Saukh, Synchronization Games in P2P Energy Trading, IEEE SmartGridComm: Workshop on AI in Energy Systems, 2018. [→PDF]
2017
B. Maag, Z. Zhou, O. Saukh, L. Thiele, BARTON: Low Power Tongue Movement Sensing with In-ear Barometers, IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2017. Best paper award [→PDF]
B. Maag, Z. Zhou, O. Saukh, L. Thiele, SCAN: Multi-Hop Calibration for Mobile Sensor Arrays, ACM Journal on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT and UBICOMP), 2017. [→PDF] [→GItHub] [→Zenodo] [→DATA]
2016
B. Maag, O. Saukh, D. Hasenfratz, L. Thiele, Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors, International Conference on Embedded Wireless Systems and Networks (EWSN), 2016. [→PDF]
M. Mueller, D. Hasenfratz, O. Saukh, M. Fierz, C. Hueglin, Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network, Journal of Atmospheric Environment, Elsevier, 2016. [→PDF]
2015
O. Saukh, D. Hasenfratz, L. Thiele, Reducing Multi-Hop Calibration Errors in Mobile Sensor Networks, IEEE/ACM International Conference on Information Processing in Sensor Networks (IPSN), 2015. Best paper award [→PDF]
D. Hasenfratz, O. Saukh, C. Walser, C. Hueglin, M. Fierz, T. Arn, J. Beutel, L. Thiele, Deriving High-Resolution Urban Air Pollution Maps Using Mobile Sensor Nodes, Journal of Pervasive and Mobile Computing (PMC), Elsevier, 2015. [→PDF]
D. Hasenfratz, T. Arn, I. de Concini, O. Saukh, L. Thiele, Demo Abstract: Health-Optimal Routing in Urban Areas, Demos and Posters of IPSN, 2015. [→PDF]
2013
D. Hasenfratz, S. Sturzenegger, O. Saukh, L. Thiele, Spatially Resolved Monitoring of Radio-Frequency Electromagnetic Fields, International Workshop on Sensing and Big Data Mining (SenseMine), 2013. [→PDF]
O. Saukh, D. Hasenfratz, C. Walser, L. Thiele, On Rendezvous in Mobile Sensing Networks, Workshop on Real-World Wireless Sensor Networks (RealWSN), 2013. [→PDF]
D. Hasenfratz, O. Saukh, L. Thiele, Model-Driven Accuracy Bounds for Noisy Sensor Readings, IEEE Conference on Distributed Computing in Sensor Systems (DCoSS), 2013. [→PDF]
O. Saukh, D. Hasenfratz, L. Thiele, Route Selection for Mobile Sensor Nodes on Public Transport Networks, Journal of Ambient Intelligence and Humanized Computing, Springer, 2013. [→PDF]
D. Hasenfratz, O. Saukh, C. Walser, C. Hueglin, M. Fierz, L. Thiele, Poster Abstract: Revealing the Limits of Spatio-Temporal High-Resolution Pollution Maps, Demos and Posters of SenSys, 2013. [→PDF]
M. Zimmerling, F. Ferrari, R. Lim, O. Saukh, F. Sutton, R. Da Forno, R. S. Schmid, M. A. Wyss, Poster Abstract: A Reliable Wireless Nurse Call System: Overview and Pilot Results from a Summer Camp for Teenagers with Duchenne Muscular Dystrophy, Demos and Posters of SenSys, 2013. [→PDF]
2012
M. Keller, J. Beutel, O. Saukh, L. Thiele, Visualizing Large Sensor Network Data Sets in Space and Time with Vizzly, IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp), 2012. [→PDF]
K. Flouri, O. Saukh, R. Sauter, K. E. Jalsan, R. Bischoff, J. Meyer, G. Feltrin, A versatile software architecture for civil structure monitoring with wireless sensor networks, Smart Structures and Systems Journal, Vol. 10, Nr. 3, pp 209–228, Techno Press, 2012. [→PDF]
J. J. Li, B. Faltings, O. Saukh, D. Hasenfratz, J. Beutel, Sensing the Air We Breathe - the OpenSense Dataset, International Conference on Artificial Intelligence (AAAI), 2012. [→PDF]
D. Hasenfratz, O. Saukh, S. Sturzenegger, L. Thiele, Participatory Air Pollution Monitoring Using Smartphones, International Workshop on Mobile Sensing: From Smartphones and Wearables to Big Data, 2012. [→PDF]
O. Saukh, D. Hasenfratz, A. Noori, T. Ulrich, L. Thiele, Route Selection for Mobile Sensors with Checkpointing Constraints, International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS), 2012. [→PDF]
D. Hasenfratz, O. Saukh, L. Thiele, On-the-fly Calibration of Low-cost Gas Sensors, European Conference on Wireless Sensor Networks (EWSN), 2012. [→PDF]
O. Saukh, D. Hasenfratz, A. Noori, T. Ulrich, L. Thiele, Demo Abstract: Route Selection of Mobile Sensors for Air Quality Monitoring, Demos and Posters of EWSN, 2012. [→PDF]
2011
R. Sauter, R. Figura, O. Saukh, P. J. Marrón, Boreas: Efficient Synchronization for Scalable Emulation of Sensor Networks, IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2011. [→PDF]
R. Sauter, O. Saukh, O. Frietsch, P. J. Marrón, TinyLTS: Efficient Network-Wide Logging and Tracing System for TinyOS, IEEE International Conference on Computer Communications (INFOCOM), 2011. [→PDF]
F. Ferrari, M. Zimmerling, L. Thiele, O. Saukh, Efficient Network Flooding and Time Synchronization with Glossy, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2011. Best paper award [→PDF]
G. Feltrin, O. Saukh, R. Bischoff, J. Meyer, M. Motavalli, Structural Monitoring with Wireless Sensor Networks: Experiences From Field Deployments, Middle East Conference on Smart Monitoring (SMAR), 2011. [→PDF]
2009
O. Saukh, R. Sauter, P. J. Marrón, Convex Groups for Self-organizing Multi-sink Wireless Sensor Networks IEEE Industrial Electronics Society (IECON), 2009. [→PDF]
M. Gauger, O. Saukh, P. J. Marrón, Enlighten Me! Secure Key Assignment in Wireless Sensor Networks, IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2009. [→PDF]
M. Gauger, O. Saukh, P. J. Marrón, Talk to Me! On Interacting with Wireless Sensor Nodes, IEEE International Conference on Pervasive Computing and Communications (PerCom), 2009. [→PDF]
O. Saukh, Efficient Algorithms for Structuring Wireless Sensor Networks, Ph.D. thesis, University of Bonn, Logos Verlag Berlin, ISBN 978-3-8325-2244-5 Berlin, Germany, 2009. [→PDF]
2008
O. Saukh, R. Sauter, P. J. Marrón, Time-Bounded and Space-Bounded Sensing in Wireless Sensor Networks, IEEE international conference on Distributed Computing in Sensor Systems (DCOSS), pp 357–371, Springer-Verlag, 2008. [→PDF]
M. Gauger, O. Saukh, M. Handte, P. J. Marrón, A. Heydlauff, K. Rothermel, Sensor-based clustering for indoor applications, IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp 478–486, 2008. [→PDF]
O. Saukh, R. Sauter, J. Meyer, P. J. Marrón, MoteFinder: a deployment tool for sensor networks, ACM Workshop on Real-World Wireless Sensor Networks (REALWSN), pp 41–45, 2008. [→PDF]
O. Saukh, R. Sauter, M. Gauger, P. J. Marrón, Kurt Rothermel, On Boundary Recognition without Location Information in Wireless Sensor Networks, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp 207–218, 2008. [→PDF]
M. Gauger, P. J. Marrón, M. Handte, O. Saukh, D. Minder, A. Lachenmann, K. Rothermel, Integrating sensor networks in pervasive computing environments using symbolic coordinates, IEEE Conference on Communication System Software and Middleware (COMSWARE), pp 564–573, 2008. [→PDF]
2007
A. Lachenmann, P. J. Marrón, M. Gauger, D. Minder, O. Saukh, K. Rothermel, Removing the Memory Limitations of Sensor Networks with Flash-Based Virtual Memory, ACM EuroSys Conference, pp 131–144, 2007. [→PDF]
A. Lachenmann, P. J. Marrón, D. Minder, O. Saukh, M. Gauger, K. Rothermel, Versatile Support for Efficient Neighborhood Data Sharing, European Conference on Wireless Sensor Networks (EWSN), pp 1–16, 2007. [→PDF]
2006
A. Lachenmann, P. J. Marrón, D. Minder, M. Gauger, O. Saukh, K. Rothermel, TinyXXL: Language and Runtime Support for Cross-Layer Interactions, IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON) pp 178–187, 2006. [→PDF]
P. J. Marrón, R. Sauter, O. Saukh, M. Gauger, K. Rothermel, Challenges of Complex Data Processing in Real World Sensor Network Deployments, ACM Workshop on Real-World Wireless Sensor Networks (REALWSN), pp 43–47, 2006. [→PDF]
O. Saukh, P. J. Marrón, A. Lachenmann, M. Gauger, D. Minder, K. Rothermel, Generic Routing Metric and Policies for WSNs, European Workshop on Wireless Sensor Networks (EWSN), pp 99–114, 2006. [→PDF]
P. J. Marrón, M. Gauger, A. Lachemannn, D. Minder, O. Saukh, K. Rothermel, FlexCup: A Flexible and Efficient Code Update Mechanism for Sensor Networks, European Workshop on Wireless Sensor Networks (EWSN), pp 212–227, 2006. [→PDF]