Publications
A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, and Paul Lukowicz.
International Symposium on Biomedical Imaging (ISBI), IEEE April 2023
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. Nicklas Boserup, Raghavendra Selvan.
Northern Lights Deep Learning Conference
Addressing Sustainable ML Life-cycles through Human-Centered Design. Eya Ben Chaaben, Janin Koch.
HCI for climate change,April 2023
Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation. Daniel Geißler, Bo Zhou, Paul Lukowicz.
International Joint Conference for
Artificial Intelligence (IJCAI 2023), May 2023
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. Mengxi Liu; Bo Zhou; Zimin Zhao; Hyeonseok Hong; Hyun Kim; Sungho Suh; Vitor Fortes Rey; Paul Lukowicz.
IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP23), July 2023
Energy Efficiency Impact of Processing in Memory: A Comprehensive Review of Workloads on the UPMEM Architecture. Yann Falevoz, Julien Legriel.
Workshop on Performance and Energy-efficiency in Concurrent and Distributed Systems (PECS 2023, Co-located with Euro-PAR 2023)
Novel Adaptive Quantization Methodology for 8-bit Floating-Point DNN Training. Mohammad Hassani Sadi, Chirag Sudarshan, and Norbert Wehn.
Springer Journal of Design Automation for Embedded Systems (2023)
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition. M. Liu, Zimin Zhao, Daniel Geißler, Bo Zhou, Sungho Suh, Paul Lukowicz.
AAAI 2024 Sustainble AI workshop, January, 2024
The Power of Training: How Different Neural Network Setups Influence the Energy Demand. D. Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz.
AAAI 2024 Sustainable AI workshop, January 2024
Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging. Nicholas E. Souter, Loïc Lannelongue, Gabrielle Samuel, Chris Racey, Lincoln J. Colling, Nikhil Bhagwat, Raghavendra Selvan, Charlotte L. Rae
Journal of Imaging Neuroscience
Operating critical machine learning models in resource constrained regimes. Raghavendra Selvan, Julian Schön, Erik B Dam.
Resource Efficient Medical Image Analysis Workshop at MICCAI2023, 2023
EC-NAS: Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search. Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization. Sebastian Eliassen, Raghavendra Selvan
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Probabilistic feature matching for fast scalable visual prompting. Thomas Frick, Cezary Skura, Filip M. Janicki, Roy Assaf, Niccolo Avogaro, Daniel Caraballo, Yagmur G. Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi , Mattia Rigotti
International Joint Conference for Artificial Intelligence (IJCAI 2024), August 2024
Adaptive Conformal Regression with Jackknife+ Rescaled Scores. N. Deutschmann M. Rigotti, M. Rodriguez Martinez
Transactions on Machine Learning Research, TMLR 2024
Mixed selectivity: Cellular computations for complexity. KM Tye, EK Miller, FH Taschbach, MK Benna, M Rigotti, S Fusi
Neuron, 2024
Energy-Efficient, Low-Latency and Non-contact Eye Blink Detection with Capacitive Sensing. Mengxi Liu, Sizhen Bian, Zimin Zhao, Bo Zhou, Paul Lukowicz
Frontiers in Computer Science