Scientific Articles

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.

Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. Nicklas Boserup, Raghavendra Selvan.

Addressing Sustainable ML Life-cycles through Human-Centered Design. Eya Ben Chaaben, Janin Koch.

Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation. Daniel Geißler, Bo Zhou, Paul Lukowicz.

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.

Energy Efficiency Impact of Processing in Memory: A Comprehensive Review of Workloads on the UPMEM Architecture. Yann Falevoz, Julien Legriel.

Novel Adaptive Quantization Methodology for 8-bit Floating-Point DNN Training. Mohammad Hassani Sadi, Chirag Sudarshan, and Norbert Wehn.

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.

The Power of Training: How Different Neural Network Setups Influence the Energy Demand. D. Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz.

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

Operating critical machine learning models in resource constrained regimes. Raghavendra Selvan, Julian Schön, Erik B Dam.

EC-NAS: Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search. Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan

Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization. Sebastian Eliassen, Raghavendra Selvan

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

Adaptive Conformal Regression with Jackknife+ Rescaled Scores. N. Deutschmann M. Rigotti, M. Rodriguez Martinez

Mixed selectivity: Cellular computations for complexity. KM Tye, EK Miller, FH Taschbach, MK Benna, M Rigotti, S Fusi

Energy-Efficient, Low-Latency and Non-contact Eye Blink Detection with Capacitive Sensing. Mengxi Liu, Sizhen Bian, Zimin Zhao, Bo Zhou, Paul Lukowicz