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Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina MC Höhne
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Iris Groen, Jascha Achterberg et al.
Getting aligned on representational alignment
Marco Corsi, Giorgio Pasquali, Chiara Pratola, Simone Tilia, Sergios-Anestis Kefalidis, Konstantinos Plas, Mariangela Pollali, Eleni Tsalapati, Myrto Tsokanaridou, Manolis Koubarakis et al.
DA4DTE: DEVELOPING A DIGITAL ASSISTANT FOR SATELLITE DATA ARCHIVES
Stefan Czybik, Micha Horlboge, Konrad Rieck
Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith
Improving neural network representations using human similarity judgments
Lars Möllenbrok, Gencer Sumbul, Begüm Demir
Deep Active Learning for Multi-Label Classification of Remote Sensing Images
Kim Andrea Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kuhn, Klaus-Robert Muller, Paolo Stornati, Pan Kessel, Shinichi Nakajima et al.
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Hassan El-Hajj, Matteo Valleriani
Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck