Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory von Pintea, Silvia L., Tomen, Nergis, Goes, Stanley F., Loog, Marco, van Gemert, Jan C.

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Benchmarking of hardware-efficient real-time neural decoding in brain–computer interfaces von Hueber, Paul, Tang, Guangzhi, Sifalakis, Manolis, Liaw, Hua-Peng, Micheli, Aurora, Tomen, Nergis, Liu, Yao-Hong

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Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems von Garcia, Alejandro Castañeda, van Gemert, Jan, Brinks, Daan, Tömen, Nergis

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Deep activity propagation via weight initialization in spiking neural networks von Micheli, Aurora, Booij, Olaf, van Gemert, Jan, Tömen, Nergis

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Phase transitions in cortical dynamics explain improved information processing under attention von Tomen, Nergis, Ernst, Udo

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Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation von Zeng, Liang, Lengyel, Attila, Tömen, Nergis, van Gemert, Jan

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Marginally subcritical dynamics explain enhanced stimulus discriminability under attention von Tomen, Nergis, Rotermund, David, Ernst, Udo

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Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems von Alejandro Castañeda Garcia, Jan van Gemert, Brinks, Daan, Tömen, Nergis

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Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation von Zeng, Liang, Lengyel, Attila, Tömen, Nergis, Jan van Gemert

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Pushing the boundaries of event subsampling in event-based video classification using CNNs von Araghi, Hesam, van Gemert, Jan, Tomen, Nergis

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Spectral Leakage and Rethinking the Kernel Size in CNNs von Tomen, Nergis, van Gemert, Jan

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Deep Continuous Networks von Tomen, Nergis, Pintea, Silvia L, van Gemert, Jan C

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NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems von Yik, Jason, Korneel Van den Berghe, den Blanken, Douwe, Younes Bouhadjar, Fabre, Maxime, Hueber, Paul, Ke, Weijie, Khoei, Mina A, Kleyko, Denis, Pacik-Nelson, Noah, Pierro, Alessandro, Stratmann, Philipp, Pao-Sheng, Vincent Sun, Tang, Guangzhi, Wang, Shenqi, Zhou, Biyan, Soikat Hasan Ahmed, Joseph, George Vathakkattil, Leto, Benedetto, Micheli, Aurora, Mishra, Anurag Kumar, Lenz, Gregor, Sun, Tao, Zergham Ahmed, Akl, Mahmoud, Anderson, Brian, Andreou, Andreas G, Bartolozzi, Chiara, Basu, Arindam, Petrut Bogdan, Bohte, Sander, Buckley, Sonia, Cauwenberghs, Gert, Chicca, Elisabetta, Corradi, Federico, Guido de Croon, Danielescu, Andreea, Daram, Anurag, Davies, Mike, Demirag, Yigit, Eshraghian, Jason, Fischer, Tobias, est, Jeremy, Fra, Vittorio, Furber, Steve, Furlong, P Michael, Gilpin, William, Gilra, Aditya, Gonzalez, Hector A, Indiveri, Giacomo, Joshi, Siddharth, Karia, Vedant, Khacef, Lyes, Knight, James C, Kriener, Laura, Kubendran, Rajkumar, Kudithipudi, Dhireesha, Yao-Hong, Liu, Liu, Shih-Chii, Ma, Haoyuan, Manohar, Rajit, Margarit-Taulé, Josep Maria, Mayr, Christian, Michmizos, Konstantinos, Muir, Dylan, Neftci, Emre, Nowotny, Thomas, Ottati, Fabrizio, Ozcelikkale, Ayca, Panda, Priyadarshini, Park, Jongkil, Payvand, Melika, Pehle, Christian, Petrovici, Mihai A, Posch, Christoph, Renner, Alpha, Sandamirskaya, Yulia, Schaefer, Clemens JS, André van Schaik, Schemmel, Johannes, Schmidgall, Samuel, Schuman, Catherine, Jae-sun, Seo, Sheik, Sadique, Sumit Bam Shrestha, Sifalakis, Manolis, Sironi, Amos, Stewart, Matthew, Stewart, Kenneth, Stewart, Terrence C, Timcheck, Jonathan, Tömen, Nergis, Urgese, Gianvito, Verhelst, Marian, Vineyard, Craig M, Vogginger, Bernhard, Yousefzadeh, Amirreza, Fatima Tuz Zohora, Frenkel, Charlotte, Reddi, Vijay Janapa

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Pushing the boundaries of event subsampling in event-based video classification using CNNs von Araghi, Hesam, Jan van Gemert, Tomen, Nergis

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Resolution learning in deep convolutional networks using scale-space theory von Pintea, Silvia L, Tomen, Nergis, Goes, Stanley F, Loog, Marco, van Gemert, Jan C

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VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

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Heart rate estimation in intense exercise videos von Napolean, Yeshwanth, Marwade, Anwesh, Tomen, Nergis, Alkemade, Puck, Eijsvogels, Thijs, van Gemert, Jan

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Spectral Leakage and Rethinking the Kernel Size in CNNs von Tomen, Nergis, Jan van Gemert

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VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

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Frequency learning for structured CNN filters with Gaussian fractional derivatives von Saldanha, Nikhil, Pintea, Silvia L, van Gemert, Jan C, Tomen, Nergis

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