Zobrazeno 1 - 10
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pro vyhledávání: '"Chiò, A"'
This paper introduces a Spiking Diffusion Policy (SDP) learning method for robotic manipulation by integrating Spiking Neurons and Learnable Channel-wise Membrane Thresholds (LCMT) into the diffusion policy model, thereby enhancing computational effi
Externí odkaz:
http://arxiv.org/abs/2409.11195
Autor:
Marinello, Elena, Tavazzi, Erica, Longato, Enrico, Bosoni, Pietro, Dagliati, Arianna, Vazifehdan, Mahin, Bellazzi, Riccardo, Trescato, Isotta, Guazzo, Alessandro, Vettoretti, Martina, Tavazzi, Eleonora, Ahmad, Lara, Bergamaschi, Roberto, Cavalla, Paola, Manera, Umberto, Chio, Adriano, Di Camillo, Barbara
Multiple Sclerosis (MS) is a chronic autoimmune and inflammatory neurological disorder characterised by episodes of symptom exacerbation, known as relapses. In this study, we investigate the role of environmental factors in relapse occurrence among M
Externí odkaz:
http://arxiv.org/abs/2408.17376
Multi-modal image fusion aims to combine information from different modes to create a single image with comprehensive information and detailed textures. However, fusion models based on convolutional neural networks encounter limitations in capturing
Externí odkaz:
http://arxiv.org/abs/2404.09498
Autor:
Gianinazzi, Lukas, Ziogas, Alexandros Nikolaos, Huang, Langwen, Luczynski, Piotr, Ashkboos, Saleh, Scheidl, Florian, Carigiet, Armon, Ge, Chio, Abubaker, Nabil, Besta, Maciej, Ben-Nun, Tal, Hoefler, Torsten
Publikováno v:
PPoPP'24: Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (2024) 404-416
We propose a novel approach to iterated sparse matrix dense matrix multiplication, a fundamental computational kernel in scientific computing and graph neural network training. In cases where matrix sizes exceed the memory of a single compute node, d
Externí odkaz:
http://arxiv.org/abs/2402.19364
Autor:
Ram, Naveen, Kuzmin, Dima, Chio, Ellie Ka In, Alzantot, Moustafa Farid, Ontanon, Santiago, Jash, Ambarish, Li, Judith Yue
In this paper, we analyze the performance of a multitask end-to-end transformer model on the task of conversational recommendations, which aim to provide recommendations based on a user's explicit preferences expressed in dialogue. While previous wor
Externí odkaz:
http://arxiv.org/abs/2305.06218
Autor:
Betti, L., Chio, I., Fleischman, J., Iosevich, A., Iulianelli, F., Kirila, S., Martino, M., Mayeli, A., Pack, S., Sheng, Z., Taliancic, C., Thomas, A., Whybra, N., Wyman, E., Yildirim, U., Zhao, K.
The purpose of this paper is to study the fractal phenomena in large data sets and the associated questions of dimension reduction. We examine situations where the classical Principal Component Analysis is not effective in identifying the salient und
Externí odkaz:
http://arxiv.org/abs/2209.12079
Autor:
Mario Stanziano, Davide Fedeli, Umberto Manera, Stefania Ferraro, Jean P. Medina Carrion, Sara Palermo, Paola Sciortino, Maurizio Cogoni, Federica Agosta, Silvia Basaia, Massimo Filippi, Marina Grisoli, Maria C. Valentini, Filippo De Mattei, Antonio Canosa, Andrea Calvo, Maria G. Bruzzone, Adriano Chiò, Anna Nigri, Cristina Moglia
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 3, Pp 686-697 (2024)
Abstract Objective The resting‐state functional connectome has not been extensively investigated in amyotrophic lateral sclerosis (ALS) spectrum disease, in particular in relationship with patients' genetic status. Methods Here we studied the netwo
Externí odkaz:
https://doaj.org/article/68b52a1f10cc4004a9173b7b27d00b3c
Autor:
Mercadillo, Vicente Orts, Chan, Kai Chio, Caironi, Mario, Athanassiou, Athanassia, Kinloch, Ian A., Bissett, Mark, Cataldi, Pietro
There is growing interest in transitioning electronic components and circuitry from stiff and rigid substrates to more flexible and stretchable platforms, such as thin plastics, textiles, and foams. In parallel, the push for more sustainable, biocomp
Externí odkaz:
http://arxiv.org/abs/2207.06776
Autor:
Chio, Pat Tong
In recent years, more and more investors use technical analysis methods in their own trading. Evaluating the effectiveness of technical analysis has become more feasible due to increasing computing capability and blooming public data, which indie inv
Externí odkaz:
http://arxiv.org/abs/2206.12282
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