Zobrazeno 1 - 10
of 3 350
pro vyhledávání: '"Mauch P"'
Autor:
Matsuo, Ryoga, Uhlich, Stefan, Venkitaraman, Arun, Bonetti, Andrea, Hsieh, Chia-Yu, Momeni, Ali, Mauch, Lukas, Capone, Augusto, Ohbuchi, Eisaku, Servadei, Lorenzo
Machine learning models are advancing circuit design, particularly in analog circuits. They typically generate netlists that lack human interpretability. This is a problem as human designers heavily rely on the interpretability of circuit diagrams or
Externí odkaz:
http://arxiv.org/abs/2411.13899
In this work, we introduce an equivariant deformation of the $B$ model on the sphere with a $U(1)$-action. We present the deformed supersymmetry transformations and corresponding Lagrangians and study observables in the supercharge cohomology. The in
Externí odkaz:
http://arxiv.org/abs/2410.16969
Clusters of colloidal particles, often termed supraparticles, can provide more functionality than the individual particles they consist of. Since these functionalities are determined by the arrangement of the primary particles within a supraparticle,
Externí odkaz:
http://arxiv.org/abs/2409.00602
Autor:
Nguyen, Bac, Uhlich, Stefan, Cardinaux, Fabien, Mauch, Lukas, Edraki, Marzieh, Courville, Aaron
Handling distribution shifts from training data, known as out-of-distribution (OOD) generalization, poses a significant challenge in the field of machine learning. While a pre-trained vision-language model like CLIP has demonstrated remarkable zero-s
Externí odkaz:
http://arxiv.org/abs/2407.03036
Autor:
Mauch, Roman, Ruggeri, Lorenzo
In this work we conjecture the Coulomb branch partition function, including flux and instanton contributions, for the $\mathcal{N}=2$ vector multiplet on weighted projective space $\mathbb{CP}^2_{\boldsymbol{N}}$ for equivariant Donaldson-Witten and
Externí odkaz:
http://arxiv.org/abs/2404.11600
Autor:
Bendou, Yassir, Lioi, Giulia, Pasdeloup, Bastien, Mauch, Lukas, Hacene, Ghouthi Boukli, Cardinaux, Fabien, Gripon, Vincent
We consider the problem of zero-shot one-class visual classification, extending traditional one-class classification to scenarios where only the label of the target class is available. This method aims to discriminate between positive and negative qu
Externí odkaz:
http://arxiv.org/abs/2404.00675
We study the problem of stereo singing voice cancellation, a subtask of music source separation, whose goal is to estimate an instrumental background from a stereo mix. We explore how to achieve performance similar to large state-of-the-art source se
Externí odkaz:
http://arxiv.org/abs/2401.12068
Autor:
Bensaid, Reda, Gripon, Vincent, Leduc-Primeau, François, Mauch, Lukas, Hacene, Ghouthi Boukli, Cardinaux, Fabien
In recent years, the rapid evolution of computer vision has seen the emergence of various foundation models, each tailored to specific data types and tasks. In this study, we explore the adaptation of these models for few-shot semantic segmentation.
Externí odkaz:
http://arxiv.org/abs/2401.11311
Autor:
Bendou, Yassir, Gripon, Vincent, Pasdeloup, Bastien, Lioi, Giulia, Mauch, Lukas, Cardinaux, Fabien, Hacene, Ghouthi Boukli
In the realm of few-shot learning, foundation models like CLIP have proven effective but exhibit limitations in cross-domain robustness especially in few-shot settings. Recent works add text as an extra modality to enhance the performance of these mo
Externí odkaz:
http://arxiv.org/abs/2311.14544
Autor:
Alvise Schiavinato, Fady Marcous, Alexandra V. Zuk, Douglas R. Keene, Sara F. Tufa, Laura M. Mosquera, Paola Zigrino, Cornelia Mauch, Beate Eckes, Katrien Francois, Julie De Backer, Nicolas Hunzelmann, Pia Moinzadeh, Thomas Krieg, Bert Callewaert, Gerhard Sengle
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Supramolecular extracellular matrix (ECM) networks play an essential role in skin architecture and function. Elastin microfibril interface-located proteins (EMILINs) comprise a family of three extracellular glycoproteins that serve as essent
Externí odkaz:
https://doaj.org/article/17d192a4b50d4efaa5160e79aed95b76
