Zobrazeno 1 - 10
of 41 082
pro vyhledávání: '"A Weinberger"'
We show that the multicomponent Kardar-Parisi-Zhang equation describes the low-energy theory for phase fluctuations in a $\mathbb{Z}_{2}$ degenerate non-equilibrium driven-dissipative condensate with global $U(1)\times U(1)$ symmetry. Using dynamical
Externí odkaz:
http://arxiv.org/abs/2411.07095
Genetic screens mediated via CRISPR-Cas9 combined with high-content readouts have emerged as powerful tools for biological discovery. However, computational analyses of these screens come with additional challenges beyond those found with standard sc
Externí odkaz:
http://arxiv.org/abs/2411.08072
Coboundary expansion is a high dimensional generalization of the Cheeger constant to simplicial complexes. Originally, this notion was motivated by the fact that it implies topological expansion, but nowadays a significant part of the motivation stem
Externí odkaz:
http://arxiv.org/abs/2411.02819
Autor:
Tevlin, Larissa, Berlok, Thomas, Pfrommer, Christoph, Talbot, Rosie Y., Whittingham, Joseph, Puchwein, Ewald, Pakmor, Ruediger, Weinberger, Rainer, Springel, Volker
Observations of Faraday rotation and synchrotron emission in galaxy clusters imply large-scale magnetic fields with $\mu\mathrm{G}$ strengths possibly extending back to $z=4$. Non-radiative cosmological simulations of galaxy clusters show a comparabl
Externí odkaz:
http://arxiv.org/abs/2411.00103
Future wireless systems are expected to deliver significantly higher quality-of-service (QoS) albeit with fewer energy resources for diverse, already existing and also novel wireless applications. The optimal resource allocation for a system in this
Externí odkaz:
http://arxiv.org/abs/2410.06061
Autor:
Yoo, Jinsu, Feng, Zhenyang, Pan, Tai-Yu, Sun, Yihong, Phoo, Cheng Perng, Chen, Xiangyu, Campbell, Mark, Weinberger, Kilian Q., Hariharan, Bharath, Chao, Wei-Lun
Accurate 3D object detection in real-world environments requires a huge amount of annotated data with high quality. Acquiring such data is tedious and expensive, and often needs repeated effort when a new sensor is adopted or when the detector is dep
Externí odkaz:
http://arxiv.org/abs/2410.02646
We study which machine learning algorithms have tight generalization bounds. First, we present conditions that preclude the existence of tight generalization bounds. Specifically, we show that algorithms that have certain inductive biases that cause
Externí odkaz:
http://arxiv.org/abs/2410.01969
This work introduces Sample-Efficient Speech Diffusion (SESD), an algorithm for effective speech synthesis in modest data regimes through latent diffusion. It is based on a novel diffusion architecture, that we call U-Audio Transformer (U-AT), that e
Externí odkaz:
http://arxiv.org/abs/2409.03717
Autor:
Bekos, Michael A., Bose, Prosenjit, Büngener, Aaron, Dujmović, Vida, Hoffmann, Michael, Kaufmann, Michael, Morin, Pat, Odak, Saeed, Weinberger, Alexandra
We study the impact of forbidding short cycles to the edge density of $k$-planar graphs; a $k$-planar graph is one that can be drawn in the plane with at most $k$ crossings per edge. Specifically, we consider three settings, according to which the fo
Externí odkaz:
http://arxiv.org/abs/2408.16085
Current language models demonstrate remarkable proficiency in text generation. However, for many applications it is desirable to control attributes, such as sentiment, or toxicity, of the generated language -- ideally tailored towards each specific u
Externí odkaz:
http://arxiv.org/abs/2408.04220