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GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's trained end-to-end across text, vision, and audio, meaning all inputs
Externí odkaz:
http://arxiv.org/abs/2410.21276
We introduce the Loop Weierstrass Representation for minimal surfaces in Euclidean space and constant mean curvature 1 surfaces in hyperbolic space by applying integral system methods to the Weierstrass and Bryant representations. We unify associated
Externí odkaz:
http://arxiv.org/abs/2411.04626
Autor:
Willmes, David, Krall, Nick, Tanis, James, Terner, Zachary, Tavares, Fernando, Haberlin III, Joe, Crichton, Matt, Schlichting, Alexander
With billions of people facing moderate or severe food insecurity, the resilience of the global food supply will be of increasing concern due to the effects of climate change and geopolitical events. In this paper we describe a framework to better id
Externí odkaz:
http://arxiv.org/abs/2411.05219
Autor:
Zurita, Roberto O., Kersul, Cauê M., Schilder, Nick J., Wiederhecker, Gustavo S., Alegre, Thiago P. Mayer
We introduce a novel optomechanical microgear cavity for both optical and mechanical isotropic materials, featuring a single etch configuration. The design leverages a conjunction of phononic and photonic crystal-like structures to achieve remarkable
Externí odkaz:
http://arxiv.org/abs/2411.03946
The problem of identifying the satisfiability threshold of random $3$-SAT formulas has received a lot of attention during the last decades and has inspired the study of other threshold phenomena in random combinatorial structures. The classical assum
Externí odkaz:
http://arxiv.org/abs/2411.03813
Autor:
Angdembe, Alisha, Iqbal, Wasim A, Hamad, Rebeen Ali, Casement, John, Consortium, AI-Multiply, Missier, Paolo, Reynolds, Nick, Henkin, Rafael, Barnes, Michael R
Understanding the temporal properties of longitudinal data is critical for identifying trends, predicting future events, and making informed decisions in any field where temporal data is analysed, including health and epidemiology, finance, geoscienc
Externí odkaz:
http://arxiv.org/abs/2411.03210
Autor:
Johnson, Samuel G. B., Karimi, Amir-Hossein, Bengio, Yoshua, Chater, Nick, Gerstenberg, Tobias, Larson, Kate, Levine, Sydney, Mitchell, Melanie, Rahwan, Iyad, Schölkopf, Bernhard, Grossmann, Igor
Recent advances in artificial intelligence (AI) have produced systems capable of increasingly sophisticated performance on cognitive tasks. However, AI systems still struggle in critical ways: unpredictable and novel environments (robustness), lack o
Externí odkaz:
http://arxiv.org/abs/2411.02478
Autor:
Huxford, Peter, Salter, Nick
An equicritical stratum is the locus of univariate monic squarefree complex polynomials where the critical points have prescribed multiplicities. Tracking the positions of both roots and critical points, there is a natural ``monodromy map'' taking th
Externí odkaz:
http://arxiv.org/abs/2411.02222
Autor:
Heller, Nick, Ilten, Phil, Menzo, Tony, Mrenna, Stephen, Nachman, Benjamin, Siodmok, Andrzej, Szewc, Manuel, Youssef, Ahmed
We present an autodifferentiable rejection sampling algorithm termed Rejection Sampling with Autodifferentiation (RSA). In conjunction with reweighting, we show that RSA can be used for efficient parameter estimation and model exploration. Additional
Externí odkaz:
http://arxiv.org/abs/2411.02194
Autor:
Lorenzo, Nick
In a full 3D context, we study a projectile subject to linear drag, a non-uniform gravitational field, time-dependent wind, and parameterized atmospheric thinning. In this general context, we provide integral solutions, exact to $\mathcal{ O }( \vare
Externí odkaz:
http://arxiv.org/abs/2411.02145