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pro vyhledávání: '"A A, Lampert"'
Autor:
Nisar, Zeeshan, Lampert, Thomas
Histopathology, the microscopic examination of tissue samples, is essential for disease diagnosis and prognosis. Accurate segmentation and identification of key regions in histopathology images are crucial for developing automated solutions. However,
Externí odkaz:
http://arxiv.org/abs/2412.15389
Autor:
Prach, Bernd, Lampert, Christoph H.
Despite extensive research since the community learned about adversarial examples 10 years ago, we still do not know how to train high-accuracy classifiers that are guaranteed to be robust to small perturbations of their inputs. Previous works often
Externí odkaz:
http://arxiv.org/abs/2412.04245
Autor:
George, Hubert C., Mądzik, Mateusz T., Henry, Eric M., Wagner, Andrew J., Islam, Mohammad M., Borjans, Felix, Connors, Elliot J., Corrigan, Joelle, Curry, Matthew, Harper, Michael K., Keith, Daniel, Lampert, Lester, Luthi, Florian, Mohiyaddin, Fahd A., Murcia, Sandra, Nair, Rohit, Nahm, Rambert, Nethwewala, Aditi, Neyens, Samuel, Raharjo, Roy D., Rogan, Carly, Savytskyy, Rostyslav, Watson, Thomas F., Ziegler, Josh, Zietz, Otto K., Pillarisetty, Ravi, Bishop, Nathaniel C., Bojarski, Stephanie A., Roberts, Jeanette, Clarke, James S.
Intels efforts to build a practical quantum computer are focused on developing a scalable spin-qubit platform leveraging industrial high-volume semiconductor manufacturing expertise and 300 mm fabrication infrastructure. Here, we provide an overview
Externí odkaz:
http://arxiv.org/abs/2410.16583
Autor:
Baily, Benjamin, Lampert, Amichai
Let $F$ be a tensor of degree $d$ over a field $K.$ Write $prk(F)$ for the partition rank of $F$ and $\overline{prk} (F) := prk(F\otimes_K \overline{K}),$ where $\overline{K}$ is an algebraic closure of $K.$ We prove that $prk(F) \ll_{d,K} \overline{
Externí odkaz:
http://arxiv.org/abs/2410.00248
Antennas are more prevalent than ever enabling 5G connectivity for wide ranging applications like cellular communication, IoT, autonomous vehicles, etc. Optimizing an antenna design can be challenging and employing traditional optimization techniques
Externí odkaz:
http://arxiv.org/abs/2408.03674
We study the Kolmogorov-Arnold Network (KAN), recently proposed as an alternative to the classical Multilayer Perceptron (MLP), in the application for differentially private model training. Using the DP-SGD algorithm, we demonstrate that KAN can be m
Externí odkaz:
http://arxiv.org/abs/2407.12569
Deep neural networks (DNNs) exhibit a surprising structure in their final layer known as neural collapse (NC), and a growing body of works has currently investigated the propagation of neural collapse to earlier layers of DNNs -- a phenomenon called
Externí odkaz:
http://arxiv.org/abs/2405.14468
Autor:
Kalinin, Nikita P., Lampert, Christoph
Current state-of-the-art methods for differentially private model training are based on matrix factorization techniques. However, these methods suffer from high computational overhead because they require numerically solving a demanding optimization
Externí odkaz:
http://arxiv.org/abs/2405.13763
Publikováno v:
Proceedings in Applied Mathematics and Mechanics, 2024
A common way to numerically solve Fokker-Planck equations is the Chang-Cooper method in space combined with one of the Euler methods in time. However, the explicit Euler method is only conditionally positive, leading to severe restrictions on the tim
Externí odkaz:
http://arxiv.org/abs/2404.07641
Instruction-tuned Large Language Models (LLMs) show impressive results in numerous practical applications, but they lack essential safety features that are common in other areas of computer science, particularly an explicit separation of instructions
Externí odkaz:
http://arxiv.org/abs/2403.06833