Zobrazeno 1 - 10
of 559
pro vyhledávání: '"Òdena A"'
Autor:
Fara Brasó-Maristany, Juan Manuel Ferrero-Cafiero, Claudette Falato, Olga Martínez-Sáez, Juan Miguel Cejalvo, Mireia Margelí, Pablo Tolosa, Francisco Javier Salvador-Bofill, Josefina Cruz, Blanca González-Farré, Esther Sanfeliu, Andreu Òdena, Violeta Serra, Francisco Pardo, Ana María Luna Barrera, Miriam Arumi, Juan Antonio Guerra, Guillermo Villacampa, Rodrigo Sánchez-Bayona, Eva Ciruelos, Martín Espinosa-Bravo, Yann Izarzugaza, Patricia Galván, Judith Matito, Sonia Pernas, Maria Vidal, Anu Santhanagopal, Dalila Sellami, Stephen Esker, Pang-Dian Fan, Fumitaka Suto, Ana Vivancos, Tomás Pascual, Aleix Prat, Mafalda Oliveira
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Patritumab deruxtecan (HER3-DXd) exhibits promising efficacy in breast cancer, with its activity not directly correlated to baseline ERBB3/HER3 levels. This research investigates the genetic factors affecting HER3-DXd’s response in women w
Externí odkaz:
https://doaj.org/article/7c7d4486147e4021ad5651e0e2b54a88
Autor:
Nye, Maxwell, Andreassen, Anders Johan, Gur-Ari, Guy, Michalewski, Henryk, Austin, Jacob, Bieber, David, Dohan, David, Lewkowycz, Aitor, Bosma, Maarten, Luan, David, Sutton, Charles, Odena, Augustus
Large pre-trained language models perform remarkably well on tasks that can be done "in one pass", such as generating realistic text or synthesizing computer programs. However, they struggle with tasks that require unbounded multi-step computation, s
Externí odkaz:
http://arxiv.org/abs/2112.00114
Autor:
Austin, Jacob, Odena, Augustus, Nye, Maxwell, Bosma, Maarten, Michalewski, Henryk, Dohan, David, Jiang, Ellen, Cai, Carrie, Terry, Michael, Le, Quoc, Sutton, Charles
This paper explores the limits of the current generation of large language models for program synthesis in general purpose programming languages. We evaluate a collection of such models (with between 244M and 137B parameters) on two new benchmarks, M
Externí odkaz:
http://arxiv.org/abs/2108.07732
Autor:
Niu, Murphy Yuezhen, Dai, Andrew M., Li, Li, Odena, Augustus, Zhao, Zhengli, Smelyanskyi, Vadim, Neven, Hartmut, Boixo, Sergio
Given a quantum circuit, a quantum computer can sample the output distribution exponentially faster in the number of bits than classical computers. A similar exponential separation has yet to be established in generative models through quantum sample
Externí odkaz:
http://arxiv.org/abs/2010.11983
We propose a novel type of balanced clustering algorithm to approximate attention. Attention complexity is reduced from $O(N^2)$ to $O(N \log N)$, where $N$ is the sequence length. Our algorithm, SMYRF, uses Locality Sensitive Hashing (LSH) in a nove
Externí odkaz:
http://arxiv.org/abs/2010.05315
Program synthesis is challenging largely because of the difficulty of search in a large space of programs. Human programmers routinely tackle the task of writing complex programs by writing sub-programs and then analyzing their intermediate results t
Externí odkaz:
http://arxiv.org/abs/2007.14381
We introduce a simple (one line of code) modification to the Generative Adversarial Network (GAN) training algorithm that materially improves results with no increase in computational cost: When updating the generator parameters, we simply zero out t
Externí odkaz:
http://arxiv.org/abs/2002.06224
Autor:
Odena, Augustus, Sutton, Charles
We introduce the notion of property signatures, a representation for programs and program specifications meant for consumption by machine learning algorithms. Given a function with input type $\tau_{in}$ and output type $\tau_{out}$, a property is a
Externí odkaz:
http://arxiv.org/abs/2002.09030
Recent work has increased the performance of Generative Adversarial Networks (GANs) by enforcing a consistency cost on the discriminator. We improve on this technique in several ways. We first show that consistency regularization can introduce artifa
Externí odkaz:
http://arxiv.org/abs/2002.04724
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