Zobrazeno 1 - 10
of 20 611
pro vyhledávání: '"A, Malkin"'
The IERS C01 Earth orientation parameters (EOP) series contains the longest reliable record of the Earth's rotation. In particular, the polar motion (PM) series beginning from 1846 provides a basis for investigation of the long-term PM variations. Ho
Externí odkaz:
http://arxiv.org/abs/2412.07868
In-context learning (ICL) adapts LLMs by providing demonstrations without fine-tuning the model parameters; however, it does not differentiate between demonstrations and quadratically increases the complexity of Transformer LLMs, exhausting the memor
Externí odkaz:
http://arxiv.org/abs/2411.02830
The recent explosion of high-quality language models has necessitated new methods for identifying AI-generated text. Watermarking is a leading solution and could prove to be an essential tool in the age of generative AI. Existing approaches embed wat
Externí odkaz:
http://arxiv.org/abs/2410.18861
Autor:
Boussif, Oussama, Ezzine, Léna Néhale, Viviano, Joseph D, Koziarski, Michał, Jain, Moksh, Malkin, Nikolay, Bengio, Emmanuel, Assouel, Rim, Bengio, Yoshua
As trajectories sampled by policies used by reinforcement learning (RL) and generative flow networks (GFlowNets) grow longer, credit assignment and exploration become more challenging, and the long planning horizon hinders mode discovery and generali
Externí odkaz:
http://arxiv.org/abs/2410.15184
Reasoning is a fundamental substrate for solving novel and complex problems. Deliberate efforts in learning and developing frameworks around System 2 reasoning have made great strides, yet problems of sufficient complexity remain largely out of reach
Externí odkaz:
http://arxiv.org/abs/2410.13224
Autor:
Malkin, Zinovy
Publikováno v:
Publications of the Pulkovo Observatory, No. 234, pp. 13-21 (2024)
In many astronomical works, the structure of vector fields is analyzed, such as the differences in the celestial object coordinates in catalogs or the celestial object velocities, by decomposition into vector spherical harmonics (VSH). This method ha
Externí odkaz:
http://arxiv.org/abs/2410.06075
Autor:
Kim, Minsu, Choi, Sanghyeok, Yun, Taeyoung, Bengio, Emmanuel, Feng, Leo, Rector-Brooks, Jarrid, Ahn, Sungsoo, Park, Jinkyoo, Malkin, Nikolay, Bengio, Yoshua
Amortized inference is the task of training a parametric model, such as a neural network, to approximate a distribution with a given unnormalized density where exact sampling is intractable. When sampling is implemented as a sequential decision-makin
Externí odkaz:
http://arxiv.org/abs/2410.01432
Autor:
Chung, Daeun Joyce, Guoji, Muya, Mindel, Nina, Malkin, Alexis, Alberotrio, Fernando, Lowe, Shane, McNally, Chris, Xavier, Casandra, Ruvolo, Paul
Empowering people who are blind or visually impaired (BVI) to enhance their orientation and mobility skills is critical to equalizing their access to social and economic opportunities. To manage this crucial challenge, we employed a novel design proc
Externí odkaz:
http://arxiv.org/abs/2410.00192
Autor:
Díaz, Judith Sáinz-Pardo, Castrillo, María, Bartok, Juraj, Cachá, Ignacio Heredia, Ondík, Irina Malkin, Martynovskyi, Ivan, Alibabaei, Khadijeh, Berberi, Lisana, Kozlov, Valentin, García, Álvaro López
The increasing generation of data in different areas of life, such as the environment, highlights the need to explore new techniques for processing and exploiting data for useful purposes. In this context, artificial intelligence techniques, especial
Externí odkaz:
http://arxiv.org/abs/2408.05761
Autor:
Bengio, Yoshua, Cohen, Michael K., Malkin, Nikolay, MacDermott, Matt, Fornasiere, Damiano, Greiner, Pietro, Kaddar, Younesse
Is there a way to design powerful AI systems based on machine learning methods that would satisfy probabilistic safety guarantees? With the long-term goal of obtaining a probabilistic guarantee that would apply in every context, we consider estimatin
Externí odkaz:
http://arxiv.org/abs/2408.05284