Zobrazeno 1 - 10
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pro vyhledávání: '"Dogariu, A."'
We consider the problem of length generalization in sequence prediction. We define a new metric of performance in this setting -- the Asymmetric-Regret -- which measures regret against a benchmark predictor with longer context length than available t
Externí odkaz:
http://arxiv.org/abs/2411.01035
Autor:
Agarwal, Naman, Chen, Xinyi, Dogariu, Evan, Feinberg, Vlad, Suo, Daniel, Bartlett, Peter, Hazan, Elad
We address the challenge of efficient auto-regressive generation in sequence prediction models by introducing FutureFill - a method for fast generation that applies to any sequence prediction algorithm based on convolutional operators. Our approach r
Externí odkaz:
http://arxiv.org/abs/2410.03766
Autor:
Liu, Y. Isabel, Nguyen, Windsor, Devre, Yagiz, Dogariu, Evan, Majumdar, Anirudha, Hazan, Elad
This paper describes an efficient, open source PyTorch implementation of the Spectral Transform Unit. We investigate sequence prediction tasks over several modalities including language, robotics, and simulated dynamical systems. We find that for the
Externí odkaz:
http://arxiv.org/abs/2409.10489
Autor:
Starikovskiy, Andrey, Dogariu, Arthur
A new calibration method for H-fs-TALIF is proposed, and the ratio of two-photon absorption cross-sections $\sigma^{(2)}$ for atomic hydrogen (H) and krypton (Kr) is determined for the broadband emission of a femtosecond laser system. The obtained es
Externí odkaz:
http://arxiv.org/abs/2404.11909
Autor:
Ştefan, Liviu-Daniel, Stanciu, Dan-Cristian, Dogariu, Mihai, Constantin, Mihai Gabriel, Jitaru, Andrei Cosmin, Ionescu, Bogdan
Recent advancements in Generative Adversarial Networks (GANs) have enabled photorealistic image generation with high quality. However, the malicious use of such generated media has raised concerns regarding visual misinformation. Although deepfake de
Externí odkaz:
http://arxiv.org/abs/2404.00114
Within a closed system, physical interactions are reciprocal. However, the effective interaction between two entities of an open system may not obey reciprocity. Here, we describe a non-reciprocal interaction between nanoparticles which is one-way, a
Externí odkaz:
http://arxiv.org/abs/2402.00257
Autor:
Dogariu, Evan
Neural networks have emerged as a powerful tool for solving complex tasks across various domains, but their increasing size and computational requirements have posed significant challenges in deploying them on resource-constrained devices. Neural net
Externí odkaz:
http://arxiv.org/abs/2312.01653
Autor:
Dogariu, Evan, Yu, Jiatong
In this work we present an overview of statistical learning, followed by a survey of robust streaming techniques and challenges, culminating in several rigorous results proving the relationship that we motivate and hint at throughout the journey. Fur
Externí odkaz:
http://arxiv.org/abs/2312.01634
Autor:
Zhang, Alex, Dogariu, Evan
The use of appearance codes in recent work on generative modeling has enabled novel view renders with variable appearance and illumination, such as day-time and night-time renders of a scene. A major limitation of this technique is the need to re-tra
Externí odkaz:
http://arxiv.org/abs/2311.11427
Autor:
Dogariu, Oana Andreea1 (AUTHOR) florescu.oanaandreea@yahoo.com, Gheorman, Veronica2 (AUTHOR) veronica.gheorman@umfcv.ro, Dogariu, Ioan3 (AUTHOR) dogariuioan@gmail.com, Berceanu, Mihaela Corina4 (AUTHOR) mihaela.berceanu@umfcv.ro, Albu, Carmen Valeria5 (AUTHOR) carmenvaleriaalbu@yahoo.com, Gheonea, Ioana Andreea6 (AUTHOR) ioana.gheonea@umfcv.ro
Publikováno v:
Brain Sciences (2076-3425). Jun2024, Vol. 14 Issue 6, p577. 16p.
