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pro vyhledávání: '"A. Groot"'
Latent space optimization (LSO) is a powerful method for designing discrete, high-dimensional biological sequences that maximize expensive black-box functions, such as wet lab experiments. This is accomplished by learning a latent space from availabl
Externí odkaz:
http://arxiv.org/abs/2411.11265
Autor:
Upile uThixo Bongco
A touching picture book about resilience, identity, and familial love. Every morning when Ta'mkhulu helps Zinzo to shine his shoes, he reminds him that he has big shoes to fill. Zinzo wants to make his dads proud, even though they live far away in th
Autor:
Zijverden, Wilko van, Moor, Jos de
In de archeologische praktijk wordt veel van de archeoloog in het veld gevraagd. Hij/zij is het welbekende schaap met de vijf poten. Naast de dagelijkse bureaucratische rompslomp blijft helaas vaak te weinig tijd over voor de archeologische inhoudeli
Amid the burgeoning development of generative models like diffusion models, the task of differentiating synthesized audio from its natural counterpart grows more daunting. Deepfake detection offers a viable solution to combat this challenge. Yet, thi
Externí odkaz:
http://arxiv.org/abs/2407.10471
Autor:
van Driel, Niels
Publikováno v:
Documentatieblad voor de Nederlandse Kerkgeschiedenis na 1800. Dec2023, Vol. 45 Issue 99, p165-189. 25p.
Autor:
Mutilifa, Liina1 lmutilifa@nust.na, Kedir, Bushira1, Mapani, Benjamin1, Shikangalah, Rosemary2
Publikováno v:
Water SA. Jul2024, Vol. 50 Issue 3, p307-318. 12p.
Autor:
Liu, Yi, Yang, Guowei, Deng, Gelei, Chen, Feiyue, Chen, Yuqi, Shi, Ling, Zhang, Tianwei, Liu, Yang
With the prevalence of text-to-image generative models, their safety becomes a critical concern. adversarial testing techniques have been developed to probe whether such models can be prompted to produce Not-Safe-For-Work (NSFW) content. However, exi
Externí odkaz:
http://arxiv.org/abs/2402.12100
We study the problem of building a controller that can follow open-ended instructions in open-world environments. We propose to follow reference videos as instructions, which offer expressive goal specifications while eliminating the need for expensi
Externí odkaz:
http://arxiv.org/abs/2310.08235
Autor:
Hashimoto, Kazuma, Raman, Karthik
Sequential labeling is a fundamental NLP task, forming the backbone of many applications. Supervised learning of Seq2Seq models has shown great success on these problems. However, the training objectives are still significantly disconnected with the
Externí odkaz:
http://arxiv.org/abs/2209.14694
Autor:
Broeyer, Frits
Publikováno v:
Documentatieblad voor de Nederlandse Kerkgeschiedenis na 1800. Dec2023, Vol. 45 Issue 99, p135-137. 3p.