Robuta

https://openreview.net/forum?id=6QyGTjHyd8P&referrer=%5Bthe%20profile%20of%20Oskar%20van%20der%20Wal%5D(%2Fprofile%3Fid%3D~Oskar_van_der_Wal1) Inseq: An Interpretability Toolkit for Sequence Generation Models | OpenReview Past work in natural language processing interpretability focused mainly on popular classification tasks while largely overlooking generation settings, partly... sequence generationinterpretabilitytoolkitmodelsopenreview https://aclanthology.org/2023.acl-demo.40/ Inseq: An Interpretability Toolkit for Sequence Generation Models - ACL Anthology Gabriele Sarti, Nils Feldhus, Ludwig Sickert, Oskar van der Wal. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics... sequence generationinterpretabilitytoolkitmodelsacl https://elifesciences.org/articles/56942v1 Flexible motor sequence generation during stereotyped escape responses | eLife sequence generationflexiblemotorstereotypedescape https://openreview.net/forum?id=yW2xBKonVg Fast and Memory-Efficient Multi-Sequence Generation via Structured Masking | OpenReview Many applications of large language models (LLM) require drawing multiple samples from a single prompt, also known as multi-sequence generation. Current... sequence generationfastmemoryefficientmulti https://openreview.net/forum?id=BydLzGb0Z Twin Networks: Matching the Future for Sequence Generation | OpenReview The paper introduces a method of training generative recurrent networks that helps to plan ahead. We run a second RNN in a reverse direction and make a soft... the futuresequence generationtwinnetworksmatching https://openreview.net/forum?id=eZh2UyeMrg&referrer=%5Bthe%20profile%20of%20Jingjing%20Liu%5D(%2Fprofile%3Fid%3D~Jingjing_Liu2) ShortListing Model: A Streamlined Simplex Diffusion for Biological Sequence Generation | OpenReview Generative modeling of discrete variables is challenging yet crucial for applications in natural language processing and biological sequence design. We... model abiological sequenceshortlistingstreamlinedsimplex https://deepai.org/publication/socialinteractiongan-multi-person-interaction-sequence-generation SocialInteractionGAN: Multi-person Interaction Sequence Generation | DeepAI Mar 10, 2021 - 03/10/21 - Prediction of human actions in social interactions has important applications in the design of social robots or artificial avatars... multi personsequence generationinteractiondeepai https://openreview.net/forum?id=sbvEblPN4u Gradient-guided discrete walk-jump sampling for biological sequence generation | OpenReview biological sequencegradientguideddiscretewalk https://aclanthology.org/2022.coling-1.161/ Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage... Bo Zhou, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li. Proceedings of the 29th International Conference on Computational... with aaugmentationretrievalgenerationevent https://scienceblogs.com/digitalbio/2009/08/14/next-generation-dna-sequencing Next Generation DNA Sequencing does more than sequence DNA | ScienceBlogs You might think the coolest thing about the Next Generation DNA Sequencing technologies is that we can use them to sequence long-dead mammoths, entire... next generationdna sequencingmore thansequencescienceblogs https://deepai.org/publication/natural-question-generation-with-reinforcement-learning-based-graph-to-sequence-model Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model | DeepAI Oct 19, 2019 - 10/19/19 - Natural question generation (QG) aims to generate questions from a passage and an answer. In this paper, we propose a novel reinfo... reinforcement learning https://openreview.net/forum?id=AprsVxrwXT MVGamba: Unify 3D Content Generation as State Space Sequence Modeling | OpenReview Recent 3D large reconstruction models (LRMs) can generate high-quality 3D content in sub-seconds by integrating multi-view diffusion models with scalable... 3d contentstate spaceunifygeneration https://www.nist.gov/publications/sequence-variation-22-autosomal-str-loci-detected-next-generation-sequencing Sequence variation of 22 autosomal STR loci detected by next generation sequencing | NIST Nov 10, 2018 - Sequencing short tandem repeat (STR) loci allows for determination of repeat motif variations within the STR (or entire PCR amplicon) which cannot be ascertaine https://www.questdiagnostics.com/healthcare-professionals/clinical-education-center/conference-presentations/2023-conference-presentations/diagnostic-utility-of-next-generation-sequencing-panels-covering-difficult-to-sequence-regions-in-patients-with-suspected-cystic-kidney-disease0 Diagnostic utility of next generation sequencing panels covering difficult to sequence regions in... Poster with the title "Diagnostic utility of next generation sequencing panels covering difficult to sequence regions in patients with suspected cystic kidney... next generation sequencing https://openreview.net/forum?id=HygnDhEtvr Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation | OpenReview Natural question generation (QG) aims to generate questions from a passage and an answer. Previous works on QG either (i) ignore the rich structure information... reinforcement learning https://www.wikidata.org/wiki/Q21061202 Automated generation of heuristics for biological sequence comparison - Wikidata scientific article published in 2005 biological sequenceautomatedgenerationheuristicscomparison