Week Ending 10.9.2022
RESEARCH WATCH: 10.9.2022
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Over the most recent week of the query period, 133 new published papers and preprints were released matching the query for <>. This represents 100.00% of the 133 written since Sep 30, 2022.
Of these, 53 were published in the most recent day. A notable paper was: How Do Data Science Workers Communicate Intermediate Results? by Rock Yuren Pang, et al. (October 06 2022) published in Arxiv (Computer Science).
A notable paper from earlier in the week was: A Liquid Democracy System for Human-Computer Societies by Anton Kolonin, et al. (October 05 2022) published in Arxiv (Computer Science).
The paper shared the most on social media over the course of the week was: Quantum Error Mitigation by Zhenyu Cai, et al. (October 03 2022) published in Arxiv (Quantum Physics) with 28 shares. @Schrod_cat_jour (Schrodinger's cat journal) tweeted "New review on #Quantum Error Mitigation, written by @zhenyu_cai, @endo_suguru, @JarrodMcclean (@GoogleQuantumAI) et… https://t.co/f8SEXC2FDQ"
Over the most recent week of the query period, 187 new published papers and preprints were released matching the query for Computer Science - Artificial Intelligence. This represents 100.00% of the 187 written since Sep 30, 2022.
Of these, 75 were published in the most recent day. A notable paper was: Artificial Intelligence and Natural Language Processing and Understanding in Space: Four ESA Case Studies by José Manuel Gómez-Pérez, et al. (October 07 2022) published in Arxiv (Computer Science).
A notable paper from earlier in the week was: Towards an Artificial-Intelligence-Based Optical Scintillometer: Scaling Issue by G. A. Filimonov, et al. (October 04 2022) published in Arxiv (Physics).
Over the most recent week of the query period, 267 new published papers and preprints were released matching the query for Computer Science - Computer Vision & Pattern Recognition. This represents 100.00% of the 267 written since Sep 30, 2022.
Of these, 106 were published in the most recent day. A notable paper was: Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision by Swetava Ganguli, et al. (October 06 2022) published in Arxiv (Computer Science).
A notable paper from earlier in the week was: Towards Semi-automatic Detection and Localization of Indoor Accessibility Issues using Mobile Depth Scanning and Computer Vision by Xia Su, et al. (October 05 2022) published in Arxiv (Computer Science).
The paper shared the most on social media over the course of the week was: ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training by Antonio Norelli, et al. (October 04 2022) published in Arxiv (Computer Science) with 64 shares. @arxivml (午後のarXiv) tweeted ""ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training", Antonio Norelli, Marco Fumero, Valentino… https://t.co/piwcMLeRZG"
Over the most recent week of the query period, 142 new published papers and preprints were released matching the query for Computer Science - Computer & Society. This represents 100.00% of the 142 written since Sep 30, 2022.
Over the most recent week of the query period, 196 new published papers and preprints were released matching the query for Computer Science - Human-Computer Interaction. This represents 2.12% of the 9,261 written since Sep 30, 2022.
The paper shared the most on social media over the course of the week was: TabDDPM: Modelling Tabular Data with Diffusion Models by Akim Kotelnikov, et al. (September 30 2022) published in Arxiv (Computer Science) with 95 shares. @aicrumb (crumb) tweeted "diffusion models are so transformative that they are the best option for "privacy concerned scenarios when syntheti… https://t.co/4GUn6W0Fgf"
Over the most recent week of the query period, 2719 new published papers and preprints were released matching the query for Computer Science - Neural and Evolutionary Computing. This represents 100.00% of the 2,719 written since Sep 30, 2022.
Of these, 984 were published in the most recent day. A paper discussed in the news was: Deep underground laboratory measurement of $^{13}$C($\alpha$,$n$)$^{16}$O in the Gamow windows of the $s$- and $i$-processes by B. Gao, et al. (October 06 2022) published in Arxiv (Nuclear Experiment). It was referenced in the article "New Measurement of Stellar Neutron Source Reaction Resolves Long-standing Discrepancies" in Chinese Academy of Sciences + 1 other
The paper earlier in the week that was most discussed in the news was: Immediate origin of the Moon as a post-impact satellite by Jacob A. Kegerreis, et al. (October 04 2022) published in Arxiv (Astrophysics). It was referenced 3 times, including in the article "Giant impact could have formed the Moon more rapidly, scientists reveal in new simulations" in Space Daily + 10 others. The paper author, Jacob A. Kegerreis, was quoted saying "This opens up a whole new range of possible starting places for the Moon's evolution. We went into this project not knowing exactly what the outcomes of these very high-resolution simulations would be. So, on top of the big eye-opener that standard resolutions can give you wrong answers, it was extra exciting that the new results could include a tantalizingly Moon-like satellite in orbit.".
The paper shared the most on social media over the course of the week was: WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration by Yuma Koizumi, et al. (October 03 2022) published in Arxiv (Statistics) with 169 shares. @yuma_koizumi (Yuma Koizumi) tweeted "New non-AR neural vocoder, named WaveFit💪! WaveFit integrates the essence of GANs into a DDPM-like iterative framew… https://t.co/5utAGTNLxX"
Over the most recent week of the query period, 161 new published papers and preprints were released matching the query for Computer Science - Robotics.. This represents 100.00% of the 161 written since Sep 30, 2022.
A notable paper from earlier in the week was: Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers by Yan Wang, et al. (October 05 2022) published in Arxiv (Computer Science).
The paper shared the most on social media over the course of the week was: DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics by Ivan Kapelyukh, et al. (October 05 2022) published in Arxiv (Computer Science) with 115 shares. @ArxivIir (IIR_arxiv) tweeted "@ArxivIir 標題:DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics 連結:https://t.co/GuoB8CWK6U"