Inventing a new way to do research @Simplifine (YC 24) | Rhodes Scholar | Anthropologist
Research workflows can be a real challenge. I remember spending countless hours trying to connect the dots between different platforms. It was inefficient and exhausting. I wrote a Medium post explores how Simplifine can simplify this process. https://lnkd.in/dcxBUfZZ
"Thrilled to share that our research paper has been officially published! 🎉✨ Grateful for the incredible support and collaboration from my mentors, colleagues, and everyone who contributed to this journey. This milestone is a testament to the power of teamwork and perseverance. Here’s to pushing the boundaries of knowledge and making an impact! Please have a read and Do cite. 🙌📚 #Research #Publication #Gratitude"
Cultural aspects + Bias + learning to start from Outcomes which are the result of goals which are derived from primary and secondary tasks. My Summary starting from timecode 18:29 https://lnkd.in/gBuUdwGh
The question "How does a?" is used to inquire about the functioning, process, or behavior of a specific object, system, or phenomenon. This question is essential for understanding how things work, whether in the context of science, technology, nature, or everyday life. In this article, we explore the significance of asking "How does a?"
The question "How does a?" is used to inquire about the functioning, process, or behavior of a specific object, system, or phenomenon. This question is essential for understanding how things work, whether in the context of science, technology, nature, or everyday life. In this article, we explore the significance of asking "How does a?"
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Professor at University of Windsor, CSO and partner at Movyl Technologies and MVYL Associates
Open-Sora Plan: Open-Source Large Video Generation Model (YUAN Lab at PKU, November 2024) Paper: https://lnkd.in/gGCnDkji Abstract: "We introduce Open-Sora Plan, an open-source project that aims to contribute a large generation model for generating desired high-resolution videos with long durations based on various user inputs. Our project comprises multiple components for the entire video generation process, including a Wavelet-Flow Variational Autoencoder, a Joint Image-Video Skiparse Denoiser, and various condition controllers. Moreover, many assistant strategies for efficient training and inference are designed, and a multi-dimensional data curation pipeline is proposed for obtaining desired high-quality data. Benefiting from efficient thoughts, our Open-Sora Plan achieves impressive video generation results in both qualitative and quantitative evaluations. We hope our careful design and practical experience can inspire the video generation research community." GitHub: https://lnkd.in/g9efC_9U
Interesting and useful article.
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Generating cat videos is fun and all, but this research is important: https://lnkd.in/gyyRwVSa
🏇 Our reproducibility study paper got accepted to TMLR 🤺 With Jiapeng F. Luke Cadigan Sebastian Arias Paper: https://lnkd.in/eJwkU-bK Despite existing good available code, scientific results can be non-trivial to reproduce. ▪ We reproduced the paper "Learning Perturbations to Explain Time Series Predictions" https://lnkd.in/ebR8GzDd with detailed instructions how to reproduce our own code ▪Our findings generally support the conclusions of the original paper ▪We proposed novelties: (1) a more appropriate (in our view) saliency metric, an analysis on the relation between noise and the original data on a healthcare dataset (2) investigated that ExtremalMask generates more probable data than the original signal - not out of distribution! Original repo: https://lnkd.in/eFhgaNNV Our repo: https://lnkd.in/erSY89b4
Private Equity @ Alpine Investors | Monetization Strategy
3wLove this!