Ashesh

159 posts

Ashesh

Ashesh

@ashesh0

Assistant Professor, CSE, Ashoka University

Sonipat, India Katılım Mayıs 2014
333 Takip Edilen179 Takipçiler
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Ashesh
Ashesh@ashesh0·
Our work on generalizing across variations in the strength of structures within superimposed images—an issue relevant for semantic unmixing and bleed-through removal in fluorescence microscopy—has been accepted at NeurIPS 2025! (arxiv.org/abs/2503.22983) @florianjug
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Ashesh
Ashesh@ashesh0·
Great going !! 🤩
IndiaBioscience.org@IndiaBioscience

YIM 2026 is just 3 days away — and as we count down, here’s an inspiring #JOYI2026 story. From a remote village in Haryana to leading a lab at @IISERPune@Saritapuri24’s journey to science was anything but conventional. With no academic role models growing up, she built her path through persistence, mentorship, and self-belief. #JOYI2026 Read 👉 buff.ly/F4um47v @LaStatale @IBCSinica @IITDelhi

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MDS Sanskrit College
MDS Sanskrit College@sanskrit1906·
We are thrilled to share significant progress on our ambitious Artificial Intelligence (AI) and Large Language Model (LLM) development program for Sanskrit, which was officially inaugurated on Vijayadasami day this year. The Core Mission and Team A dedicated core group of professionals spanning IT, Data Science, and Sanskrit Studies is driving this effort to create the country's first truly capable Sanskrit LLM. Our foundational strategy is centered on developing a comprehensive, high-quality Sanskrit corpus. Massive Data Corpus Development Our initial focus has been on leveraging our institutional assets. Our combined libraries (College and KSRI) hold over 110,000 texts, scriptures (Śāstras), and several thousand manuscripts. Initial Focus: We commenced the digitization process by converting scanned images of rare books and manuscripts into digital text. Technological Breakthrough: Our in-house scholars successfully developed proprietary software to automate the conversion of PDF image data into editable text. Proof of Concept Success: We successfully converted 180 volumes of the now discontinued 'Chandamama' magazine in Sanskrit, proving the efficiency of our automated workflow. Scaling Up: Building on this success, we rapidly converted over 1,000 books into text in less than 24 hours, dramatically accelerating the corpus creation phase. The Path Ahead: Curation and Modeling We are now moving into the crucial validation and modeling stages: Data Curation & Quality Control: We are actively recruiting part-time Sanskrit scholars to meticulously edit and curate the newly converted texts, ensuring accuracy and correcting any errors generated during the automated process. This step is vital for the model's performance. Next Phase: The curated and verified data will then be prepared—through tokenization—and fed into our proprietary AI model for training. 🤝 Join Us in Making History This is a massive, pioneering effort, and we invite skilled individuals to contribute. If you have expertise in Sanskrit, Linguistics, and/or Data Science, we welcome you to join our team. DM us today to become part of this unique exercise. Together, we aim to make history by developing the first comprehensive AI-LLM for Sanskrit in the country, unlocking the potential of this ancient language for the digital age. @dpradhanbjp @SanjeevSanskrit @MaharishiAazaad @sain57356 @SanskritChannel #SanskritDiwas @davidfrawleyved @sanskritiias @TheSanskriti_ @kalyan97 @annamalai_k @yajnadevam @Rtam86418021 @SanjeevSanskrit @Kar_Sas123 @subhash_kak @AGeorge56445 @AkhilKumarSaho8 @vikramsampath @DeepakChopra @jsaideepak @itisatp @BjpSashi @PMOIndia @DrManishKumar1 @ARanganathan72 @sanjeevsanyal @kalyan97 @dushyanthsridar @RajVedam1 @mmpandit @periyanatt96807 @Ugrashravas
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Anirban Ray
Anirban Ray@anirbanray_·
ResMatching accepted to @IeeeIsbi 2025🎉. We extend Guided CFM to Computational Super-Resolution under extreme noise, achieving SOTA performance and calibrated posterior sampling that reflects uncertainty in real data. Learn more here: linkedin.com/posts/anirban-… #ISBI2026
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Jennifer Waters
Jennifer Waters@JenCWaters·
🔬 🖥️ Applications are open for the CSHL course Quantitative Imaging: From Acquisition to Analysis (April 6–21, 2026)! An intensive, hands-on course covering advanced fluorescence microscopy and quantitative image analysis using open-source tools. 🗓️ Apply online by Jan 30, 2026 meetings.cshl.edu/courses.aspx?c…
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Ashesh
Ashesh@ashesh0·
@sherjilozair Amazing journey :) I hope you do get more breakthrough ideas !!
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Sherjil Ozair
Sherjil Ozair@sherjilozair·
Very happy to hear that GANs are getting the test of time award at NeurIPS 2024. The NeurIPS test of time awards are given to papers which have stood the test of the time for a decade. I took some time to reminisce how GANs came about and how AI has evolve in the last decade.
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Sarita
Sarita@Saritapuri24·
Thanks @Biopatrika for highlighting our recent publication in Journal of Molecular Biology. Kudos to my Students Sharvari Palkar, Ishaan Chaudhary, Basudha Patel and our collaborator Amit Kumawat and @asibc512. Also, thanks to @IISERPune for infrastructure!
Biopatrika@biopatrika

#researcherspotlight @Saritapuri24 along with Sharvari Palkar, Ishaan Chaudhary and Basudha Patel from IISER Pune talks about their lab's first work on "How Amyloid Fibrils Form Diverse Structures in AL Amyloidosis" published in JMB #amyloid biopatrika.com/academia/resea… @biopatrika

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Gabriele Berton
Gabriele Berton@gabriberton·
This simple pytorch trick will cut in half your GPU memory use / double your batch size (for real). Instead of adding losses and then computing backward, it's better to compute the backward on each loss (which frees the computational graph). Results will be exactly identical
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Ashesh
Ashesh@ashesh0·
Excited to share that I’ll be at #NeurIPS2025 in Mexico next week! 🎉 📢 I’ll be presenting our paper here: neurips.cc/virtual/2025/l… 🚀 Interested in Computer Vision applied to Biological/Biomedical data? Let's meet!
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CSE Department @ IIT Delhi
Exploring faculty positions? Thinking about joining Indian academia? Curious about the application process or about @iitdelhi? Meet us at NeurIPS 2025! Our faculty members — Prof. Mausam (@mishumausam), Prof. Sayan Ranu (@SayanRanu), and our newly joined colleague Prof. Adarsh Barik (adarsh-barik.github.io) — will be there. Feel free to connect with them during the conference. We are happy to chat and answer questions!
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Sarita
Sarita@Saritapuri24·
I am happy to share our recently accepted article in the Journal of Molecular Biology (doi.org/10.1016/j.jmb.…), where we identified unique aggregation hotspots and early events of aggregation in the highly amyloidogenic light chain AL55.
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Tilak Varma
Tilak Varma@TilakV9·
🇮🇳🇮🇳🇮🇳❤️
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Hsuan-Tien Lin
Hsuan-Tien Lin@hsuantienlin·
not clear why there’s an untrue rumor that @NeurIPSConf will drop submissions arbitrarily; NO. As Senior PC, I’d defend our teams who are working hard in this last weekend to ensure no boundary/outlier decisions are made lightly. Kudos to our teams/SACs/ACs on their efforts.
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