Sajib Acharjee Dip @_sajib_006
CS Ph.D. Student, Virginia Tech Joined November 2023-
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CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types 1. A novel new method, CFM-GP, has been introduced to predict gene perturbation effects across diverse cell types using a unified model. This approach eliminates the need for separate models…
Sajib Acharjee Dip's publications at dblp.org/pid/372/5329 #dblp
PathoLM is in GitHub now: github.com/Sajib-006/Path… Read the paper: proceedings.mlr.press/v261/dip24a.ht…
DeepSeek-R1 is great, but it still does not handle genomics yet :) 🚀 We’re thrilled to announce that IntegrAO (pronounced "integral") 🧬🔬—our new multi-omics integration framework—has been published in Nature Machine Intelligence! 📑 Paper: nature.com/articles/s4225… 💻 Code:…
Our paper "Assessing ChatGPT’s Code Generation Capabilities with Short vs Long Context Programming Problems" was accepted at the NSysS'24 conference and published in ACM Proceedings. #ChatGPT #GPT4 #CodeGeneration #Context #ProblemSolving dl.acm.org/doi/full/10.11…
🎉 Two multimodal molecular learning papers at ICLR 2025! 1️⃣ Llamole: Multimodal large language models for top-down synthesizable inverse molecular design: arxiv.org/abs/2410.04223 2️⃣ InfoAlign: Learning molecular representations with cellular responses: arxiv.org/abs/2406.12056
When ChatGPT first launched, I told a Googler that Google was facing an unprecedented challenge and a new paradigm centered around LLMs would emerge. He disagreed then. Now, he’s left Google to start his own LLM company. When GPT-4o was established, I told a friend that…
DeepAge: Harnessing Deep Neural Network for Epigenetic Age Estimation From DNA Methylation Data of human blood samples biorxiv.org/cgi/content/sh…
DeepAge: Harnessing Deep Neural Network for Epigenetic Age Estimation FromDNA Methylation Data of human blood samples biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
Find our new paper on biological age estimation from DNA methylation data: biorxiv.org/content/10.110…
Biologists taking machine learning techniques from computer vision and nlp
🚨Open PhD position at @HelmholtzMunich @TU_Muenchen in Structural Biology. Apply by October 1! The project involves an integrative approach using #NMR 🧲, AI-based protein structure prediction 🖥️ , and cryo-EM ❄️ jobs.helmholtz-muenchen.de/jobposting/37a…
Dive into our latest review of cutting-edge large language models specialized in biomedicine! We cover three essential types of biomedical data: 1. Textual Data 📝 2. Biological Sequences 🧬 3. Brain Signals 🧠 #Biomedicine #AI #DataScience arxiv.org/abs/2403.15673
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
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Gina El Nesr @ginaelnesr
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Jiaxuan You @youjiaxuan
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Sean Ren @xiangrenNLP
13K Followers 546 Following Building @SaharaLabsAI 🍦| Professor @USCViterbi @nlp_usc | @MIT TR 35 , @ForbesUnder30 | Prev: @allen_ai, @Snapchat, @Stanford, @UofIllinois
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Wenhu Chen @WenhuChen
22K Followers 663 Following AI researcher. Interested in Reasoning, Multimodal. I direct TIGER-Lab. Author of PoT, MMMU, MMLU-Pro, MAmmoTH, LongRAG, MAP-Neo, YuE, VL-Rethinker
Yi Tay @YiTayML
46K Followers 81 Following research scientist @googledeepmind ✨♊, model co-lead/captain of gemini deepthink imo gold medal 🥇, opinions are my own.
Xi Ye @xiye_nlp
3K Followers 398 Following I study NLP. Postdoc fellow @PrincetonPLI. Incoming assistant professor @UAlberta (Summer 2025). CS PhD @UTAustin.
Yu Su (hiring postdoc... @ysu_nlp
11K Followers 948 Following cooking something new. prof. @osunlp. sloan fellow. intelligence and agents. author of Mind2Web, SeeAct, MMMU, HippoRAG, BioCLIP, UGround.
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5K Followers 888 Following @XLangNLP lab, asst. prof. @HKUniversity. author of OpenCUA, OSWorld, Aguvis, Spider, OpenAgents, Text2Reward, Instructor. prev. postdoc @uwnlp; phd @Yale.
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5K Followers 577 Following Prof. @OhioState, endowed CoE Innovation Scholar, advancing the capability and safety/security of LLM-based agents, understanding transformers' limitations
Sparsity in LLMs Work... @sparseLLMs
194 Followers 20 Following Workshop on Sparsity in LLMs: Deep Dive into Mixture of Experts, Quantization, Hardware, and Inference @iclr_conf 2025.
Neuroexplicit Models ... @neuroexplicit
259 Followers 9 Following We combine neural with symbolic and other models to improve over both. Up to 24 PhD students with advisors at Saarland U, Max Planck Institutes, DFKI, CISPA.
David Pfau @pfau
29K Followers 2K Following Knowledge manifests itself in radiant dreams that shimmer like the wild sun Views are my own https://t.co/xqtVHHVI17 on 🦋
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108K Followers 519 Following Researcher (now: Meta. ex: OpenAI, DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://t.co/xe2XUqkKit ✗DMs → email
Delip Rao e/σ @deliprao
61K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈
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77K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre physicist at @nyuniversity (@CILVRatNYU) & @PrescientDesign
(((ل()(ل() 'yoav)))... @yoavgo
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MLGenX Workshop @ ICL... @MLGenX
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