Subhajit Maity @_SubhajitMaity_
Jack of all trades, Master of Some! Writer, Photographer, Artist and a Nerd | PhD @ CS UCF subhajitmaity.me Orlando, Florida Joined June 2011-
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@Kaszanas Many beliefs in deep learning go unquestioned. Intuition helps, but it can also mislead.
UCF’s new Institute for Artificial Intelligence positions the university as a national leader in AI. Led by Trustee Chair @ucfmshah, it unites 25 faculty and industry partners to drive groundbreaking research: bit.ly/4mqItih
UCF Launches Institute of Artificial Intelligence to Advance Research, Talent Development Across Disciplines: ucf.edu/news/ucf-launc…
I am in Nashville and shall be presenting our work at Ex Hall D, tomorrow at poster 211 from 4 PM to 6 PM CDT. Do drop by if you're interested or want to have a quick chat. Project Page: subhajitmaity.me/SketchDownTheF… #CVPR #CVPR2025 #Nashville
Don't forget to check out the VideoLLMs Workshop tomorrow ! When: June 11 Where: Grand Ballroom A1 (Fourth Floor) 🔑 6 keynotes 📷 $8 K challenge-prize reveal 📝 Paper talks and Poster session See you there! #ComputerVision #GenerativeAI
On my way to Nashville for #CVPR If you wish to meet drop me an email at [email protected] If you are at the venue on Sunday, please visit our work at Ex. hall D, Poster 211! #Nashville #CVPR2025
🚀 Excited to share "Kolmogorov-Arnold Attention: Is Learnable Attention Better for Vision Transformers?" 🔷 We argue that dynamic learning of attention may lead to richer feature representations. 🌐 Project Page: subhajitmaity.me/KArAt 📜 Paper: arxiv.org/abs/2503.10632
An Efficient Alternative to Self-Attention This paper presents FFTNet, a framework that replaces costly self-attention with an adaptive spectral filtering technique based on the Fast Fourier Transform (FFT). Key components: • Global token mixing via FFT – Instead of pairwise…
Is Noise Conditioning Necessary for Denoising Generative Models? "Motivated by research on blind image denoising, we investigate a variety of denoising-based generative models in the absence of noise conditioning. To our surprise, most models exhibit graceful degradation, and in…
📊 We hope SB-bench serves as a critical tool in building fairer, more responsible AI systems. We welcome the community to explore, critique, and expand on this work! Thanks to the entire core team! Vishal Narnaware, Ashmal Vayani, Rohit Gupta, and Sirnam Swetha.
📊 We hope SB-bench serves as a critical tool in building fairer, more responsible AI systems. We welcome the community to explore, critique, and expand on this work! Thanks to the entire core team! Vishal Narnaware, Ashmal Vayani, Rohit Gupta, and Sirnam Swetha.
Congrats @sanket10rony @AyanBan6992
To all who like this - what if I told you this book is not about the linear deterministic kind of SSM used by Mamba, S4, etc. but instead is about Bayesian inference in stochastic nonlinear dynamical models - would you still be interested?
To all who like this - what if I told you this book is not about the linear deterministic kind of SSM used by Mamba, S4, etc. but instead is about Bayesian inference in stochastic nonlinear dynamical models - would you still be interested?
Stanley's probability textbook (probability4datascience.com) is fantastic, so I imagine this tutorial on diffusion is good as well. However, I am no longer of a fan of presenting the discrete time version - the flow matching interpretation seems more elegant.
Stanley's probability textbook (probability4datascience.com) is fantastic, so I imagine this tutorial on diffusion is good as well. However, I am no longer of a fan of presenting the discrete time version - the flow matching interpretation seems more elegant.
Exciting News! I'm thrilled to share that we will be presenting a paper this year on the #CVPR 2024 conference in Seattle this week! 🎉 Curtis Wigington will present the work at the "Spotlight Session" of the Graphic Design (GDUG) Workshop on Monday 17th 4.10 PM PDT.
And... the first-ever ICLR test-of-time award goes to "Auto-Encoding Variational Bayes" by Kingma & Welling. Runner-up: "Intriguing properties of neural networks", Szegedy et al. The awards will be presented at 2:15pm tomorrow; there will be retrospective talks. Please attend!
Excited to share our latest research "GraphKD" to perform knowledge distillation towards document object detection accepted at #ICDAR2024! Huge shoutout to my co-authors @sanket10rony @JosepLlados and Umapada Pal for their invaluable contributions! 📚🔍
I find myself repeating the same advice to students again & again. So I finetuned Mistral.APR.01 on the last 4 years of my Slack history. Now it's answering questions for me. I can go biking for a week and nobody notices. I think my students may actually be getting better advice.
Photographs taken in the right place at the right time, intentionally or by chance - a thread 🧵 1. Wilma Hurskainen

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Sanket Biswas @sanket10rony
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Lucas Manuelli @lucas_manuelli
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Jan Leike @janleike
115K Followers 332 Following ML Researcher @AnthropicAI. Previously OpenAI & DeepMind. Optimizing for a post-AGI future where humanity flourishes. Opinions aren't my employer's.
Neel Nanda @NeelNanda5
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Ser Nam @sernamlim
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Behnam Neyshabur @bneyshabur
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Federico Tombari @fedassa
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Gaurav @mitts1910
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Thang Luong @lmthang
27K Followers 95 Following Lead Superhuman Reasoning team @GoogleDeepMind. AI IMO Gold. Co-led #DeepThink, #AlphaGeometry, #Bard (now Gemini) Multimodality, #MeenaBot. LuongAttention.
Yoshitomo Matsubara @yoshitomo_cs
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Stanford HAI @StanfordHAI
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UC Berkeley RDI @BerkeleyRDI
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