iiinova — where your digital self keeps evolving

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Transactions on Machine Learning Research @tmlrorg.bsky.social · 16/09/2026

TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/ask...

medium.com

Asking Authors About Their Own Papers

By Nihar B. Shah

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Zhidi Lin @zhidilin.bsky.social · 17/09/2026

Excited to share that I’ll soon be joining the Department of Mathematics and Information Technology at The Education University of Hong Kong (EdUHK) as an Assistant Professor! 🎉 Looking forward to the new journey, new collaborations, and all the opportunities ahead.

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Zhidi Lin @zhidilin.bsky.social · 02/07/2025

First day and the chicken rice @ HKU

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hardmaru @hardmaru.bsky.social · 04/06/2025

AI that can improve itself: A deep dive into self-improving AI and the Darwin-Gödel Machine. richardcsuwandi.github.io/blog/2025/dgm/ Excellent blog post by Richard Suwandi reviewing the Darwin Gödel Machine (DGM) and future implications.

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Zhidi Lin @zhidilin.bsky.social · 06/06/2025

Duffing oscillator en.wikipedia.org/wiki/Duffing...

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Christian A. Naesseth @canaesseth.bsky.social · 13/04/2025

Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making! Tickets (free but limited!): lu.ma/5syzr79m More info: approximateinference.org #Bayes #MachineLearning #ICLR2025 #AABI2025

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Alex Thiery @alexxthiery.bsky.social · 19/04/2025

These sparse Gaussian Processes have been around longer than some grad students, but still fun to code! (and today was my first time coding one...)

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Pierre Alquier @pierrealquier.bsky.social · 05/03/2025

I already advertised for this document when I posted it on arXiv, and later when it was published. This week, with the agreement of the publisher, I uploaded the published version on arXiv. Less typos, more references and additional sections including PAC-Bayes Bernstein. arxiv.org/abs/2110.11216

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Zhidi Lin @zhidilin.bsky.social · 26/02/2025

This paper on sparse variational Gaussian processes is quite intriguing... I always find great enjoyment in reading Titsias's work.

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Kacper Wyrwal @wyrwalkacper.bsky.social · 13/02/2025

Excited to share our ICLR 2025 oral "Residual Deep Gaussian Processes on Manifolds"! With @vabor112.bsky.social & @arkrause.bsky.social, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. Applications include wind prediction & Bayes opt! 1/n

Schematic illustration of a scalar-valued residual deep GP with L hidden layers. The last layer is a scalar-valued GP on the manifold. If it is not present, the model is manifold-valued. If it is replaced with a Gaussian vector field (GVF), the model is a vector field on the manifold.

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David T Frazier @dtfrazier.bsky.social · 13/02/2025

The deadline for abstract submission of contributed papers and posters for BayesComp2025 has been extended to 28 February. Decisions by 14 March. Submit here! bayescomp2025.sg/abstract-sub... The deadline for early bird registration has been extended to March 22. Hope to see you in Singapore!

bayescomp2025.sg

Bayes Comp 2025

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Zhidi Lin @zhidilin.bsky.social · 15/02/2025

Nothing compares to the moment my newborn smiled at me. Pure, unfiltered joy and love. My heart is so full... 🥹💖

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Zhidi Lin @zhidilin.bsky.social · 30/01/2025

2. The SLIM-KL framework, combining quantized ADMM for privacy and communication efficiency with Distributed Successive Convex Approximation for scalable optimization. 3. Theoretical convergence guarantees and superior performance on diverse datasets, showcasing scalability and efficiency.

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Zhidi Lin @zhidilin.bsky.social · 30/01/2025

In this work, we addressed challenges in Gaussian process (GP) regression for multidimensional and large-scale data. Our key contributions: 1. A new GP kernel that reduces hyperparameters while maintaining strong performance, promoting sparsity for efficient optimization.

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Zhidi Lin @zhidilin.bsky.social · 30/01/2025

Thrilled to share that our paper has been accepted by IEEE TNNLS! This is my first journal paper as a mentor and a co-first author. I’m incredibly proud to have collaborated with @richardcsuwandi.bsky.social. Richard’s dedication made this a truly rewarding experience.

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Alex Thiery @alexxthiery.bsky.social · 15/12/2024

One #postdoc position is still available at the National University of Singapore (NUS) to work on sampling, high-dimensional data-assimilation, and diffusion/flow models. Applications are open until the end of January. Details: alexxthiery.github.io/jobs/2024_di...

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Zhidi Lin @zhidilin.bsky.social · 14/12/2024

Langevin Monte Carlo (LMC). Just tried to generate a video to visualize the process 😀

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Tanishq Mathew Abraham @iscienceluvr.bsky.social · 10/12/2024

Inventors of flow matching have released a comprehensive guide going over the math & code of flow matching! Also covers variants like non-Euclidean & discrete flow matching. A PyTorch library is also released with this guide! This looks like a very good read! 🔥 arxiv: arxiv.org/abs/2412.06264

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ruiqigao.bsky.social @ruiqigao.bsky.social · 02/12/2024

A common question nowadays: Which is better, diffusion or flow matching? 🤔 Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.

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uai2026 @auai.org · 03/12/2024

The 41st Conference on #Uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25! The CfP is out 👉 www.auai.org/uai2025/call... 🚨 Feb 10: Paper submission 🗣️ Apr 3-10: rebuttal period 🎉/💀 May 6: Author notification #UAI2025 #ML #stats #learning #reasoning #uncertainty

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Ruben Ohana @rubenohana.bsky.social · 02/12/2024

Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? 🧪🌌 Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology. 🐙: github.com/PolymathicAI... 📜: openreview.net/pdf?id=00Sx5...

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Alex Thiery @alexxthiery.bsky.social · 23/11/2024

go.bsky.app/PFpnqeM

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Alexander Terenin @avt.im · 21/11/2024

I made a starter pack for machine learning researchers working on Bayesian optimization and Gaussian processes! It's *very* sparse ATM since the migration is still in progress. Please reply to make me aware of people - potentially yourself - who should be added to it! go.bsky.app/QYMEQ52

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