Ayush Bharti @ayushb05
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence. bharti-ayush.github.io Joined July 2022-
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Ayush Bharti retweeted
📢 Call for Papers – EIML@EurIPS2025 🎓 The 1st Workshop on Epistemic Intelligence in Machine Learning will be held at EurIPS 2025, Copenhagen this December !! 🌐 sites.google.com/view/eiml-euri…
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I'm actually getting concerned about Gemini's mental health.
I'm actually getting concerned about Gemini's mental health. https://t.co/BbVm9Vl6nf
Ayush Bharti retweeted
Just finished delivering a course on 'Robust and scalable simulation-based inference (SBI)' at Greek Stochastics. This covered an introduction to SBI, open challenges, and some recent contributions from my own group. The slides are now available here: fxbriol.github.io/pdfs/slides-SB…
Ayush Bharti retweeted
Today is the day of the pre-ICML event at UCL! Come check out the exciting work from academics, industry researchers, postdocs and PhD students from around London: sites.google.com/view/pre-icml-… @stats_UCL @uclcsml
Ayush Bharti retweeted
New ICML 2025 paper! arxiv.org/abs/2505.20433 Kernel mean embeddings are a super useful tool for representing and comparing distributions through the maximum mean discrepancy (MMD). In this paper, we consider embeddings of distributions using kernel quantiles instead of means.
Ayush Bharti retweeted
New ICML 2025 paper: Robust Spatio-Temporal GP Regression! We propose a new GP method with linear-in-time cost that is provably robust to outliers. Unlike competitors, our method is fully conjugate and requires no expensive variational inference! arxiv.org/abs/2502.02450
Ayush Bharti retweeted
Ever used kernel mean embeddings or MMD? Wished you had a closed-form expression so you wouldn't need to estimate these? See our new paper with Alex Gessner, Toni Karvonen and @MMahsereci, which comes with an associated Python package. arxiv.org/abs/2504.18830
Ayush Bharti retweeted
My collaborator @ayushb05 will be presenting our recently accepted AISTATS paper on 'cost-aware simulation-based inference' at the next One World ABI Seminar on the 27th February. arXiv paper: arxiv.org/abs/2410.07930 Seminar series: warwick.ac.uk/fac/sci/statis…
Ayush Bharti retweeted
William Laplante, Matias Altamirano, Andrew Duncan, Jeremias Knoblauch, Fran\c{c}ois-Xavier Briol. [stat.CO]. Robust and Conjugate Spatio-Temporal Gaussian Processes. arxiv.org/abs/2502.02450
One week to go for the deadline!
One week to go for the deadline!
Ayush Bharti retweeted
Postdoc, research fellow and PhD positions: the call to join the Finnish Center for #ArtificialIntelligence is now open. Check out our research areas and supervisors and apply by Feb 2, 2025: fcai.fi/winter-2025-re…
The amount of time I spend on the first paragraph of a new intro and still end up with something that's barely any different from the previous papers is frankly embarrassing.
The amount of time I spend on the first paragraph of a new intro and still end up with something that's barely any different from the previous papers is frankly embarrassing.
Let me know if you are around there as well. 🦋
Ayush Bharti retweeted
ELLIS Institute Finland is launching with public (@okmfi) and private support (@petersarlin) 🤝 A significant boost for AI R&D and a signal that Finland is investing in AI to attract the best talents and fuel growth & expertise in Europe. fcai.fi/news/2024/10/2… @ELLISforEurope
Ayush Bharti retweeted
I want to highlight another item in addition to Arno who is clearly a rising star if not a star already: A future rising star @DaolangHuang was a runner-up in the race. We will certainly hear more of him later! (Sorry to induce pressure on you Daolang...)
I want to highlight another item in addition to Arno who is clearly a rising star if not a star already: A future rising star @DaolangHuang was a runner-up in the race. We will certainly hear more of him later! (Sorry to induce pressure on you Daolang...)
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