Ayush Bharti
@ayushbharti.bsky.social
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence.
Website: http://bharti-ayush.github.io
Website: http://bharti-ayush.github.io
Reposted by Ayush Bharti
The abstract submission deadline for the ELLIS Workshop on Amortized Probabilistic ML has been extended to October 25th!
You still have time to submit a short abstract on your work in: Amortized Inference, Neural processes, Prior-fitted networks, Sequential Decision-Making, and Foundation models.
You still have time to submit a short abstract on your work in: Amortized Inference, Neural processes, Prior-fitted networks, Sequential Decision-Making, and Foundation models.
October 17, 2025 at 11:22 AM
The abstract submission deadline for the ELLIS Workshop on Amortized Probabilistic ML has been extended to October 25th!
You still have time to submit a short abstract on your work in: Amortized Inference, Neural processes, Prior-fitted networks, Sequential Decision-Making, and Foundation models.
You still have time to submit a short abstract on your work in: Amortized Inference, Neural processes, Prior-fitted networks, Sequential Decision-Making, and Foundation models.
Reposted by Ayush Bharti
Thinking about a #PhD in AI + #machinelearning?
🇫🇮 Read about @ayushbharti.bsky.social's experience doing research in Finland:
www.ellisinstitute.fi/collaboratio...
Then,
👀 Apply for the @ellis.eu PhD program by October 31 🎃 : ellis.eu/news/ellis-p...
🇫🇮 Read about @ayushbharti.bsky.social's experience doing research in Finland:
www.ellisinstitute.fi/collaboratio...
Then,
👀 Apply for the @ellis.eu PhD program by October 31 🎃 : ellis.eu/news/ellis-p...
“Collaboration is a feature of the Finnish research community” | ELLIS Institute Finland
Strong collegial network is an asset to Ayush Bharti's research on robust machine learning.
www.ellisinstitute.fi
October 6, 2025 at 11:06 AM
Thinking about a #PhD in AI + #machinelearning?
🇫🇮 Read about @ayushbharti.bsky.social's experience doing research in Finland:
www.ellisinstitute.fi/collaboratio...
Then,
👀 Apply for the @ellis.eu PhD program by October 31 🎃 : ellis.eu/news/ellis-p...
🇫🇮 Read about @ayushbharti.bsky.social's experience doing research in Finland:
www.ellisinstitute.fi/collaboratio...
Then,
👀 Apply for the @ellis.eu PhD program by October 31 🎃 : ellis.eu/news/ellis-p...
Reposted by Ayush Bharti
I'm looking for a Doctoral Researcher (PhD student) to work with me on simulation-based inference at Data Science Research Centre, Tampere University Check the link for details and send an application before October 10th.
tuni.rekrytointi.com/paikat/?o=A_...
tuni.rekrytointi.com/paikat/?o=A_...
Doctoral Researcher (simulation-based inference) / Väitöskirjatutkija (simulaatio-pohjainen päättely)
tuni.rekrytointi.com
September 1, 2025 at 6:51 AM
I'm looking for a Doctoral Researcher (PhD student) to work with me on simulation-based inference at Data Science Research Centre, Tampere University Check the link for details and send an application before October 10th.
tuni.rekrytointi.com/paikat/?o=A_...
tuni.rekrytointi.com/paikat/?o=A_...
Reposted by Ayush Bharti
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-....
The slides are now available here: fxbriol.github.io/pdfs/slides-....
August 28, 2025 at 11:46 AM
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-....
The slides are now available here: fxbriol.github.io/pdfs/slides-....
Great initiative!
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-icm... @statisticsucl.bsky.social @ucl-csml-ellis.bsky.social
Pre ICML @ London 2025
The goal of this meetup is to bring together students, researchers, and engineers from the greater London area to discuss machine learning research presented at International Conference on Machine Lea...
sites.google.com
July 3, 2025 at 8:03 AM
Great initiative!
"Cost-aware simulation-based inference" is accepted at AISTATS 2025.
Check out our poster #205 on Sunday May 4th in Hall A-E if you are in Phuket. Finland's rising star @huangdaolang.bsky.social will be there to assist you :D
arxiv.org/abs/2410.07930
@fxbriol.bsky.social @samikaski.bsky.social
Check out our poster #205 on Sunday May 4th in Hall A-E if you are in Phuket. Finland's rising star @huangdaolang.bsky.social will be there to assist you :D
arxiv.org/abs/2410.07930
@fxbriol.bsky.social @samikaski.bsky.social
Cost-aware simulation-based inference
Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computation...
arxiv.org
May 2, 2025 at 6:45 AM
"Cost-aware simulation-based inference" is accepted at AISTATS 2025.
Check out our poster #205 on Sunday May 4th in Hall A-E if you are in Phuket. Finland's rising star @huangdaolang.bsky.social will be there to assist you :D
arxiv.org/abs/2410.07930
@fxbriol.bsky.social @samikaski.bsky.social
Check out our poster #205 on Sunday May 4th in Hall A-E if you are in Phuket. Finland's rising star @huangdaolang.bsky.social will be there to assist you :D
arxiv.org/abs/2410.07930
@fxbriol.bsky.social @samikaski.bsky.social
Looking forward to this!
Reminder that the next OWABI seminar www.warwick.ac.uk/owabi is scheduled on Thursday the 24th April at 11am UK time. Our next speaker is @ayushbharti.bsky.social (Aalto University), who will talk about "Cost-aware simulation-based inference".
April 23, 2025 at 1:26 PM
Looking forward to this!
Reposted by Ayush Bharti
Multi-Head Latent Attention vs Group Query Attention: We break down why MLA is a more expressive memory compression technique AND why naive implementations can backfire. Check it out!
⚡️Multi-Head Latent Attention is one of the key innovations that enabled @deepseek_ai's V3 and the subsequent R1 model.
⏭️ Join us as we continue our series into efficient AI inference, covering both theoretical insights and practical implementation:
🔗 datacrunch.io/blog/deepsee...
⏭️ Join us as we continue our series into efficient AI inference, covering both theoretical insights and practical implementation:
🔗 datacrunch.io/blog/deepsee...
DeepSeek + SGLang: Multi-Head Latent Attention
Multi-Head Latent Attention (MLA) improves upon Group Query Attention (GQA), enabling long-context reasoning models and wider adoption across open-source LLMs.
datacrunch.io
March 12, 2025 at 7:01 PM
Multi-Head Latent Attention vs Group Query Attention: We break down why MLA is a more expressive memory compression technique AND why naive implementations can backfire. Check it out!
Looking forward to speaking at the @approxbayesseminar.bsky.social!
My collaborator @ayushbharti.bsky.social 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.
Full details of the seminar series: warwick.ac.uk/fac/sci/stat...
arXiv paper: arxiv.org/abs/2410.07930
Full details of the seminar series: warwick.ac.uk/fac/sci/stat...
arXiv paper: arxiv.org/abs/2410.07930
One World ABI Seminar
warwick.ac.uk
February 14, 2025 at 1:13 PM
Looking forward to speaking at the @approxbayesseminar.bsky.social!
Reposted by Ayush Bharti
Our next talk will be on Thursday the 27th February at 11am UK time. Our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference". To receive the link, sign up here: listserv.csv.warwick...
February 14, 2025 at 10:41 AM
Our next talk will be on Thursday the 27th February at 11am UK time. Our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference". To receive the link, sign up here: listserv.csv.warwick...
Reposted by Ayush Bharti
If you are interested in doing a #PhD with me at Imperial College London and qualify as a home student, please reach out (before end of 2024)! Potential topics: spatial statistics, applied deep generative models, probabilistic programming and more.
December 19, 2024 at 2:21 PM
If you are interested in doing a #PhD with me at Imperial College London and qualify as a home student, please reach out (before end of 2024)! Potential topics: spatial statistics, applied deep generative models, probabilistic programming and more.
Reposted by Ayush Bharti
Optimizing decision utility in Bayesian experimental design is key to improving downstream decision-making.
Excited to share our #NeurIPS2024 paper on Amortized Decision-Aware Bayesian Experimental Design: arxiv.org/abs/2411.02064
@lacerbi.bsky.social @samikaski.bsky.social
Details below.
Excited to share our #NeurIPS2024 paper on Amortized Decision-Aware Bayesian Experimental Design: arxiv.org/abs/2411.02064
@lacerbi.bsky.social @samikaski.bsky.social
Details below.
December 5, 2024 at 12:19 PM
Optimizing decision utility in Bayesian experimental design is key to improving downstream decision-making.
Excited to share our #NeurIPS2024 paper on Amortized Decision-Aware Bayesian Experimental Design: arxiv.org/abs/2411.02064
@lacerbi.bsky.social @samikaski.bsky.social
Details below.
Excited to share our #NeurIPS2024 paper on Amortized Decision-Aware Bayesian Experimental Design: arxiv.org/abs/2411.02064
@lacerbi.bsky.social @samikaski.bsky.social
Details below.
Reposted by Ayush Bharti
@huangdaolang.bsky.social just joined here and you should follow him if you are interested in probabilistic machine learning, (Bayesian) exp. design and AI-assisted decision making. Not to mention that he has *several* NeurIPS papers already while in his 3rd PhD year...
November 27, 2024 at 3:30 PM
@huangdaolang.bsky.social just joined here and you should follow him if you are interested in probabilistic machine learning, (Bayesian) exp. design and AI-assisted decision making. Not to mention that he has *several* NeurIPS papers already while in his 3rd PhD year...