Yuga Hikida
@yugahikida.bsky.social
Doctoral researcher at Aalto University
Simulation-based Inference
yugahikida.github.io
Simulation-based Inference
yugahikida.github.io
Reposted by Yuga Hikida
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 Yuga Hikida
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-....
Reposted by Yuga Hikida
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
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
May 6, 2025 at 8:33 AM
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
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
I found an interesting app 👀
May 5, 2025 at 4:59 PM
I found an interesting app 👀
Reposted by Yuga Hikida
"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
April 21, 2025 at 6:26 PM
Reposted by Yuga Hikida
there's a lot of insight and interesting discussion in the review paper "Simulation-based Bayesian inference under model
misspecification"
arxiv.org/abs/2503.123...
misspecification"
arxiv.org/abs/2503.123...
March 25, 2025 at 3:02 PM
there's a lot of insight and interesting discussion in the review paper "Simulation-based Bayesian inference under model
misspecification"
arxiv.org/abs/2503.123...
misspecification"
arxiv.org/abs/2503.123...
My research aims to build a “pressure cooker” for Simulation-Based Inference—maintaining the same computational cost while producing superior results. And yet, in my kitchen, I patiently slow-cook oxtail for three hours in a conventional pot.
March 19, 2025 at 6:25 PM
My research aims to build a “pressure cooker” for Simulation-Based Inference—maintaining the same computational cost while producing superior results. And yet, in my kitchen, I patiently slow-cook oxtail for three hours in a conventional pot.
Reposted by Yuga Hikida
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 Yuga Hikida
🙏 Please help us improve the SBI toolbox! 🙏
In preparation for the upcoming SBI Hackathon, we’re running a user study to learn what you like, what we can improve, and how we can grow.
👉 Please share your thoughts here: forms.gle/foHK7myV2oaK...
Your input will make a big difference—thank you! 🙌
In preparation for the upcoming SBI Hackathon, we’re running a user study to learn what you like, what we can improve, and how we can grow.
👉 Please share your thoughts here: forms.gle/foHK7myV2oaK...
Your input will make a big difference—thank you! 🙌
January 28, 2025 at 3:18 PM
🙏 Please help us improve the SBI toolbox! 🙏
In preparation for the upcoming SBI Hackathon, we’re running a user study to learn what you like, what we can improve, and how we can grow.
👉 Please share your thoughts here: forms.gle/foHK7myV2oaK...
Your input will make a big difference—thank you! 🙌
In preparation for the upcoming SBI Hackathon, we’re running a user study to learn what you like, what we can improve, and how we can grow.
👉 Please share your thoughts here: forms.gle/foHK7myV2oaK...
Your input will make a big difference—thank you! 🙌
Reposted by Yuga Hikida
Bluesky🦋のアカウントを作りました！アカウントをお持ちの方はぜひフォローお願いします！
今後はBlueskyでも #JapanR について発信していきます。
どうぞよろしくお願いします！
@japanr.bsky.social
We've created a Bluesky account! Follow us!
We're posting Japan.R info here too.
#RStatsJ
今後はBlueskyでも #JapanR について発信していきます。
どうぞよろしくお願いします！
@japanr.bsky.social
We've created a Bluesky account! Follow us!
We're posting Japan.R info here too.
#RStatsJ
December 29, 2024 at 9:02 AM
Bluesky🦋のアカウントを作りました！アカウントをお持ちの方はぜひフォローお願いします！
今後はBlueskyでも #JapanR について発信していきます。
どうぞよろしくお願いします！
@japanr.bsky.social
We've created a Bluesky account! Follow us!
We're posting Japan.R info here too.
#RStatsJ
今後はBlueskyでも #JapanR について発信していきます。
どうぞよろしくお願いします！
@japanr.bsky.social
We've created a Bluesky account! Follow us!
We're posting Japan.R info here too.
#RStatsJ
Reposted by Yuga Hikida
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 Yuga Hikida
Any single analysis hides an iceberg of uncertainty.
Sensitivity-aware amortized inference explores the iceberg:
⋅ Test alternative priors, likelihoods, and data perturbations
⋅ Deep ensembles flag misspecification issues
⋅ No model refits required during inference
🔗 openreview.net/forum?id=Kxt...
Sensitivity-aware amortized inference explores the iceberg:
⋅ Test alternative priors, likelihoods, and data perturbations
⋅ Deep ensembles flag misspecification issues
⋅ No model refits required during inference
🔗 openreview.net/forum?id=Kxt...
November 25, 2024 at 10:52 AM
Any single analysis hides an iceberg of uncertainty.
Sensitivity-aware amortized inference explores the iceberg:
⋅ Test alternative priors, likelihoods, and data perturbations
⋅ Deep ensembles flag misspecification issues
⋅ No model refits required during inference
🔗 openreview.net/forum?id=Kxt...
Sensitivity-aware amortized inference explores the iceberg:
⋅ Test alternative priors, likelihoods, and data perturbations
⋅ Deep ensembles flag misspecification issues
⋅ No model refits required during inference
🔗 openreview.net/forum?id=Kxt...
Reposted by Yuga Hikida
BayesFlow is a library for amortized Bayesian inference with neural networks.
⋅ Multi-backend via Keras 3: Use PyTorch, TensorFlow, or JAX.
⋅ Modern nets: Flow matching, diffusion, consistency models, normalizing flows, transformers
⋅ Built-in diagnostics and plotting
🔗 github.com/bayesflow-or...
⋅ Multi-backend via Keras 3: Use PyTorch, TensorFlow, or JAX.
⋅ Modern nets: Flow matching, diffusion, consistency models, normalizing flows, transformers
⋅ Built-in diagnostics and plotting
🔗 github.com/bayesflow-or...
November 22, 2024 at 10:31 PM
BayesFlow is a library for amortized Bayesian inference with neural networks.
⋅ Multi-backend via Keras 3: Use PyTorch, TensorFlow, or JAX.
⋅ Modern nets: Flow matching, diffusion, consistency models, normalizing flows, transformers
⋅ Built-in diagnostics and plotting
🔗 github.com/bayesflow-or...
⋅ Multi-backend via Keras 3: Use PyTorch, TensorFlow, or JAX.
⋅ Modern nets: Flow matching, diffusion, consistency models, normalizing flows, transformers
⋅ Built-in diagnostics and plotting
🔗 github.com/bayesflow-or...
Reposted by Yuga Hikida
To celebrate the new beginnings on Bluesky, let's reminisce about one of our highlights from the old days:
The unexpected shout-out by @fchollet.bsky.social that made everyone go crazy on the BayesFlow Slack server and led to a 15% increase in GitHub stars.
The unexpected shout-out by @fchollet.bsky.social that made everyone go crazy on the BayesFlow Slack server and led to a 15% increase in GitHub stars.
November 22, 2024 at 10:37 PM
To celebrate the new beginnings on Bluesky, let's reminisce about one of our highlights from the old days:
The unexpected shout-out by @fchollet.bsky.social that made everyone go crazy on the BayesFlow Slack server and led to a 15% increase in GitHub stars.
The unexpected shout-out by @fchollet.bsky.social that made everyone go crazy on the BayesFlow Slack server and led to a 15% increase in GitHub stars.
Reposted by Yuga Hikida
The ✨ML Internship Feed✨ is here!
@serge.belongie.com and I created this feed to compile internship opportunities in AI, ML, CV, NLP, and related areas.
The feed is rule-based. Please help us improve the rules by sharing feedback 🧡
🔗 Link to the feed: bsky.app/profile/did:...
@serge.belongie.com and I created this feed to compile internship opportunities in AI, ML, CV, NLP, and related areas.
The feed is rule-based. Please help us improve the rules by sharing feedback 🧡
🔗 Link to the feed: bsky.app/profile/did:...
November 22, 2024 at 9:46 PM
The ✨ML Internship Feed✨ is here!
@serge.belongie.com and I created this feed to compile internship opportunities in AI, ML, CV, NLP, and related areas.
The feed is rule-based. Please help us improve the rules by sharing feedback 🧡
🔗 Link to the feed: bsky.app/profile/did:...
@serge.belongie.com and I created this feed to compile internship opportunities in AI, ML, CV, NLP, and related areas.
The feed is rule-based. Please help us improve the rules by sharing feedback 🧡
🔗 Link to the feed: bsky.app/profile/did:...
Reposted by Yuga Hikida
The beta version of BayesFlow 2.0 is becoming more powerful and stable by the day. If you are curious about Amortized Bayesian Inference, give BayesFlow a try!
github.com/bayesflow-or...
github.com/bayesflow-or...
GitHub - bayesflow-org/bayesflow at dev
A Python library for amortized Bayesian workflows using generative neural networks. - GitHub - bayesflow-org/bayesflow at dev
github.com
November 22, 2024 at 8:52 AM
The beta version of BayesFlow 2.0 is becoming more powerful and stable by the day. If you are curious about Amortized Bayesian Inference, give BayesFlow a try!
github.com/bayesflow-or...
github.com/bayesflow-or...
Reposted by Yuga Hikida
exciting new seminar series on "Post-Bayes" organised by Jeremias Knoblauch (he is not in Bluesky yet)
📢 Post-Bayesian online seminar series coming!📢
To stay posted, sign up at
tinyurl.com/postBayes
We'll discuss cutting-edge methods for posteriors that no longer rely on Bayes Theorem.
(e.g., PAC-Bayes, generalised Bayes, Martingale posteriors, ...)
Pls circulate widely!
To stay posted, sign up at
tinyurl.com/postBayes
We'll discuss cutting-edge methods for posteriors that no longer rely on Bayes Theorem.
(e.g., PAC-Bayes, generalised Bayes, Martingale posteriors, ...)
Pls circulate widely!
Mailing list contact information
Information to be added to the post-Bayes mailing list.
tinyurl.com
November 21, 2024 at 6:54 AM
exciting new seminar series on "Post-Bayes" organised by Jeremias Knoblauch (he is not in Bluesky yet)
does bluesky support starter pack of starter packs
November 19, 2024 at 9:05 AM
does bluesky support starter pack of starter packs
Reposted by Yuga Hikida
Want to add a Bluesky icon to your #Quarto site? 🦋
• Install quarto-iconify: github.com/mcanouil/qua...
• Add as 'text'
- text: "{{< iconify simple-icons bluesky >}}"
href: bsky.app/profile/ivel...
Example code: github.com/ivelasq/pipe...
Related GH link: github.com/quarto-dev/q...
• Install quarto-iconify: github.com/mcanouil/qua...
• Add as 'text'
- text: "{{< iconify simple-icons bluesky >}}"
href: bsky.app/profile/ivel...
Example code: github.com/ivelasq/pipe...
Related GH link: github.com/quarto-dev/q...
November 1, 2024 at 11:16 PM
Want to add a Bluesky icon to your #Quarto site? 🦋
• Install quarto-iconify: github.com/mcanouil/qua...
• Add as 'text'
- text: "{{< iconify simple-icons bluesky >}}"
href: bsky.app/profile/ivel...
Example code: github.com/ivelasq/pipe...
Related GH link: github.com/quarto-dev/q...
• Install quarto-iconify: github.com/mcanouil/qua...
• Add as 'text'
- text: "{{< iconify simple-icons bluesky >}}"
href: bsky.app/profile/ivel...
Example code: github.com/ivelasq/pipe...
Related GH link: github.com/quarto-dev/q...