Carles Balsells Rodas

[Statistics (Machine Learning) Papers @StatsPapers]

End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems

Carles Balsells-Rodas, Zhengrui Xiang, Xavier Sumba, Yingzhen Li
https://t.co/eJ9PwWgJDr [𝚜𝚝𝚊𝚝.𝙼𝙻 𝚌𝚜.𝙻𝙶]

[Mathieu @miniapeur]

As far as I know, we cannot choose the exact number of papers we review at top conferences. This means I review much less than I would actually like to. I would sincerely be happy to review two papers for each top conference (ICLR, NeurIPS, ICML, AISTATS, etc.), but being asked to review five to seven papers per conference is far too much.

[Carles Balsells Rodas @BalsellsRodas]

@liyzhen2 imagine choosing between GPs and switching dynamics😂

[Carles Balsells Rodas @BalsellsRodas]

@jacobyhsi88 congrats Jacobo!🎉

[yingzhen @liyzhen2]

we show identifiability of latent switching dynamical systems with arbitrary time lag
proof based on double induction, applications to deep generative models for finance📈 and climate🌍data
the best result re non-linear SDS from us so far😊lead by the marvellous @BalsellsRodas 👍

[Carles Balsells Rodas @BalsellsRodas]

New paper! We prove identifiability of Regime-Switching Models with arbitrary lagged dependencies.

[Statistics (Machine Learning) Papers @StatsPapers]

On the Identifiability of Regime-Switching Models with Multi-Lag Dependencies

Carles Balsells-Rodas, Toshiko Matsui, Pedro A. M. Mediano, Yixin Wang, Yingzhen Li
https://t.co/tngiUKXLzP [𝚜𝚝𝚊𝚝.𝙼𝙻 𝚌𝚜.𝙻𝙶]

[Carles Balsells Rodas @BalsellsRodas]

RT @jacobyhsi88: VUD’s gonna be at #NeurIPS2025 🎉🥳

[Jacob Si @jacobyhsi88]

Wanna understand the sources of uncertainty in LLMs when performing in-context learning 🤔?

🚀 We introduce a variational uncertainty decomposition framework for in-context learning without explicitly sampling from the latent parameter posterior.

📄 Paper: https://t.co/RQTqfF3Iiy
💻 GitHub: https://t.co/0ZPmWMcbRc

[yingzhen @liyzhen2]

#AISTATS2026 call for papers is out! We welcome solid Stats and AI/ML work from you 🤗
(2026 conference will have further exciting initiatives, watch this space 😇

[yingzhen @liyzhen2]

long overdue, but we finally have a team photo! 😊
(some of them also on this site @JzinOu @jacobyhsi88 @BalsellsRodas

[Carles Balsells Rodas @BalsellsRodas]

If you are attending ICML 2025 and interested in Causal Discovery, I will be presenting our work today at 11am! See you at the East Exibition Hall - Poster 1303. #icml #icml2025

[Carles Balsells Rodas @BalsellsRodas]

Excited to share that our paper "Causal discovery from Conditionally Stationary Time Series" has been accepted to ICML 2025!🥳
Pre-print: https://t.co/tPlw7p5Ja4
Thank you very much to all my collaborators, persistence pays off!
#icml #icml2025

[Carles Balsells Rodas @BalsellsRodas]

@liyzhen2 I think it's an excellent lesson to never give up!😆

[Carles Balsells Rodas @BalsellsRodas]

Excited to share that our paper "Causal discovery from Conditionally Stationary Time Series" has been accepted to ICML 2025!🥳
Pre-print: https://t.co/tPlw7p5Ja4
Thank you very much to all my collaborators, persistence pays off!
#icml #icml2025

[Zijing Ou @JzinOu]

Gonna present 3 papers at #ICLR2025 and #AABI, come and connect at👇
1. Oral session 1c on FIRST DAY Morning: Improving Diffusion Model with Optimal Diagonal Covariance Matching (https://t.co/YjcGro9GR1)

[Zijing Ou @JzinOu]

check our ICLR'25 oral paper if you are interested: https://t.co/EmPf8RzJLY

[Carles Balsells Rodas @BalsellsRodas]

@docmilanfar @liyzhen2

[Mingxue (Mercy) Xu @MercyXu2022]

Is there an elementary way to understand matrix/tensor factorization, and their algebraic connection with transformer models?🤔

Our answer is YES!
All you need is undergraduate-level linear algebra, and a little geometry intuition! https://t.co/BSbxJSef2l.
#geometry #tensor
1/7

[CLeaR-Conference on Causal Learning and Reasoning @Conf_CLeaR]

📢Submit by Nov 2 to CLeaR, if you are researching on Causal Discovery, Causal Inference, Intersections of Causality and Machine Learning, and many others! Check out our Call for Papers https://t.co/eyzQQsBopt

[Jacob Si @jacobyhsi88]

I enjoyed my time presenting our poster at #ICML2024! Special thanks to the people who stopped by and my collaborators once again! @wendy_yusi @coopermj_aiml @rahulgk

[Carles Balsells Rodas @BalsellsRodas]

@rahulgk Thank you for sharing!