Carles Balsells Rodas
49 posts
Announcing the #ICML2026 policy for self-ranking in reviews! 1. Authors rank their submissions 2. Reviews are submitted 3. The "Isotonic Mechanism" is run on rankings and review scores 4. Large discrepancies are flagged to ACs and SAC CC @weijie444 Read more for details 👇
Ever wondered how important the data representation is for training tabular diffusion models 🤔? 🚀 We introduce TabRep, a Simple and Effective Continuous Representation for Training Tabular Diffusion Models! 📄: arxiv.org/abs/2504.04798 💻: github.com/jacobyhsi/TabR…
On the Identifiability of Regime-Switching Models with Multi-Lag Dependencies ift.tt/MwJpYUS
On the Identifiability of Regime-Switching Models with Multi-Lag Dependencies Carles Balsells-Rodas, Toshiko Matsui, Pedro A. M. Mediano, Yixin Wang, Yingzhen Li arxiv.org/abs/2601.03325 [𝚜𝚝𝚊𝚝.𝙼𝙻 𝚌𝚜.𝙻𝙶]
We show how to make LLM in-context learning approximately Bayesian & decompose uncertainty IMO this is proper approximate inference 🥰 applied to LLMs Led by awesome students @shavindra_j @jacobyhsi88 Filippo & Wenlong 👍 Example👇by prompting, bandits & NLP examples in paper
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. @aistats_conf [1/3]
Excited to share that our paper "Causal discovery from Conditionally Stationary Time Series" has been accepted to ICML 2025!🥳 Pre-print: arxiv.org/abs/2110.06257 Thank you very much to all my collaborators, persistence pays off! #icml #icml2025
Excited to share that our paper "Causal discovery from Conditionally Stationary Time Series" has been accepted to ICML 2025!🥳 Pre-print: arxiv.org/abs/2110.06257 Thank you very much to all my collaborators, persistence pays off! #icml #icml2025
The next seminar is this Friday (April 4th) and starts at 12pm midday UK time! @JzinOu from @imperialcollege is going to talk about “Diffusion models beyond mean prediction”! ucl.zoom.us/j/99748820264 This seminar is hybrid. More info 👉ucl-ellis.github.io/jt_csml_semina…
We are thrilled to announce the 4th Conference on Causal Learning and Reasoning (CLeaR), taking place in Lausanne, Switzerland, from May 7-9, 2025! Submission deadline: Nov 2, 2024, 11:59 PM AoE. For details, visit cclear.cc/2025/CallforPa… 😀😎
[ICML 2024 (Spotlight)] How can we distill predictive signals from tabular data to obtain intelligible insights 🤔? We introduce InterpreTabNet, a variant of the TabNet model that leverages salient feature interpretation. 📄: arxiv.org/abs/2406.00426 💻: github.com/jacobyhsi/Inte…
🎉Happy to share that our paper “On the Identifiability of Switching Dynamical Systems” has been accepted to ICML! Preprint: arxiv.org/abs/2305.15925 @yixinwang_ @liyzhen2
