SHIMIZU Shohei
@sshimizu2006.bsky.social
SANKEN, The University of Osaka | 大阪大学 産業科学研究所 https://www.shimizulab.org/ss
From Prediction to Understanding: Causal Discovery for Data Science and AI Applications EcoSta2026 speakerdeck.com/sshimizu2006... #speakerdeck
From Prediction to Understanding: Causal Discovery for Data Science and AI Applications
EcoSta2026
speakerdeck.com
Demographic influences on investment: A causal discovery study in Japan Yi Jiang, Shohei Shimizu, Michio Yamamoto, Array, 2026 doi.org/10.1016/j.ar...
Redirecting
doi.org
Submissions are welcome! We look forward to your contributions on causal inference and causal discovery.
SHIMIZU Shohei@sshimizu2006.bsky.social · 8mo ago[CFP] Recent Advances in Causal Inference, Causal Discovery, and Applications Coordinating Editors: Shohei Shimizu Manabu Kuroki Aapo Hyvärinen Submission Due Date: February 1, 2027 Intended Publication Date: September 1, 2027 link.springer.com/journal/4208...
Causal Discovery of Synchronous Neural Oscillations based on Jacobian-informed VAR-LiNGAM Hiroshi Yokoyama, Ryosuke Takeuchi, Shohei Shimizu bioRxiv 2026.04.28.721377; doi: doi.org/10.64898/202...
11 more days to apply to these positions! Come join us in Amsterdam to work on #causality #XAI and #AI #safety
Sara Magliacane hiring PhDs at UvA@smaglia.bsky.social · 5mo ago🚨2 PhD positions with me @amlab.bsky.social on learning causally grounded concepts 🚨 Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲 Deadline: 20 April www.academictransfer.com/en/jobs/3593...
Statistical Causal Discovery in Developing Adverse Outcome Pathway (AOP) Kyoshiro Hiki , Thong Pham , Michio Yamamoto , Takehiko I Hayashi , Shohei Shimizu Environmental Toxicology and Chemistry, 2026 doi.org/10.1093/etoj...
Statistical Causal Discovery in Developing Adverse Outcome Pathway (AOP)
Abstract. Statistical causal discovery (SCD) has the potential to advance the development and evaluation of Adverse Outcome Pathways (AOPs) by inferring ca
academic.oup.com
Submissions are now open for UAI 2026 in Amsterdam. Deadline is February 25th, 2026 (23:59 AoE). Call for papers here: www.auai.org/uai2026/call...
Uncertainty in Artificial Intelligence
auai.org
Best conference with the best people and in the best place 😎 😜 Also the submission deadline is conveniently one month later than #ICML2026, just in case you needed it 😅
uai2026@auai.org · 6mo agoSubmissions are now open for UAI 2026 in Amsterdam. Deadline is February 25th, 2026 (23:59 AoE). Call for papers here: www.auai.org/uai2026/call...
Differentiable Causal Discovery of Linear Non-Gaussian Acyclic Models Under Unmeasured Confounding Yoshimitsu Morinishi, Shohei Shimizu Action editor: Sergey Plis https://openreview.net/forum?id=HR7MFlW73I #causal #models #generalized
What’s going on behind the scenes of #UAI2026? 👀 Meet the wonderful people working hard for this year’s edition ❤️ 👉 www.auai.org/uai2026/orga...
Financial literacy may not directly drive investment participation or retirement planning in Japan Yi Jiang and Shohei Shimizu Frontiers in Behavioral Economics, 2025 www.frontiersin.org/journals/beh...
Frontiers | Financial literacy may not directly drive investment participation or retirement planning in Japan
IntroductionJapan's rapidly aging society and pension-related deficits highlight the importance of household financial asset formation. Despite policies such...
frontiersin.org
「科学技術・イノベーション政策の立案・評価への統計的因果探索の応用」 高山正行・清水昌平 研究 技術 計画 (特集 科学技術・イノベーション政策科学の学際的アプローチ：より良いアジェンダ・セッティングのために), 2025 doi.org/10.20801/jsr...
科学技術・イノベーション政策の立案・評価への統計的因果探索の応用
本稿では，エビデンスに基づく政策立案（EBPM）の強化が求められる中で，従来の因果の有無や効果の大きさを議論する統計的因果推論に加えて，因果構造そのものを探索する統計的因果探索が政策評価において果たし得る役割について論じる。特に科学技術・イノベーション（STI）政策分野における応用可能性を見据え，主 …
doi.org
[CFP] Recent Advances in Causal Inference, Causal Discovery, and Applications Coordinating Editors: Shohei Shimizu Manabu Kuroki Aapo Hyvärinen Submission Due Date: February 1, 2027 Intended Publication Date: September 1, 2027 link.springer.com/journal/4208...
Japanese Journal of Statistics and Data Science
Japanese Journal of Statistics and Data Science is an international forum publishing original articles in statistical theories and diverse fields related to ...
link.springer.com
Ready to bike along the canals? 🚲 The 42nd Conference on Uncertainty in AI will be in Amsterdam, August 17-21! 🇳🇱 CfP is out 👉 auai.org/uai2026/call... 🚨 Feb 25: Paper submission 🗣️ Apr 23–May 2: rebuttal period 🎉💀 Jun 1: Author notification #UAI2026 #ML #stats #learning #reasoning #uncertainty #AI
Excited to be serving as Program co-Chair of UAI 2026 with Ema Perkovic! We are busy working on facilitating an excellent program. In my unbiased opinion UAI is an ideal venue at the intersection of stats & CS: good size, good science, good vibes. Please submit your work!
uai2026@auai.org · 8mo agoReady to bike along the canals? 🚲 The 42nd Conference on Uncertainty in AI will be in Amsterdam, August 17-21! 🇳🇱 CfP is out 👉 auai.org/uai2026/call... 🚨 Feb 25: Paper submission 🗣️ Apr 23–May 2: rebuttal period 🎉💀 Jun 1: Author notification #UAI2026 #ML #stats #learning #reasoning #uncertainty #AI
Proposed* official UAI2026 conference taglines: "UAI2026: gotta be crazy to be certain about AI these days" "UAI: 2 uncertain 2 AI" "I went to UAI2026 and all I got was this lousy uncertainty" Vote for your fav or propose your own! www.auai.org/uai2026/ (*by me, under consideration by no one)
Dan Malinsky@danielmalinsky.bsky.social · 8mo agoExcited to be serving as Program co-Chair of UAI 2026 with Ema Perkovic! We are busy working on facilitating an excellent program. In my unbiased opinion UAI is an ideal venue at the intersection of stats & CS: good size, good science, good vibes. Please submit your work!
A fantastic opportunity to join us in #Amsterdam for some hardcore #uncertainty in #AI 🦾🚲🌷✖️✖️✖️ #causality #tractable #probabilistic #models #neurosymbolic #imprecise #probabilities #statistical #methods and more
uai2026@auai.org · 8mo agoReady to bike along the canals? 🚲 The 42nd Conference on Uncertainty in AI will be in Amsterdam, August 17-21! 🇳🇱 CfP is out 👉 auai.org/uai2026/call... 🚨 Feb 25: Paper submission 🗣️ Apr 23–May 2: rebuttal period 🎉💀 Jun 1: Author notification #UAI2026 #ML #stats #learning #reasoning #uncertainty #AI
Released code for TS-LSNM github.com/gkikuchi/TSL... Kikuchi & Shimizu (2023) Structure Learning for Groups of Variables in Nonlinear Time-series Data with Location-scale Noise In Proc. 2023 Causal Analysis Workshop Series, PMLR
GitHub - gkikuchi/TSLSNM: A python implementation of Time-Series Location-Scale Noise Model
A python implementation of Time-Series Location-Scale Noise Model - gkikuchi/TSLSNM
github.com
I am excited to share that I am looking for a #postdoc with an interest in causal machine learning to join my lab at TU Dortmund University and RC Trust. #hiring #causality #ML #AI 📅 03.12.25 Group: rc-trust.ai/groups/causa... Details: tinyurl.com/4622p6at
Causality
rc-trust.ai
Very nice by Jun Otsuka @junotk.bsky.social and Hayato Saigo: link.springer.com/article/10.1... about causal interventions/do calculus via string diagram surgery
