Danru Xu

17 posts

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Danru Xu

Danru Xu

@Danrunnnn

PhD student in multimodal causal representation learning @INDE_LAB_AMS @UvA_Amsterdam

Amsterdam, The Netherlands Katılım Şubat 2022
121 Takip Edilen106 Takipçiler
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Jiaqi Zhang
Jiaqi Zhang@JiaqiZhangVic·
📢 Excited to announce the #ICML2025 workshop on *Scaling Up Intervention Models (SIM)*! Let’s bring together state-of-the-art ideas on modeling novel interventions and distribution shifts. :) 🙌🏻 Submissions are welcome! Link: sites.google.com/view/sim-icml2…
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Núria Armengol
Núria Armengol@NriaArmengol2·
Tired of causally confused agents when learning from offline datasets? We propose 🚣🏼‍♀️CAIAC🚣🏼‍♀️, a method for counterfactual data augmentation to improve the robustness of offline learning agents against extreme distributional shifts at test time. 🧵
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Danru Xu
Danru Xu@Danrunnnn·
☀️ ICML2024 ☀️ Tuesday 11:30-13:00 #2201 ❓Do you want to identify high-level causal variables from perceptual data under partial observable setup? 💡Here we focus on learning from unpaired observations from a dataset with an instance-dependent partial observability pattern.
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Danru Xu@Danrunnnn·
3️⃣Finally, we propose two methods that implement these theoretical results and validate their effectiveness with experiments on simulated data and image benchmarks.
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Danru Xu@Danrunnnn·
2️⃣We introduce two theoretical results for identifying causal variables up to permutation and element-wise transformation under partial observability. Both results leverage a sparsity constraint.
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Danru Xu
Danru Xu@Danrunnnn·
1️⃣ We formalize the Unpaired Partial Observations setting for causal representation learning, where each partial observation captures only a subset of causal variables.
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ELLIS Amsterdam
ELLIS Amsterdam@Ellis_Amsterdam·
We are excited to announce the newly created seminar series: 🚀Amsterdam Causality Meeting 🚀 📅 Monday October 9th, 15:00-18:00 📍 UvA Science Park room D1.114 🔗 amscausality.github.io Register for the Google Group here: amscausality@googlegroups.com
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