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Showing papers from Unimelb & MBZUAI Show all papers

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NeurIPS 2026The University of MelbournePekingUnimelb & MBZUAILLM reasoning & chain of thought

Contractive Restoring Flows: Robust Reasoning Distillation via Orbital Stability

Dongqi Zuo, Yuanyuan Wang, Chuan Zhou, Haoxuan Li and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of AdelaideThe University of MelbourneThe Hong Kong University of SciePekingUnimelb & MBZUAICausal inference

Bayesian Causal Experimental Design for CATE Estimation under Noncompliance

Erdun Gao, Yuanyuan Wang, Liang Zhang, Yuhang Liu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Sydney AI Centre, University of U Sydney, University of SydneyU SydneyUnimelb & MBZUAIMohamed bin Zayed University of Activation steering

Scalable Minimal-Change Learning for Controllable Image Editing

Shuo Chen, Fengming Huang, Yu Yao, Mingming Gong and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026The University of SydneyUnimelb & MBZUAICity University of Hong KongMohamed bin Zayed University of Adversarial robustness

My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization

Yuxin Huang, Mingming Gong, Wanyu Wang, Jing Zhang and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
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83%Must read
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NeurIPS 2026The University of MelbourneU MelbournePekingUnimelb & MBZUAICMU & MBZUAITime series foundation models

Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts

Environment-induced diffusion shifts identify latent SDE coordinates and drift-Jacobian causal graphs up to permutation and scaling without sparsity assumptions.

Yuanyuan Wang, Wenjie Wang, Haoxuan Li, Mingming Gong and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 4/5