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Showing papers from CMU & MBZUAI Show all papers

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NeurIPS 2026SpotlightNew YorkCarnegie MellonU Illinois at Urbana-ChampaignCMU & MBZUAIQuantization

Requential Coding: Measuring Model Compressibility by Coding Data Instead of Parameters

Shikai Qiu, Marc Finzi, Yujia Zheng, Kun Zhang and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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strict 0/5
57%Worth a look
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NeurIPS 2026CMU, Carnegie MellonCMU & MBZUAIGenomics & single-cell

Identifiable Feedback-Controlled Latent Flow for Unpaired Single-cell Spatio-Temporal Dynamics

Jianle Sun, Kun Zhang

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026Mohamed bin Zayed University of Carnegie MellonMBZUAI&CMUCMU & MBZUAIDatasets & benchmarks

MEV: A Multi-Event Video Dataset for Long-Take Generation

Peiyuan Zhu, Shaoan Xie, Yifan Shen, Wen Tian and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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86%Must read
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NeurIPS 2026Mohamed bin Zayed University of CMU & MBZUAIGenomics & single-cell

On the Recoverability of Causal Relations from Bulk Gene Expression Data

Causal gene relations are recoverable from bulk expression only under linear aggregation and affine equations, which real data rarely satisfy.

Gongxu Luo, Boyang Sun, Kun Zhang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 3/5
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