Good Papers

Showing papers from CSIRO Show all papers

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NeurIPS 2026ResolutionCSIRO TechnologyU MelbourneCSIROPhysics-informed ML & PDEs

Susceptibilities for Neural Networks Learning from Physical Data

Rohan Hitchcock, Gary W Delaney, Jonathan H Manton, Richard Scalzo 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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57%Worth a look
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NeurIPS 2026unswU New South WalesCSIROSegmentation

DIGS: Distribution-Informed Gaussian Splatting for Training-Free Open-Vocabulary 3D Segmentation

ZHIFAN ZENG, Wenbo Xiao, Arcot Sowmya, Changming Sun

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

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AI panel: 1 of 20 reviewers recommend it
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67%Highly rated
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NeurIPS 2026Swinburne University of TechnoloWestern SydneyU Technology SydneyCSIROFairness & bias

Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair

Ray Telikani, Jaber valizadeh, Amir H Gandomi, Bao Q Vo 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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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
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strict 1/5
88%Must read
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NeurIPS 2026U Technology SydneyU SydneyCSIROELLIS Institute of Finland and UELLIS Institute FinlandLLM reasoning & chain of thought

Diversity Combining for Multi-Path LLM Reasoning

Multi-path LLM reasoning is modeled as diversity combining, showing path correlation limits majority-vote gains and that adaptive sampling retains near-peak accuracy.

Guangsheng Yu, Litianyi Zhang, Qin Wang, Xu Wang and 4 more

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5