Good Papers

Showing papers from Technology Innovation Institute Show all papers

45%Niche pick
?Niche pickVote to see the score

FalconPerception-HD: High Density Perception via Reinforcement Learning

Sofian Chaybouti, YASSER ABDELAZIZ DAHOU DJILALI, Ngoc D Huynh, REDA ALAMI and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

VecUQ-OT: Aggregating Uncertainty Measures via Multivariate Ranks

Nikita Kotelevskii, Vladimir Kondratyev, Maiya Goloburda, Alexander Fishkov and 3 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

The Aleatoric-Epistemic Dichotomy of Uncertainty is Meaningful and Indispensable for Machine Learning

Yusuf Sale, Nikita Kotelevskii, Maxim Panov, Eyke Hüllermeier

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
91%Must read
?Must readVote to see the score

Uncertainty Quantification for Large Language Diffusion Models

Lightweight zero-shot uncertainty signals from LLDM denoising dynamics achieve sampling-level hallucination detection at up to 100x lower cost.

Artem Vazhentsev, Vladislav Smirnov, David Li, Maxim Panov and 2 more

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

– ReadersNo votes yet
17/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5