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Showing papers from Caltech Show all papers

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Coarse-to-Fine 3D MRI Reconstruction via Resolution-Agnostic Neural Operators

Jiayun (Peter) Wang, Ruibo Wang, Valentin Duruisseaux, Ram Daftari and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Mechanistic Interpretability with Sparse Autoencoder Neural Operators

Bahareh Tolooshams, Ailsa Shen, Animashree Anandkumar

Sydney Poster Session 4, Wed, Dec 9, 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
57%Worth a look
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CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting

Madison Van Horn, Suzanne Stathatos, Sevan Brodjian, Justin Kay and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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We Need to Improve Benchmarks in AI for Mathematics

Simon Frieder, Jonas Bayer, Shi Zhuo Looi, Jacob Loader and 14 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Finite-Sample Convergence in Networked Average Reward MARL: Decentralization Pitfalls and Entropy Remedies

Yizhou Zhang, Yashaswini Murthy, Laixi Shi, Adam Wierman

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
86%Must read
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GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning

GeoWind2Plan predicts mission-time 3D urban wind via neural operators to enable energy-efficient UAV planning in seconds, reducing energy by up to 12.7% versus wind-agnostic paths.

Shaoxiang Qin, Xiongye Xiao, Yucheng Zhao, Fuyuan Lyu and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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
88%Must read
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Training Generalizable Collaborative Agents via Strategic Risk Aversion

Strategic risk aversion acts as an inductive bias for generalizable collaboration, yielding robust multi-agent policies with reduced free-riding and stronger equilibrium outcomes alongside unseen partners.

Chengrui Qu, Yizhou Zhang, Nicolas Lanzetti, Eric Mazumdar

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
76%Highly rated
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Learning to Recommend in Unknown Games

Quantal-response feedback yields logarithmic sample-complexity utility learning up to affine equivalence, while best-response feedback permits only partial identification; an online algorithm achieves low deviation-regret under both models.

Arwa Alanqary, Zakaria Baba, Manxi Wu, Alexandre Bayen

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

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 3/5
83%Must read
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Strategic Decision Focused Learning

Strategic decision-focused learning predicts exogenous states for multi-agent games where better accuracy can reduce equilibrium payoffs, requiring strategic-aware predictors.

Tinashe Handina, Yuehan Diao, Adam Wierman, Eric Mazumdar

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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 5/5
medium 7/10
strict 1/5