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Showing papers from University of California, Irvine Show all papers

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xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs

Daniele Micheletti, Federica Zoe Ricci, Erik Sudderth

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
strict 0/5
57%Worth a look
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PAI-Actor: Cinematic Multi-Actor Character Replacement in Dynamic Scenes

Heyuan Gao, Bangxun Tang, Yiren Song, Guian Fang 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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Learning Recoverable Neural Networks against Weight Corruption via Simple Zero-Sum Projection

Sanggeon Yun, Ryozo Masukawa, SungHeon Jeong, Hyunwoo Oh and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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Follow the Regularized Leader Does Not Converge in Constrained Optimization

Ioannis Anagnostides, Ioannis Panageas, Nikolas Patris, Tuomas Sandholm

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

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AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
57%Worth a look
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Online Learning with Certified Unlearning over Graphs

Ruijie Du, Yanning Shen

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
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Robust and Hard-to-Remove GNN Watermarking via Topological Invariant Perception

JIPENG LI, Yanning Shen

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
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Temporal Pair Consistency for Flow Matching

Chika Maduabuchi, Jindong Wang

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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sMMC-22M: A Context-Aware Dataset and Benchmark for Single-Cell Spatial Transcriptomics

Xi Li, Yaqi Hu, Ziheng Duan, Xinyi Wang and 4 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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TargetSage: Identifying Therapeutic Target Genes with Interpretable and Robust LLM Reasoning

Ziheng Duan, Tong Wu, Xi Li, Simon D Sun and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 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
45%Niche pick
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BACE: Behavior-Adaptive Connectivity Estimation from Multi-Region Neural Recordings

Mehrnaz Asadi, Sina Javadzadeh, Rahil Soroushmojdehi, Ali Mousavi and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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FiedlerPrune: Connectivity-Preserving Cross-Layer Pruning for Large Language Models

Zijun Sun, Yanning Shen

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 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
45%Niche pick
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PanoWorld: Towards Spatial Supersensing in 360◦ Panorama World

Changpeng Wang, Xin Lin, Junhan Liu, Yuheng Liu and 4 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
76%Highly rated
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Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning

Simulation-Informed Diffusion predicts neighboring robots' future trajectories to plan safer decentralized multi-robot motion with minimal communication, scaling to 108 robots amid 160 obstacles.

JINHAO LIANG, Sven Koenig, Ferdinando Fioretto

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
86%Must read
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OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models

OTROPE uses optimal transport in semantic space to correct off-policy LLM evaluation without likelihoods or density ratios, yielding consistent doubly robust estimators that outperform baselines.

Liner Xiang, Wenbo Zhang, Hengrui Cai

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 8/10
strict 1/5
78%Highly rated
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Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images

Vision transformers learn Gestalt-like figure-ground cues, surroundedness, convexity, and symmetry for uniform regions, from natural images, with linear probes generalizing zero-shot to artificial stimuli.

Matthias Tangemann, Benjamin Lo, Zygmunt Pizlo, Kaleem Siddiqi and 2 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 2/5
88%Must read
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TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing

TOPPO balances critic gradients to fix PPO's multi-task ill-conditioning, outperforming SAC baselines with fewer parameters and steps.

Yuanpeng Li, Rui Miao, Gefei Lin, Annie Qu

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · 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 4/5
medium 9/10
strict 2/5
80%Must read
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Subliminal Transfer of Unsafe Behaviors in AI Agent Distillation

Distillation of agent trajectories transfers unsafe behavioral biases subliminally despite keyword filtering, with deletion bias reaching 100% and chmod preference 30-55%.

Jacob Dang, Brian Y Xie, Omar G. Younis

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 2/5
86%Must read
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Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning

MARS replaces ratio-based trust regions with a multiplicatively symmetric geometric barrier to cut variance and prevent probability collapse in multi-agent policy optimization. Across 47 tasks it matches or exceeds MAPPO and MASPO, with gains from barrier geometry rather than flexible boundaries.

Chulabhaya Wijesundara, Andrea Baisero, Zhongheng Li, Gregory D Castanon and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 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 3/5
medium 8/10
strict 3/5
76%Highly rated
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RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer

RegimeVGGT removes layer-wise spatial redundancy in VGGT via U-shaped cross-frame compression, yielding 6.7x speedup with preserved geometry and pose accuracy.

Shuo Lyu, Jinhao You, Zhuohang Lyu, Tanxuan Li and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 1/5
71%Highly rated
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Drift Flow Matching

Drift Flow Matching bridges one-step drift models and iterative flow matching to enable adaptive sampling computation for flexible generation quality and efficiency.

Chenrui Ma, Xi Xiao, Lin Zhao, Tianyang Wang and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
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