NeurIPS 2026 orals

Computer Use at the Edge of the Statistical Precipice

A 1MB replay script outperforms frontier agents on static benchmarks because of flawed environment design and evaluation; the paper proposes PRISM principles, DigiWorld, and hierarchical bootstrap aggregation to fix both.

Pierluca D Oro, Sneha Silwal, William R Wong, Yuxuan Sun and 5 more

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

Déjà View: Looping Transformers for Multi-View 3D Reconstruction

DéjàView loops a single transformer block for iterative multi-view 3D reconstruction, matching larger feed-forward models with far fewer parameters while treating refinement steps as an inference-time compute knob.

Alessandro Burzio, Tobias Fischer, Sven Elflein, Qunjie Zhou and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face

MOVEBENCH: A Benchmark for Global-Scale Wildlife Movement Forecasting

MoveBench introduces a 2.6M-location wildlife movement forecasting benchmark across 110 species and finds existing methods generalize poorly to unseen individuals and deep learning does not consistently beat simpler baselines.

Justin Kay, Shir Bar, Ellen O Aikens, Martin Becker and 27 more

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

The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play

Anchored Bipolicy Self-Play uses frozen-base LoRA adapters to separate attacker and defender roles, preventing self-consistency collapse and improving safety with 100x greater parameter efficiency.

Gabriele La Malfa, Emanuele La Malfa, Saar Cohen, Jie Zhang and 3 more

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

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

MLS-Bench evaluates AI agents on inventing scalable ML methods across 140 tasks, finding current systems fail to reliably surpass human-designed approaches due to insufficient scientific validation insight.

Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang and 24 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 120

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

LITMUS benchmarks LLM agent behavioral jailbreaks in real OS environments, revealing agents execute 40.64% of high-risk operations despite refusals and suffer pervasive execution hallucination.

Chiyu Zhang, Huiqin Yang, Bendong Jiang, Xiaolei Zhang and 7 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

SALART-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images

SalArt-VQA evaluates VLM artifact understanding via fine-grained questions, revealing high detection recall but only 53% fully correct reasoning and a sensitivity-calibration tradeoff.

Xiaoxiao Sun, Ruotian Zhang, Junzhe Huang, James Burgess and 1 more

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

Quantized Reasoning Models Think They Need to Think Longer, but They Do Not

Post-training quantization of reasoning models increases chain-of-thought length and overthinking errors without improving accuracy, yet penalizing overthinking markers reduces reasoning cost and fixes failures.

Sanae Lotfi, Polina Kirichenko, Steven Li, Zechun Liu

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

Behavioral Geometric Supervision Aligns Video Foundation Models with Human Social Perception

Behavioral geometric supervision aligns video foundation models with human social perception by matching embedding geometry to human similarity judgments, nearly tripling V-JEPA 2.1 performance past language baselines and developing interpretable social attributes with zero-shot transfer.

Kathy Garcia, Leyla Isik

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

Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors

Fine-tuned LLMs learn to selectively hide internal representations from unseen activation monitors via low-dimensional subspace manipulation, evading even post-hoc safety probes with modest capability loss.

Max McGuinness, Alex Serrano Terre, Luke Bailey, Scott Emmons

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation

C3P uses contrastive promoter-protein pretraining to learn bacterial promoter representations that outperform genome language models on regulatory inference and zero-shot co-regulated gene retrieval.

Cameron Dufault, Scott Xu, Alan Moses

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

Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning

Structural pruning of SO(3) equivariant atomistic models reduces inference cost while outperforming small from-scratch models on accuracy and compute.

Chen Wang, Siyu Hu, Guangming Tan, Weile Jia

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

Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models

An inference pipeline using off-the-shelf models and conjecture extraction with context detachment achieves state-of-the-art IMO-style math performance at much lower cost by escaping the Cognitive Well.

Xingyu Dang, Rohit Agarwal, Rodrigo Porto, Anirudh Goyal and 2 more

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

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding

MindAlign aligns EEG, vision, and language via tri-modal contrastive learning to achieve 54.1% zero-shot visual decoding accuracy on Things-EEG2.

Zexuan Chen, Sichao Liu, Runhao Lu, Huichao Qi and 3 more

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

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing

P-Bench reveals LLM agents make subtle inferential errors in hypothesis testing, and Fisher-R1 improves reliability via reinforcement learning to outperform GPT-5.4 and DeepSeek-V4-Pro.

Jiacheng Miao, Jin Mu, Guanhua Chen, James Zou

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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

Bridging Compute- and Data-Optimal Pretraining

A unified compute-data scaling framework introduces token effectiveness to bridge data-rich and fixed-corpus regimes, showing diminishing returns and three operational regimes that render classical compute-optimal allocations suboptimal.

Tian Qin, Kimia Hamidieh, David Alvarez-Melis

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

Language-Conditioned World Modeling for Visual Navigation

LCVN introduces a language-conditioned navigation benchmark and compares diffusion-based latent imagination against unified autoregressive prediction for embodied agents. Latent imagination yields more temporally coherent rollouts, while unified prediction generalizes better to unseen environments.

Yifei Dong, Fengyi Wu, Yilong Dai, Lingdong Kong and 7 more

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

PhaseLoRA: Control-Regime-Conditioned Low-Rank Adaptation for Continuous-Action Vision-Language-Action Policies

PhaseLoRA conditions LoRA updates on control-regime descriptors at each step, improving continuous-action VLA success by 12.2 points over high-rank baselines.

Yufei Guo, Yinan Wu, Haoran Duan, guiguang ding and 1 more

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

ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling

ExComm detects cross-agent factual conflicts during exploration to correct errors via soft belief updates and trajectory diversification, improving test-time scaling by up to 5.7%.

Woomin Song, Beomjun Kim, Daewon Choi, Sai Muralidhar Jayanthi and 3 more

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

Emergence of Physical Intelligence via Controllable Information Production

Controllable Information Production grounds intrinsic motivation in dynamics and control, unifying them to measure controllable information production and outperforming prior methods on robot tasks.

Tristan Shah, Stas Tiomkin

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

Resilience Matters for Embodied Agents System: New Metrics, Systematic Evaluation, and Optimization

Resilience metrics for embodied agents expose hidden recovery and stability differences beyond success rates, guiding deployment-specific optimization.

Yapeng Liu, Yuanzhao Zhai, Xudong Gong, Feng Dawei and 3 more

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

DD-Ranking: Rethinking the Evaluation of Dataset Distillation

DD-Ranking reveals dataset distillation gains come from extra evaluation techniques rather than image quality, proposing fair metrics to assess true synthetic dataset value.

Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang and 36 more

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

Query Lower Bounds for Diffusion Sampling

Diffusion sampling requires $\tilde\Omega(\sqrt{d})$ adaptive score queries for $d$-dimensional distributions with polynomial accuracy, proving multiscale schedules are necessary.

Zhiyang Xun, Eric Price

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

GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning

GeoSym Engine automates symbolically-verifiable geometric reasoning data synthesis, and models trained on GeoSym127K achieve large gains on diagram-dependent geometry benchmarks.

Jinhao Jing, Zheng Ma, Jinwei Liang, Qiannian Zhao and 8 more

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

Colored Noise Diffusion Sampling

Colored Noise Sampling replaces uniform noise with dynamic frequency-dependent schedules to exploit diffusion spectral bias, substantially reducing FID across architectures as a training-free plug-in.

Hadar Davidson, Noam Issachar, Sagie Benaim

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 19 on Hugging Face · Code ★ 45

The Stability of Online Algorithms in Performative Prediction

No-regret online algorithms unconditionally converge to mixed performatively stable equilibria via randomized martingale arguments, avoiding distribution-response assumptions and PPAD hardness.

Gabriele Farina, Juan C Perdomo

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

Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization

Unifying GCRL and MISL as control maximization reveals formulation-specific bounds linking diverse pretraining skills to downstream goal sensitivity.

Alireza Modirshanechi, Benjamin Eysenbach, Peter Dayan, Eric Schulz

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning

Biometric identity provisioning allocates virtual face identities as non-colliding gaps within the real identity manifold, scaling to ten million embeddings and one million photorealistic images via gap-aware generation.

Yuyang Ji, Yixuan Shen, Anil Jain, Xiaoming Liu and 1 more

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

Exact Gaussian Moment Matching for Residual Networks: a Second-Order Method

Exact Gaussian moment matching propagates mean and covariance through residual networks with exact nonlinear layer formulas, cutting KL divergence errors by orders of magnitude versus approximate methods.

Simon Kuang, Xinfan Lin

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

SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild

SAM 3D Animal is a promptable framework using the SMAL+ model and Herd3D dataset to reconstruct multiple 3D animals from single images with keypoint and mask prompts, achieving state-of-the-art results.

Xuyi Hu, Jin Lyu, Jiuming Liu, Yebin Liu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 13

Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning

Graph Cascades uses contagion diffusion to build auxiliary edges in linear time, boosting GNN and graph transformer accuracy on heterophilic and high-degree graphs while failing on regular low-degree graphs.

Meher Chaitanya Pindiprolu, My Le, Luana Ruiz

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

LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model

LatentUM unifies modalities in a shared latent space to enable efficient interleaved cross-modal reasoning and generation, achieving state-of-the-art visual planning and self-reflective generation results.

Jiachun Jin, Zetong Zhou, Xiao Yang, Hao Zhang and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 29 on Hugging Face · Code ★ 63

A multi-scale information geometry reveals the structure of mutual information in neural populations

A multi-scale Riemannian geometry extending Fisher information relates metric structure to mutual information and reveals visual cortex encoding features.

Simone Azeglio, Steeve Laquitaine, Ulisse Ferrari, Matthew Chalk

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

ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control

ParetoSlider trains one diffusion model with continuous preference weights to approximate the full Pareto front, enabling inference-time navigation of trade-offs between conflicting generative goals without retraining.

Shelly Golan, Michael Finkelson, Ariel Bereslavsky, Yotam Nitzan and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 15 on Hugging Face

Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects

Distribution-free predictive inference for individual treatment effects with continuous covariates requires trivial infinite-length prediction sets.

Chongguang Tao, Zheng Zhou, Yuhong Yang

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

CLIOPATRA: Extracting Private Information from LLM Insights

CLIOPATRA attacks privacy-preserving LLM insight platforms with malicious chats to leak target medical histories with nearly 100% precision in 65% of cases, showing layered heuristic protections are insufficient.

Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Peter Kairouz

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

SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators

SyncWorld learns action-visual mappings via visual calibration episodes to serve as zero-shot simulators across unseen robot settings without retraining.

Yuncong Yang, Zhengtao Han, Furkan Ozyurt, Zeyuan Yang and 5 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 16 on Hugging Face · Code ★ 21

BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics

BrainWorld uses anatomical MRI to condition whole-brain 4D fMRI generation, producing stable long-horizon trajectories and improving downstream performance via augmentation and transferable representations.

Junfeng Xia, Wenhao Ye, Junxiang Zhang, Xuanye Pan and 2 more

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

TransmissiveGS: Residual-Guided Disentangled Gaussian Splatting for Transmissive Scene Reconstruction and Rendering

TransmissiveGS disentangles reflective and transmissive components via dual Gaussian representations and residual-guided multi-view separation for transmissive scene reconstruction.

Zhenyu Liang, Xiao Zhang, Tianchao Li, Jack C Cheng and 1 more

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

Uniform-in-Time Weak Propagation of Chaos in Shallow Neural Networks

Shallow neural networks trained via gradient descent exhibit uniform-in-time weak propagation of chaos, yielding poly(d/ε) neuron and sample complexity when mean-field loss decays faster than t^{-2}.

Margalit Glasgow, Joan Bruna

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

Prediction Under Imperfect Compression: A Theory of Approximate MDL

Approximate balanced MDL with additive slack yields finite cumulative squared error for regularization weight lambda at least 1, but multiplicative approximation and lambda under 1 cause failure, establishing additive approximation is essential.

Qian Li, Xinyu Mao, Shang-Hua Teng, Guangxu Yang

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

CIG: Exploration via Conditional Information Gain

CIG derives a tractable trajectory-level information-gain reward via ensemble disagreement that conditions on replay buffers and rollout prefixes, outperforming prior methods across discrete and continuous exploration tasks.

Tim Joseph, Marcus Fechner, Philipp Stegmaier, Karam Daaboul and 1 more

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

LittleLearner: Language Models Under Pedagogically-Controlled Knowledge Exposure

LittleLearner is a 5B-parameter model trained on grade-capped elementary data to study controlled knowledge acquisition and bounded capability growth.

Fanfei Li, Jana Zeller, Manuel Prada-Corral, Thaddäus Wiedemer and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face

Learning Reveals Invisible Structure in Low-Rank RNNs

Deriving reduced ODEs for low-rank RNN learning reveals loss-invisible overlaps that encode training history and expose hidden connectivity differences.

Yoav Ger, Omri Barak

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

DD-CAM: Minimal Sufficient Explanations for Vision Models Using Delta Debugging

DD-CAM uses delta debugging to find minimal sufficient vision-model units, yielding more faithful, accurate saliency maps than CAM methods.

Krishna Khadka, Yu Lei, Raghu Kacker, D. R Kuhn

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

Free Decompression with Algebraic Spectral Curves

Algebraic spectral curves extend free decompression to multi-scale, multi-modal, and atomic spectral densities, enabling realistic neural network and diffusion model extrapolation.

Siavash Ameli, Chris van der Heide, Liam Hodgkinson, Michael Mahoney

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

From Average Sensitivity to Small-Loss Regret Bounds under Random-Order Model

Average sensitivity of offline approximations yields small-loss regret bounds via batch-to-online conversion in random-order online learning.

Shinsaku Sakaue, Yuichi Yoshida

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

Geometry-Aware Similarity Metrics for Neural Representations on Riemannian and Statistical Manifolds

Metric similarity analysis compares neural representations' intrinsic Riemannian geometry to distinguish different network solutions and dynamics.

N Alex Cayco Gajic, Arthur Pellegrino

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

Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations

Junjue Wang, Weihao Xuan, Heli Qi, Pengyu Dai and 6 more

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

BEAST3D: animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting

BEAST3D relates 3D behavioral features from multi-view video to neural activity via Gaussian splatting. It establishes a versatile framework for behavioral analysis using 3D structure in laboratory recordings.

Yanchen Wang, Lenny Aharon, Wangshu Zhu, Kyle Daruwalla and 6 more

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

Video Forensic Self-Descriptions: Leveraging Temporally Distributed Forensic Microstructures for Zero-Shot Detection of AI-Generated Videos

Aref Azizpour, Tai Nguyen, Matthew Stamm

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

MaxSketch: Robust Distinct Counting in Streams via Random Projections

MaxSketch uses random projections to estimate distinct counts in noisy streams with near-logarithmic memory under geometric structure.

Nikos Tsikouras, Constantine Caramanis, Christos Tzamos

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

Soteria: Formally Verified Planning with Runtime Enforcement for Safe LLM Agents

Deyuan (Mike) He, Ankush Desai, Sharad Malik, Aarti Gupta

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

EntiRE: Invariant Learning for Robust Concept Erasure in Text-to-Image Generative Models

Fengyuan Yu, Yuyuan Li, XiaoHua Feng, Li Zhang and 4 more

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

AgentAbstain: Do LLM Agents Know When Not to Act?

Xun Liu, Yi Evie Zhang, Vira Kasprova, Parisa Rabbani and 4 more

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

Filtered Conformal Ellipsoids for Graph-Native Time Series

Filtered conformal ellipsoids combine frozen state-space filters with split-conformal calibration of Mahalanobis scores to yield adaptive multivariate time-series prediction sets with approximate coverage under dependence, yielding sharper ellipsoids than static baselines on moderate graph-native be

Yannick Limmer

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

Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization

Xuekang Zhu, Kaiwen Feng, Ruifeng Wang, Xiwen Wang and 7 more

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

Do We Need Asynchronous SGD? On the Near-Optimality of Synchronous Methods

Grigory Begunov, Alexander Tyurin

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

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

DIAGNO: Diagonal Spherical Neural Operators for Heterogeneous Earth Dynamics Modeling

Herui Li, Bin Lu, Haonan Qi, Lei Zhou and 3 more

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

Unlocking Volition: Proactive Intention Decoding via Interpretable Graph Learning of Multi-Region ECoG

Kaizhong Zheng, JiaJunMA, Hongru Liu, Xinjian LI and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

Mitigating Confidence Miscalibration in Open-World Semi-Supervised Learning

Wenqiang Wu, Feng Wang, Jiye Liang, Liang Bai

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

UECO: A Unified Encoder with Structure-Aware Attention Mixture via Iterative Edge Evolving for Neural Combinatorial Optimization

Wenzheng Pan, Shuyi Yan, Nuoyan Chen, Yiyang Qu and 2 more

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

SMART: Scalable Multi-Agent Role-conditioned Teaming via LLM-free Tree Search

Runzhe Zhang, Ning Li, Xingshan Zeng, Letian Chen and 4 more

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

Surprises in Proper Positive-Only Learning

Shai Ben-David, Farnam Mansouri, Anay Mehrotra, Manolis Zampetakis

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

Beyond Family Labels: A Taxonomic Ornstein-Uhlenbeck Prior for Avian 3D Shape Recovery

Yunchan Jeon, SOO GON KIM, Seungwook Kim, CheolWon Lee and 1 more

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

Learning Sparse Semantic-Cortical Atoms for Multisubject Naturalistic fMRI Encoding

Alicia Zeng

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

HearSayBench: Can LLMs Navigate from Abstract Human Rights to Lived Lives?

Sobhan Lotfi, Ava Iranmanesh, Ali Iranmanesh, Liwei Jiang

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

The Sign Code: The Hidden Binary Nature of Deep Networks

Niclas A Göring, Shuofeng Zhang, Roi Holtzman, yoonsoo nam and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

LLM-Enhanced Random Forests in Orthogonal Hyperbolic Subspaces for Tabular Learning

Shengpeng Wang, Yisen Gao, Han Xiang, lingyun liu and 4 more

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

ALTER: An Allen's Algebra-Based Evaluation Framework for Temporal Reasoning of LLMs

Zhou Hongkai, Yanhui Li

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

IDEA: Unwrapping Visual Black-box Models by Interaction Decomposition

Chaojie Ji, Jian Xu, He Zhang, Hongyan Wu and 2 more

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

Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events

Isabella Thiel, Juan M. Bello-Rivas, Yannis Kevrekidis, Themis Sapsis

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

They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification

MENGYU WANG, Ken Deng, Yftah Ziser, Shay Cohen and 1 more

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

Releasing Anchors from Cross-View Correspondence: Probabilistic Multi-View Anchor Graph Clustering

Zhoumin Lu, Yongbo Yu, Yu Duan, Feiping Nie and 1 more

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

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

Coordination Connectivity: Shared Initialization Shapes the Joint-Policy Landscape in MARL

Yixiang Fan, Zhiqiang Pu, Hao Ma, Dongmin Li and 4 more

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

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

Zihan Wang, Ethan Ma, Zhongkui Ma, Shuofeng Liu and 4 more

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

LoRAcles: Self-Supervised Weight-Space Interpretability at Scale

Celeste De Schamphelaere, Jan Bauer, Neel Nanda, Euan Ong

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

Evaluating Neural Data Tokenizers: A Framework for Assessing Learned Representations of Spiking Activity

Federico D'Agostino, Alex Gilbert, Susanne Keller, Jaivardhan Kapoor and 16 more

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

Decomposing Earth Embeddings with Sparse Autoencoders

Vitus Benson, Fanny Yang, Markus Reichstein

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

Thinking with Images as Continuous Policy: Numerical Visual Chain-of-Thought

Kesen Zhao, Beier Zhu, Junbao Zhou, Xingyu Zhu and 2 more

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

Shaping Useful Noise: Energy Distributions Predict Visual Pretraining Quality

Ching Lam Choi, Antonio Torralba, Phillip Isola, Stefanie Jegelka

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

Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries

Junhyuk Kwon, Seungjoon Lee, Hyejin Park, Kyle Min and 1 more

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

Certifiably Optimal Robust Angular Synchronization

Daniel Barath, Keisuke Tateno, Marc Pollefeys, Federico Tombari

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

The Power of a Random Sample in Online Algorithms

Omer Wasim, Sami Davies, Shallu Tomer, Rathish Das

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

FLIP: Fast and Accurate Global Lipschitz Estimation for Large Feedforward Networks

Hongbo Chen, Zihao Ren

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

Felid: A Flexible and Efficient Design for Transformer Fine-Tuning over Encrypted Data

Linru Zhang, Jun J Sim, Xiangning Wang, Jiahao Zhong and 10 more

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