Isolater - Feed

Ax Huiming Zhang, Haoyu Wei, Guang Cheng 3/16/2026

Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm

Statistical methods for estimating sub-Gaussian distribution parameters using intrinsic moment norms in non-asymptotic learning.

Ax Yichuan Deng, Zhao Song, Kaijun Yuan, Tianyi Zhou 3/16/2026

Why Softmax Attention Outperforms Linear Attention

Comparative analysis of softmax vs linear attention mechanisms in transformer architectures, examining computational efficiency tradeoffs.

Ax Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey 3/16/2026

From Activation to Initialization: Scaling Insights for Optimizing Neural Fields

Theoretical framework studying initialization and activation function scaling in neural fields for computer vision signal representation.

Ax Guido Di Federico, Louis J. Durlofsky 3/16/2026

Latent diffusion models for parameterization and data assimilation of facies-based geomodels

Latent diffusion models for geological parameterization and data assimilation, generating realistic geomodels with reduced variables for history matching.

Ax Jos\'e A. Carrillo, Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Dongyi Wei 3/16/2026

Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities

Theoretical analysis of Fisher-Rao gradient flow dynamics under Wasserstein metric, establishing geodesic convexity and functional inequalities.

Ax Fangyi Wei, Jiajie Mo, Kai Zhang, Haipeng Shen, Srikantan Nagarajan, Fei Jiang 3/16/2026

Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data

Nested deep learning foundation model for EEG/MEG spike detection in epilepsy diagnosis, addressing manual identification limitations.

Ax Jianwei Li, Jung-Eun Kim 3/16/2026

Superficial Safety Alignment Hypothesis

Analyzes brittleness of LLM safety alignment mechanisms, proposing superficial safety alignment hypothesis explaining why standard alignment approaches are vulnerable.

Ax Pablo de los Riscos, Fernando J. Corbacho 3/16/2026

Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots

Active causal structure learning framework enabling autonomous robots and AGI agents to dynamically construct causal models of environmental interactions.

Ax Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu 3/16/2026

Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More

Training paradigm integrating masked language modeling with next-token prediction to improve in-context retrieval in large language models.

Ax Deyu Bo, Songhua Liu, Xinchao Wang 3/16/2026

Understanding Dataset Distillation via Spectral Filtering

Spectral filtering framework unifying dataset distillation methods by interpreting them as filters affecting feature correlation eigenvalues.

Ax Daoze Zhang, Zhijian Bao, Sihang Du, Zhiyi Zhao, Kuangling Zhang, Dezheng Bao, Yang Yang 3/16/2026

Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions

Dataset of peer review discussions and rebuttals to support automated manuscript evaluation and improve scientific publishing workflow efficiency.

Ax Jonathan Garc\'ia, Philipp Petersen 3/16/2026

Minimax learning rates for estimating binary classifiers under margin conditions

Theoretical analysis of minimax learning rates for binary classification under geometric margin conditions with horizon function decision boundaries.

Ax Vinod Raman, Hilal Asi, Satyen Kale 3/16/2026

AdaBoN: Adaptive Best-of-N Alignment

Prompt-adaptive Best-of-N alignment strategy using reward models to reduce computational cost of test-time alignment for language models.

Ax Thai-Hoc Vu, Ngo Hoang Tu, Thien Huynh-The, Kyungchun Lee, Sunghwan Kim, Miroslav Voznak, Quoc-Viet Pham 3/16/2026

Integration of TinyML and LargeML: A Survey of 6G and Beyond

Survey on integrating TinyML and LargeML for 6G networks, covering deep learning applications in mobile systems, autonomous vehicles, and smart services.

Ax Konstantin Dobler, Desmond Elliott, Gerard de Melo 3/16/2026

Token Distillation: Attention-aware Input Embeddings For New Tokens

Attention-aware embedding initialization method for new tokens in LLMs without expensive retraining, addressing vocabulary limitations in specialized domains.

Ax Tobias J. Riedlinger, Kira Maag, Hanno Gottschalk 3/16/2026

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection

Conditional marked point processes for reliable object detection uncertainty quantification, addressing miscalibrated confidence scores in neural networks.

Ax Amirabbas Hojjati, Lu Li, Ibrahim Hameed, Anis Yazidi, Pedro G. Lind, Rabindra Khadka 3/16/2026

From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Saptiotemporal Dynamics in Brain Signal Analysis

Self-supervised learning approach adapting joint embedding architecture from video to EEG signals for brain activity analysis with limited labeled data.

Ax Maida Wang, Xiao Xue, Mingyang Gao, Peter V. Coveney 3/16/2026

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage

Quantum-informed ML framework combining quantum generative models with classical predictors for long-term spatiotemporal chaos prediction.

Ax Wei Lu, Amit Dhanda, Daniel L. Chen, Christian B. Hansen 3/16/2026

Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach

Supervised fine-tuning method to align LLM agents with rational and moral preferences in strategic economic games, addressing systematic behavioral deviations.

Ax Yinqiu Huang, Hao Ma, Wenshuai Chen, Zongwei Wang, Shuli Wang, Yongqiang Zhang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang 3/16/2026

Generative Bid Shading in Real-Time Bidding Advertising

Generative approach to bid shading in real-time bidding advertising using non-convex surplus optimization instead of traditional two-stage methods.

Ax Alexandre Brown, Glen Berseth 3/16/2026

SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens

Object-centric representations for visual RL policies using dynamic tokens to improve generalization under visual condition changes without fixed-size slots.

Ax Gabriele Digregorio, Marco Di Gennaro, Stefano Zanero, Stefano Longari, Michele Carminati 3/16/2026

On the (In)Security of Loading Machine Learning Models

Security evaluation of ML model sharing frameworks and hubs, assessing vulnerabilities in loading shared models and security awareness gaps among practitioners.

Ax Yinzhanghao Zhou, Tsung-Han Lee, Ao Chen, Nicola Lanat\`a, Hong Guo 3/16/2026

Neural-Quantum-States Impurity Solver for Quantum Embedding Problems

Neural quantum states impurity solver for quantum embedding problems. Graph transformer-based NQS for solving Hamiltonians in quantum chemistry.

Ax Tongfei Guo, Lili Su 3/16/2026

Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles

Dynamic Aware: out-of-distribution detection for trajectory prediction in autonomous vehicles. Adaptive multi-mode approach for distribution shift in AVs.

Ax Ahmed Jaber, Wangshu Zhu, Ayon Roy, Karthick Jayavelu, Justin Downes, Sameer Mohamed, Candace Agonafir, Linnia Hawkins, Tian Zheng 3/16/2026

AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need

AutoClimDS: agentic AI system for climate data science. Knowledge graph-based workflows for discovering climate patterns from fragmented data sources.

Ax Katsuhiko Hayashi, Hidetaka Kamigaito 3/16/2026

From Formal Language Theory to Statistical Learning: Finite Observability of Subregular Languages

Formal language theory applied to statistical learning. Proves subregular language classes are linearly separable with simple models.

Ax Shuofei Qiao, Yanqiu Zhao, Zhisong Qiu, Xiaobin Wang, Jintian Zhang, Zhao Bin, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen 3/16/2026

Scaling Generalist Data-Analytic Agents

DataMind: scalable data-analytic AI agents for automated discovery. Open-source agent framework handling diverse-format data files and multi-step reasoning.

Ax Hritik Bansal, Devendra Singh Sachan, Kai-Wei Chang, Aditya Grover, Gargi Ghosh, Wen-tau Yih, Ramakanth Pasunuru 3/16/2026

HoneyBee: Data Recipes for Vision-Language Reasoners

HoneyBee: data curation approaches for vision-language reasoning datasets. Analyzes impact of context, content, and format on VLM reasoning capabilities.

Ax Lizhi Yang, Blake Werner, Massimiliano de Sa, Aaron D. Ames 3/16/2026

CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions

CBF-RL: integrates control barrier functions into reinforcement learning training. Enforces dynamic safety constraints during RL policy training, not just inference.

Ax Yash Jangir, Yidi Zhang, Pang-Chi Lo, Kashu Yamazaki, Chenyu Zhang, Kuan-Hsun Tu, Tsung-Wei Ke, Lei Ke, Yonatan Bisk, Katerina Fragkiadaki 3/16/2026

RobotArena $\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation

RobotArena ∞: scalable robot benchmarking via real-to-sim translation. Enables rigorous evaluation of robot policies across diverse tasks and environments.

Ax Roy Rinberg, Adam Karvonen, Alexander Hoover, Daniel Reuter, Keri Warr 3/16/2026

Verifying LLM Inference to Detect Model Weight Exfiltration

Verifying LLM inference to detect model weight exfiltration via steganography. Defends inference servers against model theft and anomalous behavior.

Ax Zeyun Hu, Yang Liu 3/16/2026

Stochastic Dominance Constrained Optimization with S-shaped Utilities: Poor-Performance-Region Algorithm and Neural Network

Portfolio optimization under stochastic dominance constraints with S-shaped utilities. Investigates first and second-order dominance constraints.

Ax Anees Ur Rehman Hashmi, Numan Saeed, Christoph Lippert 3/16/2026