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Ax Mark Kozdoba, Shie Mannor 6/9/2026

How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs

Theoretical analysis of compositional Gaussian processes showing depth thresholds and non-Gaussian limits in deep Bayesian models.

Ax Haozhe Huang, Manuel Gonzalez Lastre, Hyun Suk Park, Jorge A. Campos-Gonzalez-Angulo, Xinjian Liu, Al\'an Aspuru-Guzik 6/9/2026

De novo molecular generation with optical property preconditioning at the token level

Token-conditioned GPT2 model for OLED molecular generation with targeted optical properties in low-data regime.

Ax Soumik Dutta, Kiarash Naghavi Khanghah, Sania Shree, Logan McNeil, Thomas Feldhausen, Hongyi Xu, Rajiv Malhotra 6/9/2026

GPT-Micro: A large language paradigm for accelerated, inexpensive, and thermodynamics-consistent discovery of constitutive models in manufacturing

LLM-based approach for automated discovery of thermodynamically-consistent constitutive models in manufacturing materials.

Ax Toan Tran, Arturs Backurs, Zinan Lin, Victor Reis, Li Xiong, Sergey Yekhanin 6/9/2026

Differentially Private Synthetic Data via APIs 4: Tabular Data

Differentially private synthetic tabular data generation extending Private Evolution framework to handle high-order correlations.

Ax Kexuan Zhang, Xiaobei Zou, Cesare Alippi, Gary G. Yen, Yang Tang 6/9/2026

Causal Semantic Alignment for LLM-based Time Series Forecasting

Method addressing spurious correlations in LLM-based time series forecasting through causal semantic alignment of temporal patterns.

Ax Jaineet Shah 6/9/2026

Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures

Framework using counterfactual analysis to identify root causes of LLM agent failures by replaying causal decision chains.

Ax Rok Hribar, Gregor Papa, Janez Povh, Andrej Kastrin 6/9/2026

On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem

Algorithm for symmetric multi-type orthogonal non-negative matrix tri-factorization with applications to clustering and network analysis.

Ax Aishwarya Chakravarthy, Vidhi Kulkarni, Duen Horng Chau 6/9/2026

QueryWeaver: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation

System converting natural language queries to execution graphs for multi-tool cross-application data queries using LLM reasoning and deterministic planning.

Ax Toan Tran, Waqwoya Abebe, Abhishek Potnis, Supriya Chinthavali, Cyrus Shahabi, Li Xiong, Dalton Lunga 6/9/2026

GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks

Two-tower GNN architecture for geographic localization of time series data, adapting image geolocalization techniques.

Ax Micha{\l} Czuba, Mateusz Stolarski, Adam Pir\'og, Piotr Bielak, Piotr Br\'odka 6/9/2026

Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networks

Graph foundation models for network dynamics with inductive cross-network generalization, demonstrated on super-spreader identification.

Ax Joao B. Florindo, Davi Wanderley Misturini 6/9/2026

Fourier fractal dimension to predict the generalization of deep neural networks

Generalization prediction method for deep neural networks using Fourier fractal dimension analysis without validation data.

Ax Emma Finn, Binxu Wang, T. Anderson Keller, Demba E. Ba 6/9/2026

Where the Score Lives: A Wavelet View of Diffusion

Wavelet analysis of score-based diffusion models examining how architectural choices (CNNs, U-Nets, Transformers) impact generative behavior.

Ax Andreas Schlapbach 6/9/2026

Orthogonality and Dimensionality in Airline Cluster Analysis using PCA and Kernel PCA

Replication study comparing PCA and kernel PCA for US airline clustering analysis from 1995-2020 data.

Ax Jason Sulskis, Sathya Ravi 6/9/2026

GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators

Neural operator architecture embedding thermodynamic principles (energy conservation, entropy production) into Fourier neural operators.

Ax Lingkai Kong, Hezi Jiang, Andrew Ma, Keyu Wang, Akseli Kangaslahti, Milind Tambe 6/9/2026

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals

Methods for adaptive resource allocation in peer-referral recruitment systems for hidden populations using algorithmic planning.

Ax Evan Duan 6/9/2026

Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects

Framework for predicting sparse autoencoder steering side effects in language models before intervention using feature statistics.

Ax Wanqiao Xu, Yifan Zhu, Benjamin Van Roy 6/9/2026

An Information-Theoretic Definition for Open-Ended Learning

Information-theoretic framework defining open-endedness in AI systems using bit-equivalents to quantify exploration in open-ended environments.

Ax Gianluca Scarpellini, Ron Shprints, Peter Holderrieth, Juno Nam, Pranav Murugan, Rafael G\'omez-Bombarelli, Tommi Jaakola, Maruan Al-Shedivat, Nicholas Matthew Boffi, Avishek Joey Bose 6/9/2026

Few-step Cofolding with All-Atom Flow Maps

All-atom generative flow model for rapid protein-ligand structure prediction, reducing computational cost of iterative diffusion rollouts.

Ax Leihan Zhang, Wecheng Ye, Xianlong Ma, Haochuan Liu, Yang Li, Qianyu Zhang, Jinliang Chen, Qiang Yan 6/9/2026

RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations

RiskNet: Large-scale dataset of 5,000+ AI risk incidents from news with multi-dimensional annotations for tracking real-world AI harms and failures.

Ax Priyansh Bhatnagar, Ashkan Moradifirouzabadi, Se-Hyun Yang, SeungJae Lee, Jungwook Choi, Mingu Kang 6/9/2026

STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control

STAR-KV framework for compressing KV cache in LLMs using adaptive low-rank projection with soft thresholding for fine-grained rank control.

Ax Pierfrancesco Beneventano, Mahmoud Abdelmoneum, Tomaso Poggio 6/9/2026

The Spectral Dynamics and Noise Geometry of Muon

Analyzes optimization bias in Muon optimizer that replaces matrix gradients with polar factors, proving entropy-maximizing properties under alignment assumptions.

Ax Valentina Kuskova, Dmitry Zaytsev, Michael Coppedge 6/9/2026

When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic

Studies identifiability of neural interaction discoveries in time-series models, examining whether discovered interactions reflect data properties or model artifacts.

Ax Yang Zhou, Ranajoy Sadhukhan, Zhaofeng Sun, Zhuoming Chen, Souvik Kundu, Saket Dingliwal, Sai Muralidhar Jayanthi, Aram Galstyan, Haizhong Zheng, Beidi Chen 6/9/2026

Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models

Sparse rollout optimization for efficient long-context reinforcement learning of LLMs with verifiable rewards balancing stability and speed.

Ax Anthony Bazhenov, Jean Erik Delanois, Giri P. Krishnan 6/9/2026

Not Just After One: Sleep-Inspired Replay Prevents Catastrophic Forgetting After Sequential Tasks

Sleep-inspired replay mechanism for neural networks to prevent catastrophic forgetting when learning sequential tasks without immediate retraining.

Ax Nazreen Shah, Govinda Arya, Bharath B. N., Ranjitha Prasad 6/9/2026

Theoretical Foundations of Continual Learning via Drift-Plus-Penalty

Control-theoretic framework for continual learning addressing catastrophic forgetting in nonstationary sequential data streams using drift-plus-penalty.

Ax Tuc Nguyen, Thai Le 6/9/2026

Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior

Method for controlling LLM behavior at inference time using invertible latent transformations beyond linear activation steering approaches.

Ax Cuong Dang, Jiahao Zhang, Hieu Ta Quang, Dung Le, Lu Cheng, Suhang Wang 6/9/2026

The Confidence Trap: Calibration Attacks for Graph Neural Networks

Study of adversarial attacks targeting confidence calibration in graph neural networks through structural perturbations.

Ax Xin Li, Chenhan Xiao, Jonathan Cohen, Aviad Elyashar, Yang Weng, Rami Puzis 6/9/2026

Physically Consistent Null Space Alignment for Detection of Low-Magnitude False Data Injection Attacks

Detection method for low-magnitude false data injection attacks in power systems using null space alignment analysis.

Ax Kewei Xu, Junbo Qi, Yanyan Zou, Pengfei Zhang, Xingzhi Yao, Shengjie Li 6/9/2026

Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation

Adaptive loss balancing method for reinforcement learning in generative recommendation systems to handle noisy reward signals from biased rankers.

Ax Suraj Ranganath, Anish Raghavendra 6/9/2026

PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems

Benchmark generation system for evaluating text-to-Cypher systems on enterprise property graphs with automated executable query-pair creation.

Ax Shufeng Kong, Tao Yu, Yuanyuan Wei, Caihua Liu, Junwen Bai, Yingheng Wang, Marc Grimson, Daniel Fink, Carla P. Gomes 6/9/2026

STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling

Joint species distribution modeling using spatio-temporal learning with latent alignment for biodiversity monitoring with long-tail species.

Ax Lixuan Jin, Bingxuan Lan, Xinyi Bao, Xiangyuan Xie, Chunjie Zhang, Zheng Chen, Tianshuo Liu, Ruijie Tian, Jinyu Ru, Gang Wang, Lei Yuan, Yang Yu 6/9/2026

Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning

Meta reinforcement learning approach for autonomous aerial vehicles to perform versatile payload manipulation across variable flight dynamics.

Ax Jannik L\"ubberstedt, Krischan Braitsch, Jacqueline Lammert, Christof Winter, Florian Gabriel, Tristan Lemke, Christopher Zirn, Markus Graf, Friedrich Puttkammer, Hartmut H\"antze, Johannes Moll, Anirudh Narayanan, Andrei Zhukov, Fabian Drexel, Zeineb Ben Chaaben, Sebastian Ziegelmayer, Su Hwan Kim, Marion H\"ogner, Jan Kirschke, Florian Bassermann, Marcus Makowski, Christian Wachinger, Lisa Adams, Keno Bressem 6/9/2026