Ax Angad Singh Ahuja 3/20/2026

Adversarial Latent-State Training for Robust Policies in Partially Observable Domains

Research on robust policy training in partially observable reinforcement learning under adversarial latent state distribution shifts.

Ax Chieh-Hsin Lai, Bac Nguyen, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon, Molei Tao 3/20/2026

A Unified View of Drifting and Score-Based Models

Theoretical analysis connecting drifting models and score-based generative models through kernel-based transport discrepancy.

Ax Xiangwen Wang, Ananth Balashankar, Varun Chandrasekaran 3/20/2026

Systematic Scaling Analysis of Jailbreak Attacks in Large Language Models

Systematic study of jailbreak attack scaling laws across LLM methods and model families using compute-bounded optimization framework.

Ax Haihua Luo, Xuming Ran, Tommi K\"arkk\"ainen, Huiyan Xue, Zhonghua Chen, Qi Xu, Fengyu Cong 3/20/2026

Representation Finetuning for Continual Learning

Research on parameter-efficient fine-tuning for continual learning using representation-level optimization instead of weight-level black-box methods.

Ax Wanyin Wu, Kanxue Li, Baosheng Yu, Haoyun Zhao, Yibing Zhan, Dapeng Tao, Hua Jin 3/20/2026

PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation

Zero-shot surgical duration prediction combining retrieval-augmented LLMs with Bayesian averaging for resource management.

Ax Emil Hovad 3/20/2026

A Stability-Aware Frozen Euler Autoencoder for Physics-Informed Tracking in Continuum Mechanics (SAFE-PIT-CM)

Physics-informed autoencoder with frozen PDE solver for tracking continuum mechanics dynamics in video.

Ax Zakia Zaman, Praveen Gauravaram, Mahbub Hassan, Sanjay Jha, Wen Hu 3/20/2026

Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap

Survey of privacy-preserving machine learning mechanisms for IoT devices covering federated learning and edge computing approaches.

Ax Yongzhong Xu 3/20/2026

Spectral Edge Dynamics of Training Trajectories: Signal--Noise Geometry Across Scales

Analysis of transformer training dynamics via Spectral Edge Dynamics, identifying coherent optimization directions vs stochastic noise.

Ax Shuizhou Chen, Lang Yu, Kedu Jin, Songming Zhang, Hao Wu, Wenxuan Huang, Sheng Xu, Quan Qian, Qin Chen, Lei Bai, Siqi Sun, Zhangyang Gao 3/20/2026

SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction

Virtual cell perturbation prediction model using optimal transport for in silico experimentation on genetic/chemical perturbations.

Ax Ting Gao, Stavros Orfanoudakis, Nan Lin, Elvin Isufi, Winnie Daamen, Serge Hoogendoorn 3/20/2026

Flow Matching Policy with Entropy Regularization

Diffusion-based reinforcement learning policy using flow matching with direct entropy regularization and efficient gradient computation.

Ax Laila Khalid, Wei Gong 3/20/2026

Exploring AI in Fashion: A Review of Aesthetics, Personalization, Virtual Try-On, and Forecasting

Comprehensive review of AI methods in fashion including aesthetics, personalization, virtual try-on, and forecasting.

Ax Lars van der Laan, Marco Carone, Alex Luedtke 3/20/2026

Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts

Novel framework for estimating heterogeneous causal contrasts combining T-learning and DR-learning approaches.

Ax Aws Khalil, Jaerock Kwon 3/20/2026

PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles

Deep learning framework to compensate for perception latency in vision-based autonomous vehicle lane-keeping.

Ax Ji-Hun Oh, Kianoush Falahkheirkhah, John Cheville, Rohit Bhargava 3/20/2026

Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline

Detects hallucinations in virtually-stained histology using latent space analysis and neural precursor method.

Ax Edric Tam, Barbara E Engelhardt 3/20/2026

Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score

Method for evaluating synthetic chest X-ray quality using embedded characteristic scores.

Ax Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis 3/20/2026

Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment

Universal sparse autoencoders for discovering and aligning interpretable concepts across multiple neural networks.

Ax Anastasia N. Krouglova, Hayden R. Johnson, Basile Confavreux, Michael Deistler, Pedro J. Gon\c{c}alves 3/20/2026

Multifidelity Simulation-based Inference for Computationally Expensive Simulators

Multifidelity simulation-based inference framework for parameter estimation with expensive simulators.

Ax Mingyang Liu, Gabriele Farina, Asuman Ozdaglar 3/20/2026

Differentially Private Equilibrium Finding in Polymatrix Games

Algorithm for finding game equilibria under differential privacy constraints in polymatrix games.

Ax Alexandru Apostu, Silviu Gheorghe, Andrei H\^iji, Nicolae Cleju, Andrei P\u{a}tra\c{s}cu, Cristian Rusu, Radu Ionescu, Paul Irofti 3/20/2026

Detecting and Mitigating DDoS Attacks with AI: A Survey

Survey of AI-based methods for detecting and mitigating distributed denial-of-service attacks.

Ax Lovedeep Gondara, Jonathan Simkin, Shebnum Devji, Gregory Arbour, Raymond Ng 3/20/2026

ELM: A Hybrid Ensemble of Language Models for Automated Tumor Group Classification in Population-Based Cancer Registries

Ensemble of language models for automated tumor classification in cancer registry pathology reports.

Ax Asutay Ozmen, Jo\~ao P. Hespanha, Katie Byl 3/20/2026

Learning Transferable Friction Models and LuGre Identification Via Physics-Informed Neural Networks

Physics-informed neural networks for learning transferable friction models in robotics simulation.

Ax Matt I. B. Oddo, Ryan Smith, Stephen Kobourov, Tamara Munzner 3/20/2026

Visualization Tasks for Unlabeled Graphs

Visualization techniques and task definitions for graphs without node labels.

Ax Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino 3/20/2026

Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices

Hardware-aware neural architecture search for encrypted traffic classification on IoT edge devices.

Ax Dan Garber 3/20/2026

First-Order Sparse Convex Optimization: Better Rates with Sparse Updates

First-order optimization methods for sparse convex problems with improved convergence rates.

Ax Daniele Ravasio, Marcello Farina, Alessio La Bella, Andrea Ballarino 3/20/2026

Recurrent neural network-based robust control systems with regional properties and application to MPC design

RNN-based control system design with stability guarantees and model predictive control applications.

Ax Jose L. Bonilla, Krzysztof M. Graczyk, Artur M. Ankowski, Rwik Dharmapal Banerjee, Beata E. Kowal, Hemant Prasad, Jan T. Sobczyk 3/20/2026

Transfer Learning for Neutrino Scattering: Domain Adaptation with GANs

Transfer learning with GANs to generalize neutrino scattering predictions across different nuclear targets.

Ax Scarlett Raine, Emilio Olivastri, Benjamin Moshirian, Tobias Fischer 3/20/2026

AI-driven Dispensing of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef

AI pipeline for automated deployment of coral reseeding devices using real-time image analysis and robotics.

Ax Jacqueline Maasch, John Kalantari, Kia Khezeli 3/20/2026

CausalARC: Abstract Reasoning with Causal World Models

Testbed for evaluating AI reasoning with causal world models in low-data and out-of-distribution settings.

Ax Nikita Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin 3/20/2026

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

Universal distillation method for training efficient one-step generators from diffusion and flow models without GANs.

Ax Yuanzhi Zhu, Xi Wang, St\'ephane Lathuili\`ere, Vicky Kalogeiton 3/20/2026

Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings

Improves one-step image generation from masked diffusion models using soft embeddings to enable gradient flow for fine-tuning.

Ax Ruibin Chen, Haozhe Lei, Hao Guo, Marco Mezzavilla, Hitesh Poddar, Tomoki Yoshimura, Sundeep Rangan 3/20/2026

Transformer-Based Rate Prediction for Multi-Band Cellular Handsets

Transformer model for predicting cellular signal rates across multiple frequency bands in mobile handsets.

Ax Seyma Yaman Kayadibi 3/20/2026

Redundancy-as-Masking: Formalizing the Artificial Age Score (AAS) to Model Memory Aging in Generative AI

Artificial Age Score framework modeling memory aging patterns in large language models across conversational contexts.

Ax Gaoxiang Huang, Songning Lai, Yutao Yue 3/20/2026

Towards more holistic interpretability: A lightweight disentangled Concept Bottleneck Model

Lightweight disentangled concept bottleneck model for improved interpretability in neural networks.

Ax G. Svistunov (Universitat Polit\`ecnica de Val\`encia), A. Akhtarshenas (Universitat Polit\`ecnica de Val\`encia), D. L\'opez-P\'erez (Universitat Polit\`ecnica de Val\`encia), M. Giordani (University of Padova), G. Geraci (Universitat Pompeu Fabra), H. Yanikomeroglu (Carleton University) 3/20/2026

Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks

Survey on high altitude platform systems integration in 6G non-terrestrial networks.

Ax Michal Sanocki, Julija Zavadlav 3/20/2026

Generalization of Long-Range Machine Learning Potentials in Complex Chemical Spaces

Evaluation of machine learning interatomic potentials across chemical spaces, assessing generalization and transferability.

Ax Irched Chafaa, Giacomo Bacci, Luca Sanguinetti 3/20/2026

Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks

Transformer model for AP clustering and power allocation optimization in cell-free MIMO networks.

Ax Zijian Liu 3/20/2026

Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis

Theoretical analysis of clipped gradient optimization under heavy-tailed noise with refined convergence bounds.

Ax Jos\'e Pulido, Francesc Wilhelmi, Sergio Fortes, Alfonso Fern\'andez-Dur\'an, Lorenzo Galati Giordano, Raquel Barco 3/20/2026

Studying the Role of Synthetic Data for Machine Learning-based Wireless Networks Traffic Forecasting

Novel synthetic data generation method for wireless network traffic forecasting to augment training datasets.

Ax Marc Salvad\'o-Benasco, Aymane Kssim, Alexander Heinlein, Rolf Krause, Serge Gratton, Alena Kopani\v{c}\'akov\'a 3/20/2026

Multi-Preconditioned LBFGS for Training Finite-Basis PINNs

Multi-preconditioned LBFGS algorithm for training physics-informed neural networks using domain decomposition.

Ax Daniel Kyselica, Jon\'a\v{s} Herec, Oliver Kutis, Rado Pito\v{n}\'ak 3/20/2026

Towards Onboard Continuous Change Detection for Floods

Onboard flood detection using History Injection Transformer for continuous change detection on resource-constrained satellites.

Ax Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, Yeguo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang 3/20/2026

The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models

Study showing arbitrary token generation order in diffusion LLMs doesn't improve reasoning despite flexibility.

Ax Shirin Reyhanian, Laurenz Wiskott 3/20/2026

Is Hierarchical Quantization Essential for Optimal Reconstruction?

Theoretical analysis of hierarchical quantization in VQ-VAEs questioning necessity for reconstruction performance.

Ax Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen 3/20/2026

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization

One-shot data augmentation technique for few-shot learning combining geometric perturbations with noise injection.

Ax Ahmed M. Elshazly, Ahmed Arafa 3/20/2026

Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation

Federated learning approach over wireless channels using over-the-air aggregation without channel state information.

Ax Kaushik Sinha, Christopher Tosh 3/20/2026

Optimal rates for density and mode estimation with expand-and-sparsify representations

Theoretical study of sparse representation models for density and mode estimation with optimal convergence rates.

Ax Markus Gross, Hans-Martin Rieser 3/20/2026

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach

Theoretical and interpretability analysis of quantum extreme learning machines using Pauli-transfer matrix approach.

Ax Nikolaos Al. Papadopoulos, Konstantinos Psannis 3/20/2026

The Coordination Gap: Multi-Agent Alternation Metrics for Temporal Fairness in Repeated Games

Multi-agent game theory study formalizing coordination dynamics in repeated games as Markov games.

Ax Ammar Fayad 3/20/2026

Score Reversal Is Not Free for Quantum Diffusion Models

Theoretical analysis of quantum diffusion models showing noiseless-to-noisy transition for score reversal.

Ax Yulin Li, Tengyao Tu, Li Ding, Junjie Wang, Huiling Zhen, Yixin Chen, Yong Li, Zhuotao Tian 3/20/2026

Efficient Reasoning with Balanced Thinking

Method for efficient LLM reasoning balancing overthinking and underthinking in resource-constrained settings.

Ax Yannis Montreuil, Le\"ina Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi 3/20/2026

Learning-to-Defer with Expert-Conditioned Advice

Learning-to-Defer framework extended to select experts and conditionally provide information like documents or tool outputs.