Ax Pooneh Mousavi, Lovenya Jain, Mirco Ravanelli, Cem Subakan 3/20/2026

Investigating Faithfulness in Large Audio Language Models

Framework evaluating faithfulness of chain-of-thought reasoning in large audio language models for multimodal tasks.

Ax Elaheh Akbari, Shansita Sharma, Ping He, Ahmadreza Moradipari, Kyungtae Han, Hamed Pirsiavash, Yikun Bai, Soheil Kolouri 3/20/2026

OT-MeanFlow3D: Bridging Optimal Transport and Meanflow for Efficient 3D Point Cloud Generation

Flow-matching models for 3D point cloud generation using optimal transport and meanflow for single-step inference acceleration.

Ax Ange-Cl\'ement Akazan, Verlon Roel Mbingui 3/20/2026

Splines-Based Feature Importance in Kolmogorov-Arnold Networks: A Framework for Supervised Tabular Data Dimensionality Reduction

KAN-based feature selection framework for tabular data via spline-based importance scoring. Specialized ML technique.

Ax Maryam Aliakbarpour, Vladimir Braverman, Junze Yin, Haochen Zhang 3/20/2026

Support Basis: Fast Attention Beyond Bounded Entries

Sub-quadratic attention algorithm removing bounded-entry restrictions for LLM inference speedup. Foundational LLM efficiency research.

Ax Seunghyeon Kim, Taesun Yeom, Jinho Kim, Wonpyo Park, Kyuyeun Kim, Jaeho Lee 3/20/2026

Activation Quantization of Vision Encoders Needs Prefixing Registers

Quantization technique for vision encoders using prefix registers to handle outliers. Optimization research for multimodal models.

Ax Haolin Liu, Chen-Yu Wei, Julian Zimmert 3/20/2026

An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs

Theoretical reinforcement learning on decision-estimation coefficients for adversarial MDPs. Pure RL theory.

Ax Bernardo Perrone Ribeiro, Jana Faganeli Pucer 3/20/2026

FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching

Conditional flow matching for precipitation forecasting. Weather prediction ML, not core AI interests.

Ax Ziyue Wang, Yayati Jadhav, Peter Pak, Amir Barati Farimani 3/20/2026

Image2Gcode: Image-to-G-code Generation for Additive Manufacturing Using Diffusion-Transformer Model

Diffusion-Transformer model converting images directly to G-code for 3D printing. Applied ML, domain-specific.

Ax Anil K. Saini, Jose Guadalupe Hernandez, Emily F. Wong, Debanshi Misra, Tiffani J. Bright, Jason H. Moore 3/20/2026

Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective

Genetic algorithm for sample reweighting to mitigate ML bias. Fairness-focused, not primary tech interests.

Ax Giulia Lanzillotta, Damiano Meier, Thomas Hofmann 3/20/2026

Heads collapse, features stay: Why Replay needs big buffers

Continual learning research on replay buffer size impact on feature retention vs. classifier forgetting. Specialized ML theory.

Ax Patrick Egenlauf, Iva B\v{r}ezinov\'a, Sabine Andergassen, Miriam Klopotek 3/20/2026

Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations

Neural ODEs for quantum many-body dynamics simulation. Physics-focused ML, not core AI interests.

Ax Yifan Zhang, Wei Bi, Kechi Zhang, Dongming Jin, Jie Fu, Zhi Jin 3/20/2026

Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer

Algorithm extraction from Discrete Transformers via symbolic program synthesis. Addresses representation entanglement in interpretability.

Ax Jiquan Wang, Sha Zhao, Yangxuan Zhou, Yiming Kang, Shijian Li, Gang Pan 3/20/2026

DeeperBrain: A Neuro-Grounded EEG Foundation Model Towards Universal BCI

EEG foundation model for brain-computer interfaces with biophysical grounding. Neuroscience domain, not AI/tech stack focused.

Ax Injin Kong, Hyoungjoon Lee, Yohan Jo 3/20/2026

Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models

Research analyzing mechanistic changes when post-training autoregressive models into masked diffusion models. Studies model internals via circuit analysis.

Ax Brijesh FNU, Viet Thanh Duy Nguyen, Ashima Sharma, Md Harun Rashid Molla, Chengyi Xu, Truong-Son Hy 3/20/2026

Multimodal Machine Learning for Soft High-k Elastomers under Data Scarcity

Machine learning for materials science: multimodal models predict dielectric elastomer properties under limited data. Domain-specific ML, not AI-focused.

Ax Qinglun Li, Anke Tang, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen 3/20/2026

A Unified Generalization Framework for Model Merging: Trade-offs, Non-Linearity, and Scaling Laws

Unified theoretical framework for model merging explaining effectiveness across heterogeneous fine-tuning hyperparameters with scaling laws.

Ax Rebecca Pelke, Joel Klein, Jose Cubero-Cascante, Nils Bosbach, Jan Moritz Joseph, Rainer Leupers 3/20/2026

Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators

Mixed-precision training and compilation techniques for RRAM-based computing-in-memory ML accelerators with low bit-width constraints.

Ax Aneeqa Mehrab, Jan Willem Van Looy, Pietro Demurtas, Stefano Iotti, Emil Malucelli, Francesca Rossi, Ferdinando Zanchetta, Rita Fioresi 3/20/2026

Sheaf Neural Networks and biomedical applications

Application of sheaf neural networks to biomedical problems comparing performance against GCNs, GATs, and GraphSage.

Ax Rares Grozavescu, Pengyu Zhang, Etienne Meunier, Mark Girolami 3/20/2026

Koopman Autoencoders with Continuous-Time Latent Dynamics for Fluid Dynamics Forecasting

Continuous-time Koopman autoencoder for surrogate modeling of time-dependent PDEs in fluid dynamics.

Ax Jingkun Liu, Yisong Yue, Max Welling, Yue Song 3/20/2026

Krause Synchronization Transformers

Krause Attention: principled attention mechanism addressing representation collapse and attention sink issues in transformers.

Ax Nicolas Zumarraga, Thomas Kaar, Ning Wang, Maxwell A. Xu, Max Rosenblattl, Markus Kreft, Kevin O'Sullivan, Paul Schmiedmayer, Patrick Langer, Robert Jakob 3/20/2026

TS-Haystack: A Multi-Scale Retrieval Benchmark for Time Series Language Models

Multi-scale retrieval benchmark for time series language models addressing long-context temporal localization under computational constraints.

Ax Shruti Joshi, Aaron Mueller, David Klindt, Wieland Brendel, Patrik Reizinger, Dhanya Sridhar 3/20/2026

Causality is Key for Interpretability Claims to Generalise

Position paper on causal inference requirements for valid and generalizable interpretability claims in LLM research.

Ax Ali Saheb Pasand, Johan Obando-Ceron, Aaron Courville, Pouya Bashivan, Pablo Samuel Castro 3/20/2026

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

Deep reinforcement learning stability improvement through isotropic Gaussian embeddings under non-stationary training dynamics.

Ax Sunki Hong, Jisoo Lee, Yuanyuan Shi 3/20/2026

Benchmarking State Space Models, Transformers, and Recurrent Networks for US Grid Forecasting

Benchmark comparing state space models, transformers, and RNNs for US power grid electricity demand forecasting.

Ax Xuanhao Mu, Jakob Geiges, Nan Liu, Thorsten Schlachter, Veit Hagenmeyer 3/20/2026

Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks

Graph neural network approach for spatial allocation in energy system coupling with mismatched resolutions.

Ax Hung-Hsuan Chen 3/20/2026

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation via Manifold Expansion

CeRA: improved parameter-efficient fine-tuning method that surpasses LoRA's linear constraints via manifold expansion with gating and dropout.

Ax Yongzhong Xu 3/20/2026

Optimizer-Induced Low-Dimensional Drift and Transverse Dynamics in Transformer Training

Analysis of transformer training trajectories under AdamW showing low-dimensional drift directions and batch-gradient alignment patterns.

Ax Daniel S. Berman, Brian Merritt, Stanley Ta, Dana Udwin, Amanda Ernlund, Jeremy Ratcliff, Vijay Narayan 3/20/2026

What You Read is What You Classify: Highlighting Attributions to Text and Text-Like Inputs

Explainable AI method for highlighting token attributions in text classification using transformers.

Ax Nilesh Jain, Rohit Yadav, Sagar Kotian, Claude AI 3/20/2026

AutoResearch-RL: Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery

Framework for autonomous neural architecture and hyperparameter search using self-evaluating RL agents without human supervision.

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.