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Ax Zhenwei Tang, Arun Verma, Zijian Zhou, Zhaoxuan Wu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low 3/20/2026

MineDraft: A Framework for Batch Parallel Speculative Decoding

MineDraft framework for batch parallel speculative decoding to accelerate LLM inference by hiding draft and verify stages.

Ax Xingyu Chen, Xinyu Zhang, Kai Zheng, Xinmin Fang, Tzu-Mao Li, Chris Xiaoxuan Lu, Zhengxiong Li 3/20/2026

Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin

Differentiable rendering technique for RF digital twins enabling gradient-based optimization of radio frequency systems.

Ax Kyeonghyun Yoo, Wooyong Jung, Namkyung Yoon, Sangmin Lee, Sanghong Kim, Hwangnam Kim 3/20/2026

KD-EKF: Knowledge-Distilled Adaptive Covariance EKF for Robust UWB/PDR Indoor Localization

Sensor fusion method combining UWB and inertial measurement for indoor localization under non-line-of-sight conditions.

Ax Scott Thornton 3/20/2026

Semantic Chameleon: Corpus-Dependent Poisoning Attacks and Defenses in RAG Systems

Corpus poisoning attacks and defenses for RAG systems, demonstrating vulnerabilities in LLM-extended retrieval pipelines.

Ax Maximilian Nicholson 3/20/2026

Sharpness Aware Surrogate Training for Spiking Neural Networks

Training technique applying sharpness-aware minimization to spiking neural networks using surrogate gradient methods.

Ax Hanuman Verma, Kiho Im, Akshansh Gupta, M. Tanveer 3/20/2026

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation

Medical imaging method combining intuitionistic fuzzy logic with U-Net architectures for MRI brain image segmentation.

Ax Mohammad Javad Sekonji, Ali Mahani, Maryam Mirsadeghi, Mahdi Taheri 3/20/2026

An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks

FPGA-based SoC architecture for spiking neural networks using RISC-V controller and event-driven computation for edge AI.

Ax Timothy Oh 3/20/2026

A Synthesizable RTL Implementation of Predictive Coding Networks

Digital RTL architecture implementing predictive coding networks as alternative to backpropagation for distributed hardware learning.

Ax Shengjie Huang, Sijie Yang, Jianqiao Yi, Rui Zheng, Haocong Liao, Muzammal Hussain, Yaoquan Tu, Xiaoyun Lu, Yang Zhou 3/20/2026

Generative Replica-Exchange: A Flow-based Framework for Accelerating Replica Exchange Simulations

Framework integrating deep generative models and normalizing flows to accelerate replica exchange molecular simulations.

Ax Thomas Duboudin, Xavier Fontaine, Etienne Andrier, Lionel Guillou, Alexandre Filiot, Thalyssa Baiocco-Rodrigues, Antoine Olivier, Alberto Romagnoni, John Klein, Jean-Baptiste Schiratti 3/20/2026

CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report

Foundation diffusion model for computational pathology and histopathology image analysis with self-supervised learning.

Ax Sooyoung Ryu, Mathieu Salzmann, Saqib Javed 3/20/2026

Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling

Quantization-aware drift correction method for diffusion model sampling to reduce degradation from post-training quantization noise.

Ax Mohammed Rahman Sherif Khan Mohammad, Ardhendu Behera, Sandip Pradhan, Swagat Kumar, Amr Ahmed 3/20/2026

Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters

Few-shot learning adapter for CLIP using patch-level and text supervision without increasing inference costs.

Ax Kun Wang, Meng Chen, Junhao Wang, Yuli Wu, Li Lu, Chong Zhang, Peng Cheng, Jiaheng Zhang, Kui Ren 3/20/2026

STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling

Defense mechanism against backdoor attacks in audio/speech models using stability-based trigger detection at inference time.

Ax Houston Haynes 3/20/2026

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

Alternative training architecture for AI models using non-standard arithmetic and memory management for geometric and neuromorphic AI.

Ax Elynn Chen, Xi Chen, Yi Zhang 3/20/2026

Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity

Transfer learning for pricing and assortment optimization across markets using multinomial logit choice models with bandit feedback.

Ax Yuhao Dong, Zuyan Liu, Shulin Tian, Yongming Rao, Ziwei Liu 3/20/2026

Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models

Insight-V++ framework enables multi-agent visual reasoning for MLLMs with long-chain reasoning, addressing data scarcity and training optimization.

Ax Kasra Ahmadi, Saeed Aghapour, Mehran Mozaffari Kermani, Reza Azarderakhsh 3/20/2026

MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference

MAED detects activation errors in DNN inference to mitigate physical fault attacks on embedded neural networks.

Ax Senrui Chen, Francesco Anna Mele, Marco Fanizza, Alfred Li, Zachary Mann, Hsin-Yuan Huang, Yanbei Chen, John Preskill 3/20/2026

Towards sample-optimal learning of bosonic Gaussian quantum states

Theoretical study on optimal sample complexity for learning unknown bosonic Gaussian quantum states in continuous-variable systems.

Ax Anish Hebbar, Rong Ge, Amit Kumar, Debmalya Panigrahi 3/20/2026

Learning-Augmented Algorithms for $k$-median via Online Learning

Learning-augmented algorithm framework using online learning to inform solutions for k-median clustering problems.

Ax Louis-Pierre Chaintron, L\'ena\"ic Chizat, Javier Maas 3/20/2026

ResNets of All Shapes and Sizes: Convergence of Training Dynamics in the Large-scale Limit

Theoretical analysis proving convergence of ResNet training dynamics in large-scale limits across depth, width, and embedding dimension.

Ax Jiayi Guo, Panyi Dong, Zhiyu Quan 3/20/2026

Starting Off on the Wrong Foot: Pitfalls in Data Preparation

Study of data preparation pitfalls in insurance modeling, highlighting instability of standard train-test splitting on imbalanced data.

Ax Purna Vindhya Kota, Meer Mehran Rashid, Somdatta Goswami, Lori Graham-Brady 3/20/2026

A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials

Hybrid diffusion-DeepONet framework predicts stress fields in hyperelastic materials with improved handling of sharp gradients.

Ax Himadri Samanta 3/20/2026

Impact of automatic speech recognition quality on Alzheimer's disease detection from spontaneous speech: a reproducible benchmark study with lexical modeling and statistical validation

Study on how ASR quality impacts Alzheimer's disease detection from speech transcripts using lexical feature modeling.

Ax Jasmine Rienecker, Katarina Mpofu, Naman Goel, Siddhartha Datta, Jun Zhao, Oscar Danielsson, Fredrik Thorsen 3/20/2026

Auditing Preferences for Brands and Cultures in LLMs

ChoiceEval framework audits brand and cultural preference biases in LLMs to assess market fairness and information diversity risks.

Ax Devjyoti Chakraborty, Zaki Sukma, Rakandhiya D. Rachmanto, Kriti Ghosh, In Kee Kim, Suchendra M. Bhandarkar, Lakshmish Ramaswamy, Nancy K. O'Hare, Deepak Mishra 3/20/2026

Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction

Neural Architecture Search applied to NeRF models for efficient satellite scene 3D reconstruction with reduced training time.

Ax Lingavasan Suresh Kumar, Yang Ba, Rong Pan 3/20/2026

MemArchitect: A Policy Driven Memory Governance Layer

MemArchitect adds governance layer for LLM agent memory management, handling contradictions, privacy, and outdated information in persistent RAG systems.

Ax Zichen Xie, Wenxi Wang 3/20/2026

Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought

VCoT-Bench evaluates LLMs on Rust program verification via chain-of-thought reasoning, testing logical deduction abilities beyond binary pass/fail.

Ax Yanchuan Tang, Taowen Wang, Yuefei Chen, Boxuan Zhang, Qiang Guan, Ruixiang Tang 3/20/2026

Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model

Method for reliable uncertainty quantification in Vision-Language-Action models by shifting focus to safety-critical moments in robotic control.

Ax Hashini Senaratne, Richard Attfield, Samith Widhanapathirana, David Howard, Cecile Paris, Dana Kulic, Leimin Tian 3/20/2026

HRI-SA: A Multimodal Dataset for Online Assessment of Human Situational Awareness during Remote Human-Robot Teaming

Dataset for detecting human situational awareness gaps in remote human-robot teaming through multimodal sensor data.

Ax Ruishuo Chen, Yu Chen, Zhuoran Li, Longbo Huang 3/20/2026

PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching

PowerFlow applies principled distribution matching to unsupervised reinforcement learning from LLM internal feedback without external supervision.

Ax Mingda Qiao 3/20/2026

Computational and Statistical Hardness of Calibration Distance

Theoretical study of computational and statistical hardness in computing calibration distance for probabilistic predictor evaluation.

Ax Bohan Wu, Julius von K\"ugelgen, David M. Blei 3/20/2026

Multi-Domain Causal Empirical Bayes Under Linear Mixing

Research on estimating causal representations from multi-domain data using empirical Bayes methods for causal representation learning.

Ax Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao 3/20/2026

TARo: Token-level Adaptive Routing for LLM Test-time Alignment

TARo enables frozen LLMs to perform structured reasoning at inference time through token-level adaptive routing, avoiding expensive post-training alignment.

Ax Yugo Miyata, Tomohiro Shiraishi, Shunichi Nishino, Ichiro Takeuchi 3/20/2026

Statistical Testing Framework for Clustering Pipelines by Selective Inference

Statistical framework for quantifying reliability of results from data analysis pipelines using selective inference techniques.

Ax Jason Dury 3/20/2026

From Topic to Transition Structure: Unsupervised Concept Discovery at Corpus Scale via Predictive Associative Memory

Unsupervised discovery of transition-structure concepts in text via temporal co-occurrence patterns using contrastive learning on large corpus.

Ax Lang Zhou, Shuxuan Li, Zhuohao Li, Shi Liu, Zhilin Zhao, Wei-Shi Zheng 3/20/2026

UT-ACA: Uncertainty-Triggered Adaptive Context Allocation for Long-Context Inference

Adaptive context allocation method for LLM long-context inference using uncertainty-triggered token-level budgeting to address attention dilution.

Ax Aditi Naiknaware, Salimeh Sekeh 3/20/2026

T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World

Vision-language model method for temporal out-of-distribution detection and domain generalization in open-world settings using adaptive pattern matching.

Ax Esteban Garces Arias, Nurzhan Sapargali, Christian Heumann, Matthias A{\ss}enmacher 3/20/2026