Papers
Research papers from arXiv and related sources
Damage Prediction of Sintered α-SiC Using Thermo-mechanical Coupled Fracture Model
A three-way coupled thermo-mechanical fracture model is presented to predict the damage of brittle ceramics, in particular α-SiC, over a wide range of temperatures (20-1400 C). Predicting damage ov...
Jason Sun, Yu Chen, Joseph J. Marziale, Eric A. Walker, David Salac, James Chen
HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
Sequential LLM agents fail on long-horizon planning with hard constraints like budgets and diversity requirements. As planning progresses and context grows, these agents drift from global constrain...
The Viet Bui, Wenjun Li, Yong Liu
FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation
Test-Time Adaptation (TTA) is essential for enabling deep learning models to handle real-world data distribution shifts. However, current approaches face significant limitations: backpropagation-ba...
Xingyu Wang, Tao Wang
Selecting Spots by Explicitly Predicting Intention from Motion History Improves Performance in Autonomous Parking
In many applications of social navigation, existing works have shown that predicting and reasoning about human intentions can help robotic agents make safer and more socially acceptable decisions. ...
Long Kiu Chung, David Isele, Faizan M. Tariq, Sangjae Bae, Shreyas Kousik, Jovin D'sa
Sequential Multiple Testing: A Second-Order Asymptotic Analysis
We study sequential multiple testing with independent data streams, where the goal is to identify an unknown subset of signals while controlling commonly used error metrics, including generalized f...
Jingyu Liu, Yanglei Song
Going into a tailspin near the abyss: analytic solutions for spinning particles on near equatorial, plunging orbits in Kerr spacetime
This work presents, the first time, analytic solutions for the nearly equatorial, plunging motion of a spinning test-particle in Kerr spacetime. The equations of motion are solved at first-order in...
Gabriel Andres Piovano
sFRC for assessing hallucinations in medical image restoration
Deep learning (DL) methods are currently being explored to restore images from sparse-view-, limited-data-, and undersampled-based acquisitions in medical applications. Although outputs from DL may...
Prabhat Kc, Rongping Zeng, Nirmal Soni, Aldo Badano
Using Vision + Language Models to Predict Item Difficulty
This project investigates the capabilities of large language models (LLMs) to determine the difficulty of data visualization literacy test items. We explore whether features derived from item text ...
Samin Khan
50 Years of SUSY and SUGRA, circa 1974-2024, and Future Prospects
The development in the early seventies of supersymmetry, in the mid-seventies of gauge supersymmetry and supergravity, and in the early eighties of gravity mediated breaking of supersymmetry and of...
Pran Nath
Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector
Standard Retrieval-Augmented Generation (RAG) architectures fail in high-stakes financial domains due to two fundamental limitations: the inherent arithmetic incompetence of Large Language Models (...
Pedram Agand
Impact of 5G SA Logical Vulnerabilities on UAV Communications: Threat Models and Testbed Evaluation
This paper examines how logical vulnerabilities in 5G Standalone networks affect UAV command and control communication. The study looks at three attacker positions in the architecture: a malicious ...
Wagner Comin Sonaglio, Ágney Lopes Roth Ferraz, Lourenço Alves Pereira Júnior
On boundedness of solutions of three-state Moore-Greitzer compressor model with nonlinear proportional-integral controller for the surge subsystem
The work focuses on Lagrange stability of the origin for the three-state Moore-Greitzer compressor model in closed loop with a nonlinear PI controller, tuned only to stabilize a lower-dimensional i...
Anton S. Shiriaev, Leonid B. Freidovich, Alexander I. Shepeljavyi, Anders Robertsson, Rolf Johansson
Layering and superfluidity of soft-core bosons in shallow spherical traps
Fundamental theories and models of many-body physics can be probed in experiments on ultracold atoms held in place by electromagnetic fields. In particular, of considerable interest are systems und...
Fabio Cinti, Matteo Ciardi, Santi Prestipino, Giuseppe Pellicane
HDLFORGE: A Two-Stage Multi-Agent Framework for Efficient Verilog Code Generation with Adaptive Model Escalation
We present HDLFORGE, a two-stage multi-agent framework for automated Verilog generation that optimizes the trade-off between generation speed and accuracy. The system uses a compact coder with a me...
Armin Abdollahi, Saeid Shokoufa, Negin Ashrafi, Mehdi Kamal, Massoud Pedram
Gamified Informed Decision-Making for Performance-Aware Design by Non-Experts: An Exoskeleton Design Case Study
Decision Support Systems (DSS) play a crucial role in enabling non-expert designers to explore complex, performance-driven design spaces. This paper presents a gamified decision-making framework th...
Arman Khalilbeigi Khameneh, Armin Mostafavi, Alicia Nahmad Vazquez
Autonomous Aerial Non-Destructive Testing: Ultrasound Inspection with a Commercial Quadrotor in an Unstructured Environment
This work presents an integrated control and software architecture that enables arguably the first fully autonomous, contact-based non-destructive testing (NDT) using a commercial multirotor origin...
Ruben Veenstra, Barbara Bazzana, Sander Smits, Antonio Franchi
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
Independence testing is a fundamental problem in statistical inference: given samples from a joint distribution $p$ over multiple random variables, the goal is to determine whether $p$ is a product...
Maryam Aliakbarpour, Alireza Azizi, Ria Stevens
Quantum foundations for quantum technologies in the International Year of Quantum (2025)
From the very beginning, Quantum Mechanics has been accompanied by crucial foundational questions: the possibility of visualizing physical processes, the limits of measurement epitomized by the Hei...
Angelo Bassi
INTENSE: Detecting and disentangling neuronal selectivity in calcium imaging data
Neurons encode information about the environment through their activity. As animals explore the environment, neurons rapidly acquire selectivity for distinct features of the external world; charact...
Nikita Pospelov, Viktor Plusnin, Olga Rogozhnikova, Anna Ivanova, Vladimir Sotskov, Ksenia Toropo...
Can a Building Work as a Reservoir: Footstep Localization with Embedded Accelerometer Networks
Using floor vibrations to accurately predict occupants' footstep locations is essential for smart building operation and privacy-preserving indoor sensing. However, existing approaches are dominate...
Jun Wang, Rodrigo Sarlo, Suyi Li