7 citations · 9 across the 12 of their papers we have counts for
13 papers
IGA-KAN: Isogeometric Analysis with Physics-Informed Closed-Form Kolmogorov-Arnold Networks for Forward and Inverse PDEs
Sima Naraghi, Kourosh Parand, Amirhossein Sadr +1
Isogeometric analysis (IGA) solves partial differential equations accurately on exact NURBS geometry, whereas neural solvers are mesh-free but often orders of magnitude less accura…
Compress and Forget: bitsandbytes Quantization Amplifies Proactive Interference in LLMs
Shayan Shahrabi-Farahani, Dara Rahmati
Proactive interference (PI) is a documented failure mode in large language models in which retrieval of a repeatedly overwritten value degrades as prior overwrites accumulate, mirr…
PG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs
Amirhossein Sadr, Nima Soltani, Vahideh Moghtadaiee +3
Physics-informed learning of partial differential equations (PDEs) has been dominated by multilayer perceptrons (MLPs), whose spectral bias and dense parameterization limit both ac…
A Generic Modulo- RNS Multiplier Based on Twit Representation
Saeid Gorgin, Amirhossein Sadr, Behzad Salami +1
Modular multiplication is a fundamental arithmetic primitive in Residue Number Systems (RNS) and is often the dominant source of delay, area, and energy consumption in RNS datapath…
ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting
Pourya Zamanvaziri, Amirhossein Sadr, Aida Pakniyat +1
Multivariate time series forecasting plays a pivotal role in numerous real-world applications, including financial analysis, energy management, and traffic planning. While Transfor…
Modeling and Simulation Frameworks for Processing-in-Memory Architectures
Mahdi Aghaei, Saba Ebrahimi, Mohammad Saleh Arafati +4
Processing-in-Memory (PIM) has emerged as a promising computing paradigm to address the memory wall and the fundamental bottleneck of the von Neumann architecture by reducing costl…
GraphDerm: Fusing Imaging, Physical Scale, and Metadata in a Population-Graph Classifier for Dermoscopic Lesions
Mehdi Yousefzadeh, Parsa Esfahanian, Sara Rashidifar +5
Introduction. Dermoscopy aids melanoma triage, yet image-only AI often ignores patient metadata (age, sex, site) and the physical scale needed for geometric analysis. We present Gr…
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems
Soudabeh Mousavi, Dara Rahmati, Saeid Gorgin +1
In computation-intensive domains such as digital signal processing, encryption, and neural networks, the performance of arithmetic units, including adders and multipliers, is pivot…
Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View
Abtin Mahyar, Hossein Motamednia, Dara Rahmati
An accurate understanding of a self-driving vehicle's surrounding environment is crucial for its navigation system. To enhance the effectiveness of existing algorithms and facilita…
HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version)
Mohammad Sina Karvandi, MohammadHossein Gholamrezaei, Saleh Khalaj Monfared +7
Software analysis, debugging, and reverse engineering have a crucial impact in today's software industry. Efficient and stealthy debuggers are especially relevant for malware analy…
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training
Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi +4
Emerging intelligent embedded devices rely on Deep Neural Networks (DNNs) to be able to interact with the real-world environment. This interaction comes with the ability to retrain…
Unlucky Explorer: A Complete non-Overlapping Map Exploration
Mohammad Sina Kiarostami, Saleh Khalaj Monfared, Mohammadreza Daneshvaramoli +4
Nowadays, the field of Artificial Intelligence in Computer Games (AI in Games) is going to be more alluring since computer games challenge many aspects of AI with a wide range of p…
A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel
Mohammad Sina Karvandi, Saleh Khalaj Monfared, Mohammad Sina Kiarostami +2
Nowadays, in operating systems, numerous protection mechanisms prevent or limit the user-mode applicationsto access the kernels internal information. This is regularlycarried out b…