1 citations · 3 across the 6 of their papers we have counts for
8 papers
Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar +6
Machine-learning performance modeling is a uniquely hostile terrain for long-lived software: the assumptions baked into today's abstractions are invalidated by tomorrow's models an…
Improving Coherence and Persistence in Agentic AI for System Optimization
Pantea Karimi, Kimia Noorbakhsh, Mohammad Alizadeh +1
Designing high-performance system heuristics is a creative, iterative process requiring experts to form hypotheses and execute multi-step conceptual shifts. While Large Language Mo…
Glia: A Human-Inspired AI for Automated Systems Design and Optimization
Pouya Hamadanian, Pantea Karimi, Arash Nasr-Esfahany +5
Can AI autonomously design mechanisms for computer systems on par with the creativity and reasoning of human experts? We present Glia, an AI architecture for networked systems desi…
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
Kimia Noorbakhsh, Joseph Chandler, Pantea Karimi +2
Assessing and enhancing human learning through question-answering is vital, yet automating this process remains challenging. While large language models (LLMs) excel at summarizati…
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh +4
Recent vision architectures and self-supervised training methods enable vision models that are extremely accurate and general, but come with massive parameter and computational cos…
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Hanieh Naderi, Kimia Noorbakhsh, Arian Etemadi +1
Although 3D point cloud classification has recently been widely deployed in different application scenarios, it is still very vulnerable to adversarial attacks. This increases the…
Counterfactual Temporal Point Processes
Kimia Noorbakhsh, Manuel Gomez Rodriguez
Machine learning models based on temporal point processes are the state of the art in a wide variety of applications involving discrete events in continuous time. However, these mo…
Pretrained Language Models are Symbolic Mathematics Solvers too!
Kimia Noorbakhsh, Modar Sulaiman, Mahdi Sharifi +2
Solving symbolic mathematics has always been of in the arena of human ingenuity that needs compositional reasoning and recurrence. However, recent studies have shown that large-sca…