16 citations · 94 across the 59 of their papers we have counts for
8 papers · 1 filter
AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens
Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou +3
Modern transformer architectures achieve remarkable performance across tasks and domains but remain rigid in how they allocate computation at inference time. Real-world deployment…
Process-based Indicators of Vulnerability Re-Introducing Code Changes: An Exploratory Case Study
Samiha Shimmi, Nicholas M. Synovic, Mona Rahimi +1
Software vulnerabilities often persist or re-emerge even after being fixed, revealing the complex interplay between code evolution and socio-technical factors. While source code me…
LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
Benjamin Shiue-Hal Chou, Purvish Jajal, Nick John Eliopoulos +4
Music learners can greatly benefit from tools that accurately detect errors in their practice. Existing approaches typically compare audio recordings to music scores using heuristi…
2024 NSF CSSI-Cybertraining-SCIPE PI Meeting August 12 to 13, 2024, Charlotte, NC
Abani Patra, Mary Thomas, Elias Bou-Harb +31
The second annual NSF, OAC CSSI, CyberTraining and related programs PI meeting was held August 12 to 13 in Charlotte, NC, with participation from PIs or representatives of all majo…
SysLLMatic: Large Language Models are Software System Optimizers
Huiyun Peng, Arjun Gupte, Ryan Hasler +7
Automatic software system optimization can improve software speed, reduce operating costs, and save energy. Traditional approaches to optimization rely on manual tuning and compile…
Inference-Time Alignment of Diffusion Models via Evolutionary Algorithms
Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou +3
Diffusion models are state-of-the-art generative models, yet their samples often fail to satisfy application objectives such as safety constraints or domain-specific validity. Exis…
Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis
Nikita Ravi, Abhinav Goel, James C. Davis +1
The field of deep learning has witnessed significant breakthroughs, spanning various applications, and fundamentally transforming current software capabilities. However, alongside…
Exact Dynamics and Bloch Oscillations in a Non Hermitian Zigzag Glauber Fock Lattice
G. S. Fahara-Ojeda, L. A. Tapia-Alarcón, B. M. Villegas-Martínez +8
The discrete dynamics of a one-dimensional non-hermitian zigzag waveguide array is studied theoretically. This system is characterized by unbalanced left/right nearest-neighbor hop…