Aldo Pareja

According to our database, Aldo Pareja authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization.

Iris Xu, Guangtao Zeng, Zexue He, Charles Jin, Aldo Pareja, Dan Gutfreund, Chuang Gan, Zhang-Wei Hong

CoRR, December, 2025

Host-Side Telemetry for Performance Diagnosis in Cloud and HPC GPU Infrastructure.

Erfan Darzi, Aldo Pareja, Shreeanant Bharadwaj

CoRR, October, 2025

Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning.

Nikhil Shivakumar Nayak, Krishnateja Killamsetty, Ligong Han, Abhishek Bhandwaldar, Prateek Chanda, Kai Xu, Hao Wang, Aldo Pareja, Oleg Silkin, Mustafa Eyceoz, Akash Srivastava

CoRR, April, 2025

GPU Tail Latency Diagnosis for Serverless and HPC Workloads using eBPF.

Erfan Darzi, Aldo Pareja, Kaveh Jalilian, Shreeanant Bharadwaj

Proceedings of the 11th International Workshop on Serverless Computing, 2025

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.

Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LAB: Large-Scale Alignment for ChatBots.

Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Kai Xu, David D. Cox, Akash Srivastava

CoRR, 2024

Curiosity-driven Red-teaming for Large Language Models.

Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation.

Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias

Proceedings of the 2nd Symposium on Algorithmic Principles of Computer Systems, 2021

2020

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.

Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.

Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson

CoRR, 2019

2018

Scalable Graph Learning for Anti-Money Laundering: A First Look.

Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl

CoRR, 2018

Logical Rule Induction and Theory Learning Using Neural Theorem Proving.

Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel

CoRR, 2018