Spring 2026 Schedule

Note: Undergraduate Students should volunteer to sign up in the Google Sheet above to present a paper during the designated week.

Related Paper List

Part 1: Learned OS Overview and Classic ML

• On a Foundation Model for Operating Systems

• https://github.com/daturkel/learning-papers

• Playing atari with deep reinforcement learning

• Lora: Low-rank adaptation of large language models

Part 2: Trace Generation

• Generating complex, realistic cloud workloads using recurrent neural networks

• Practical gan-based synthetic ip header trace generation using netshare

• Zoom2Net: Constrained Network Telemetry Imputation

• CausalSim

Part 3: Compositional Learning

• Safe neurosymbolic learning with differentiable symbolic execution

Part 4: System Building Blocks

• {CBMM}: Financial Advice for Kernel Memory Managers

• {LinnOS}: Predictability on unpredictable flash storage with a light neural network

Part 5: Applications

• SOL: Safe on-node learning in cloud platforms

• Murphy: Performance diagnosis of distributed cloud applications

• {FIRM}: An intelligent fine-grained resource management framework for {SLO-Oriented} microservices

• Robot operating system 2: Design, architecture, and uses in the wild