Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services
- - Gosia Lazuka
  - Andreea Simona Anghel
  - et al.
- 2024
- SC 2024
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses
- - Vraj Shah
  - Thomas Parashos
  - et al.
- 2024
- VLDB 2024
Latent Space Symmetry Discovery
- - Jianke Yang
  - Nima Dehmamy
  - et al.
- 2024
- ICML 2024
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- - Irene Ko
  - Pin-Yu Chen
  - et al.
- 2024
- ICML 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- - Kai Xu
  - Hong Ge
- 2024
- ICML 2024
Automated Synthesis of Effect Graph Policies for Microservice-Aware Stateful System Call Specialization
- - Will Blair
  - Fred Araujo
  - et al.
- 2024
- S&P 2024
A Practical Near Optimal Deployment of Service Function Chains in Edge-to-Cloud Networks
- - Rasoul Behravesh
  - David Breitgand
  - et al.
- 2024
- INFOCOM 2024
Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- - Chongyu Fan
  - Jiancheng Liu
  - et al.
- 2024
- ICLR 2024