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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9 results at UAI 2023

Interpretable Differencing of Machine Learning Models
- - Swagatam Haldar
  - Diptikalyan Saha
  - et al.
- 2023
- UAI 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
- - Tengfei Ma
  - Trong Nghia Hoang
  - et al.
- 2023
- UAI 2023
Pessimistic Model Selection for Deep Reinforcement Learning
- - Chao-Han Huck Yang
  - Zhengling Qi
  - et al.
- 2023
- UAI 2023
FLASH: Automating Federated Learning using CASH
- - Md Ibrahim Ibne Alam
  - Koushik Kar
  - et al.
- 2023
- UAI 2023
Aligned Diffusion Schrödinger Bridges
- - Vignesh Ram Somnath
  - Maria Rodriguez Martinez
  - et al.
- 2023
- UAI 2023
Information Theoretic Clustering via Divergence Maximization among Clusters
- - Sahil Garg
  - Mina Dalirrooyfard
  - et al.
- 2023
- UAI 2023
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO
- - Bobak Pezeshki
  - Radu Marinescu
  - et al.
- 2023
- UAI 2023
BISCUIT: Causal Representation Learning from Binary Interactions
- - Phillip Lippe
  - Sara Magliacane
  - et al.
- 2023
- UAI 2023
Can We Evaluate Causal Structures Using Graph Neural Networks?
- - Abi Langbridge
  - Fearghal O'Donncha
  - et al.
- 2023
- UAI 2023