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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On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- - Shuai Zhang
  - Hongkang Li
  - et al.
- 2023
- NeurIPS 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2023
- NeurIPS 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
- - Qinyi Chen
  - Negin Golrezaei
  - et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- - Ilze Amanda Auzina
  - Cagatay Yildiz
  - et al.
- 2023
- NeurIPS 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- - Fan Feng
  - Sara Magliacane
- 2023
- NeurIPS 2023
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
- - Hsiao-yu Tung
  - Mingyu Ding
  - et al.
- 2023
- NeurIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
- - Ankit Vishnubhotla
  - Charlotte Loh
  - et al.
- 2023
- NeurIPS 2023
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
- - Quan Xiao
  - Songtao Lu
  - et al.
- 2023
- NeurIPS 2023
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- - Shengcao Cao
  - Dhiraj Joshi
  - et al.
- 2023
- NeurIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- - Giorgio Giannone
  - Akash Srivastava
  - et al.
- 2023
- NeurIPS 2023