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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47 results for Parikshit Ram

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
- - Yunfei Teng
  - Anna Choromanska
  - et al.
- 2022
- ECML PKDD 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
- - Parikshit Ram
- 2022
- AutoML-Conf 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- - Pu Zhao
  - Parikshit Ram
  - et al.
- 2022
- IJCAI 2022
Fruit-fly Inspired Neighborhood Encoding for Classification
- - Kaushik Sinha
  - Parikshit Ram
- 2021
- KDD 2021
Survey on Automated End-to-End Data Science?
- - Djallel Bouneffouf
  - Charu Aggarwal
  - et al.
- 2020
- IJCNN 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
- - Dakuo Wang
  - Justin Weisz
  - et al.
- 2019
- CSCW 2019
Revisiting kd-tree for nearest neighbor search
- - Parikshit Ram
  - Kaushik Sinha
- 2019
- KDD 2019
Robust Multi-objective Bilevel Optimization With Applications In Machine Learning
- - Alex Gu
  - Songtao Lu
  - et al.
- 2022
- INFORMS 2022
Distributed AutoML Pipeline Search in PC/RasPi K8s Cluster
- - Paulito Palmes
  - Akihiro Kishimoto
  - et al.
- 2022
- JuliaCon 2022
Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- - Dharmashankar Subramanian
  - Segev Wasserkrug
  - et al.
- 2021
- INFORMS 2021