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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75 results for Amit Dhurandhar

Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- - Naiyu Yin
  - Hanjing Wang
  - et al.
- 2023
- NeurIPS 2023
Accurate Multi-Endpoint Molecular Toxicity Predictions in Humans with Contrastive Explanations
- - Bhanushee Sharma
  - Vijil Vijil
  - et al.
- 2021
- NeurIPS 2021
Leveraging Adversarial Reprogramming for Novel Structure-constrained Protein Sequence Design
- - Devleena Das
  - Inkit Padhi
  - et al.
- 2021
- NeurIPS 2021
Leveraging Simple Model Predictions for Enhancing its Performance
- - Amit Dhurandhar
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations
- - Bhanushee Sharma
  - Vijil Chenthamarakshan
  - et al.
- 2023
- Scientific Reports
Predicting natural language descriptions of mono-molecular odorants
- - E. Darío Gutiérrez
  - Amit Dhurandhar
  - et al.
- 2018
- Nature Communications
Ranking Large Language Models without Ground Truth
- - Amit Dhurandhar
  - Rahul Nair
  - et al.
- 2024
- ACL 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
- - Amit Dhurandhar
  - Tejaswini Pedapati
  - et al.
- 2024
- ACL 2024
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
- - Q. Vera Liao
  - Yunfeng Zhang
  - et al.
- 2022
- HCOMP 2022
AI Explainability 360: Impact and Design
- - Vijay Arya
  - Rachel K. E. Bellamy
  - et al.
- 2022
- IAAI 2022