Sahil Manchanda

Orcid: 0000-0001-7437-9891

Affiliations:
  • Indian Institute of Technology Delhi (IITD), Department of Computer Science and Engineering, India
  • Conduent Labs, Bangalore, India (former)
  • Indian Institute of Technology Guwahati (IITG), Department of Computer Science and Engineering, India (former)


According to our database1, Sahil Manchanda authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
NeuroSteiner: A Graph Transformer for Wirelength Estimation.
CoRR, 2024

NeuroCut: A Neural Approach for Robust Graph Partitioning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mirage: Model-agnostic Graph Distillation for Graph Classification.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
GSHOT: Few-shot Generative Modeling of Labeled Graphs.
CoRR, 2023

Generative Modeling of Labeled Graphs Under Data Scarcity.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets.
Proceedings of the International Conference on Machine Learning, 2023

StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes.
Proceedings of the International Conference on Machine Learning, 2023

LIMIP: Lifelong Learning to Solve Mixed Integer Programs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Lifelong Learning for Neural powered Mixed Integer Programming.
CoRR, 2022

Optum's Submission to WMT22 Biomedical Translation Tasks.
Proceedings of the Seventh Conference on Machine Translation, 2022

On the Generalization of Neural Combinatorial Optimization Heuristics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems.
CoRR, 2020

GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise.
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

2019
Learning Heuristics over Large Graphs via Deep Reinforcement Learning.
CoRR, 2019

2017
Representation Learning of Drug and Disease Terms for Drug Repositioning.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017


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