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ORCIDSahil Manchanda
Person information
- affiliation: Indian Institute of Technology Delhi (IITD), Department of Computer Science and Engineering, India
- affiliation (former): Conduent Labs, Bangalore, India
- affiliation (former): Indian Institute of Technology Guwahati (IITG), Department of Computer Science and Engineering, India
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Conference and Workshop Papers
- 2024
[c14]Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu:
Mirage: Model-agnostic Graph Distillation for Graph Classification. ICLR 2024- [c13]Rishi Shah
, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD 2024: 2584-2595 - 2023
- [c12]Sahil Manchanda, Sayan Ranu:
LIMIP: Lifelong Learning to Solve Mixed Integer Programs. AAAI 2023: 9047-9054 - [c11]Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan:
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML 2023: 2431-2451 - [c10]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML 2023: 12165-12181 - [c9]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur:
Generative Modeling of Labeled Graphs Under Data Scarcity. LoG 2023: 32 - 2022
- [c8]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI 2022: 6819-6828 - [c7]Sahil Manchanda, Sofia Michel, Darko Drakulic, Jean-Marc Andreoli:
On the Generalization of Neural Combinatorial Optimization Heuristics. ECML/PKDD (5) 2022: 426-442 - [c6]Sahil Manchanda, Saurabh Bhagwat:
Optum's Submission to WMT22 Biomedical Translation Tasks. WMT 2022: 925-929 - 2021
- [c5]Ravi Kondadadi, Sahil Manchanda, Jason Ngo, Ronan McCormack:
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning. BioNLP@NAACL-HLT 2021: 280-284 - [c4]Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu:
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks. NeurIPS 2021: 22070-22082 - 2020
- [c3]Sahil Manchanda, Galina Grunin:
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise. EAMT 2020: 255-261 - [c2]Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS 2020 - 2017
- [c1]Sahil Manchanda, Ashish Anand:
Representation Learning of Drug and Disease Terms for Drug Repositioning. CYBCONF 2017: 1-6
Informal and Other Publications
- 2024
- [i12]Sahil Manchanda, Dana Kianfar, Markus Peschl, Romain Lepert, Michaël Defferrard:
NeuroSteiner: A Graph Transformer for Wirelength Estimation. CoRR abs/2407.03792 (2024) - 2023
- [i11]Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan:
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR abs/2301.12477 (2023) - [i10]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR abs/2306.03447 (2023) - [i9]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur:
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR abs/2306.03480 (2023) - [i8]Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu:
Mirage: Model-Agnostic Graph Distillation for Graph Classification. CoRR abs/2310.09486 (2023) - [i7]Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR abs/2310.11787 (2023) - 2022
- [i6]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR abs/2203.03564 (2022) - [i5]Sahil Manchanda, Sofia Michel, Darko Drakulic, Jean-Marc Andreoli:
On the Generalization of Neural Combinatorial Optimization Heuristics. CoRR abs/2206.00787 (2022) - [i4]Sahil Manchanda, Sayan Ranu:
Lifelong Learning for Neural powered Mixed Integer Programming. CoRR abs/2208.12226 (2022) - 2020
- [i3]Sahil Manchanda, Arun Rajkumar, Simarjot Kaur, Narayanan Unny:
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. CoRR abs/2001.03386 (2020) - 2019
- [i2]Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR abs/1903.03332 (2019) - 2017
- [i1]Sahil Manchanda, Ashish Anand:
Representation learning of drug and disease terms for drug repositioning. CoRR abs/1705.05183 (2017)
Coauthor Index
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