Chinmay Hegde

Chinmay Hegde

New York University

H-index: 30

North America-United States

About Chinmay Hegde

Chinmay Hegde, With an exceptional h-index of 30 and a recent h-index of 25 (since 2020), a distinguished researcher at New York University, specializes in the field of Machine Learning, Algorithms, Signal Processing, Materials Design, Transportation.

His recent articles reflect a diverse array of research interests and contributions to the field:

NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Robust Concept Erasure Using Task Vectors

When do neural nets outperform boosted trees on tabular data?

Identity-Aware Facial Age Editing Using Latent Diffusion

Vision-language models can identify distracted driver behavior from naturalistic videos

ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models

Neural PDE solvers for irregular domains

Chinmay Hegde Information

University

Position

Assistant Professor

Citations(all)

5535

Citations(since 2020)

2590

Cited By

3952

hIndex(all)

30

hIndex(since 2020)

25

i10Index(all)

73

i10Index(since 2020)

54

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Chinmay Hegde Skills & Research Interests

Machine Learning

Algorithms

Signal Processing

Materials Design

Transportation

Top articles of Chinmay Hegde

Title

Journal

Author(s)

Publication Date

NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs

Engineering with Computers

Biswajit Khara

Aditya Balu

Ameya Joshi

Soumik Sarkar

Chinmay Hegde

...

2024/4/10

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

arXiv preprint arXiv:2402.11137

Benjamin Feuer

Robin Tibor Schirrmeister

Valeriia Cherepanova

Chinmay Hegde

Frank Hutter

...

2024/2/17

Robust Concept Erasure Using Task Vectors

arXiv preprint arXiv:2404.03631

Minh Pham

Kelly O Marshall

Chinmay Hegde

Niv Cohen

2024/4/4

When do neural nets outperform boosted trees on tabular data?

Advances in Neural Information Processing Systems (NeurIPS)

Duncan McElfresh

Sujay Khandagale

Jonathan Valverde

Ganesh Ramakrishnan

Micah Goldblum

...

2023

Identity-Aware Facial Age Editing Using Latent Diffusion

IEEE Transactions on Biometrics, Behavior, and Identity Science

Sudipta Banerjee

Govind Mittal

Ameya Joshi

Sai Pranaswi Mullangi

Chinmay Hegde

...

2024/4/18

Vision-language models can identify distracted driver behavior from naturalistic videos

IEEE Transactions on Intelligent Transportation Systems

Md Zahid Hasan

Jiajing Chen

Jiyang Wang

Mohammed Shaiqur Rahman

Ameya Joshi

...

2024/4/4

ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models

arXiv preprint arXiv:2310.18208

Benjamin Feuer

Yurong Liu

Chinmay Hegde

Juliana Freire

2023/10/27

Neural PDE solvers for irregular domains

Computer-Aided Design

Biswajit Khara

Ethan Herron

Aditya Balu

Dhruv Gamdha

Chih-Hsuan Yang

...

2024/4/14

Mitigating the Impact of Attribute Editing on Face Recognition

arXiv preprint arXiv:2403.08092

Sudipta Banerjee

Sai Pranaswi Mullangi

Shruti Wagle

Chinmay Hegde

Nasir Memon

2024/3/12

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models

arXiv preprint arXiv:2404.08079

Nastaran Saadati

Minh Pham

Nasla Saleem

Joshua R Waite

Aditya Balu

...

2024/4/11

AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response

arXiv preprint arXiv:2402.18085

Govind Mittal

Arthur Jakobsson

Kelly O Marshall

Chinmay Hegde

Nasir Memon

2024/2/28

Identification of multiple novel genetic mechanisms that regulate chilling tolerance in Arabidopsis

Frontiers in Plant Science

Dipak Kumar Sahoo

Chinmay Hegde

Madan K Bhattacharyya

2023/1/12

On the computational complexity of self-attention

Feyza Duman Keles

Pruthuvi Mahesakya Wijewardena

Chinmay Hegde

2023/2/13

Identity-preserving aging of face images via latent diffusion models

Sudipta Banerjee

Govind Mittal

Ameya Joshi

Chinmay Hegde

Nasir Memon

2023/9/25

On the Computational Complexity of Inverting Generative Models

Feyza Duman Keles

Chinmay Hegde

2023/11/7

Lit tuned models for efficient species detection

arXiv preprint arXiv:2302.10281

Andre Nakkab

Benjamin Feuer

Chinmay Hegde

2023/2/12

On the Fine-Grained Hardness of Inverting Generative Models

arXiv preprint arXiv:2309.05795

Feyza Duman Keles

Chinmay Hegde

2023/9/11

Exploring Dataset-Scale Indicators of Data Quality

arXiv preprint arXiv:2311.04016

Benjamin Feuer

Chinmay Hegde

2023/11/7

Implicit regularization for group sparsity

arXiv preprint arXiv:2301.12540

Jiangyuan Li

Thanh V Nguyen

Chinmay Hegde

Raymond KW Wong

2023/1/29

Towards foundational ai models for additive manufacturing: Language models for g-code debugging, manipulation, and comprehension

arXiv preprint arXiv:2309.02465

Anushrut Jignasu

Kelly Marshall

Baskar Ganapathysubramanian

Aditya Balu

Chinmay Hegde

...

2023/9/4

See List of Professors in Chinmay Hegde University(New York University)

Co-Authors

H-index: 85
Piotr Indyk

Piotr Indyk

Massachusetts Institute of Technology

H-index: 60
Volkan Cevher

Volkan Cevher

École Polytechnique Fédérale de Lausanne

H-index: 51
Baskar Ganapathysubramanian

Baskar Ganapathysubramanian

Iowa State University

H-index: 50
Marco F. Duarte

Marco F. Duarte

University of Massachusetts Amherst

H-index: 45
Ludwig Schmidt

Ludwig Schmidt

University of Washington

H-index: 45
Soumik Sarkar

Soumik Sarkar

Iowa State University

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