Tejas Kulkarni

About Tejas Kulkarni

Tejas Kulkarni, With an exceptional h-index of 21 and a recent h-index of 18 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Neural Networks, Computer Vision, Artificial Intelligence, Reinforcement Learning.

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

Practical differentially private hyperparameter tuning with subsampling

Unsupervised learning of object keypoint locations in images through temporal transport or spatio-temporal transport

Baseline characteristics and clinical outcomes in patients with Idiopathic Pulmonary Fibrosis (IPF) by autoantibody status: an exploratory analysis from the ASCEND study

Post-hoc analysis of clinical characteristics and outcomes in patients with idiopathic pulmonary fibrosis (IPF) by elevated autoantibody (AAb) status

HD 219134 Revisited: Planet d Transit Upper Limit and Planet f Transit Nondetection with ASTERIA and TESS

Implementation of Braille Tab

Locally differentially private Bayesian inference

Generative neural network systems for generating instruction sequences to control an agent performing a task

Tejas Kulkarni Information

University

Position

DeepMind

Citations(all)

4955

Citations(since 2020)

3536

Cited By

3048

hIndex(all)

21

hIndex(since 2020)

18

i10Index(all)

27

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Tejas Kulkarni Skills & Research Interests

Neural Networks

Computer Vision

Artificial Intelligence

Reinforcement Learning

Top articles of Tejas Kulkarni

Title

Journal

Author(s)

Publication Date

Practical differentially private hyperparameter tuning with subsampling

Advances in Neural Information Processing Systems

Antti Koskela

Tejas D Kulkarni

2024/2/13

Unsupervised learning of object keypoint locations in images through temporal transport or spatio-temporal transport

2022/7/7

Baseline characteristics and clinical outcomes in patients with Idiopathic Pulmonary Fibrosis (IPF) by autoantibody status: an exploratory analysis from the ASCEND study

Am J Respir Crit Care Med

Tejaswini Kulkarni

C Newton

Sachin Gupta

Jinnie Ko

Katerina Samara

...

2022/5/1

Post-hoc analysis of clinical characteristics and outcomes in patients with idiopathic pulmonary fibrosis (IPF) by elevated autoantibody (AAb) status

C Newton

Tejaswini Kulkarni

Katerina Samara

Jinnie Ko

Sachin Gupta

...

2022/9/4

HD 219134 Revisited: Planet d Transit Upper Limit and Planet f Transit Nondetection with ASTERIA and TESS

The Astronomical Journal

Sara Seager

Mary Knapp

Brice-Olivier Demory

Akshata Krishnamurthy

Chelsea X Huang

...

2021/2/12

Implementation of Braille Tab

Tejas Kulkarni

Shikha Jha

Sunny Gupta

Anuja Gote

2021

Locally differentially private Bayesian inference

arXiv preprint arXiv:2110.14426

Tejas Kulkarni

Joonas Jälkö

Samuel Kaski

Antti Honkela

2021/10/27

Generative neural network systems for generating instruction sequences to control an agent performing a task

2021/9/2

Differentially private Bayesian inference for generalized linear models

Tejas Kulkarni

Joonas Jälkö

Antti Koskela

Samuel Kaski

Antti Honkela

2021/7/1

Representation matters: Improving perception and exploration for robotics

Markus Wulfmeier

Arunkumar Byravan

Tim Hertweck

Irina Higgins

Ankush Gupta

...

2020/5/30

Reinforcement learning neural networks grounded in learned visual entities

2020/8/18

Private protocols for U-statistics in the local model and beyond

James Bell

Aurélien Bellet

Adrià Gascón

Tejas Kulkarni

2020/6/3

See List of Professors in Tejas Kulkarni University(Massachusetts Institute of Technology)

Co-Authors

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