Tejas Kulkarni

27 papers A* 4A 2Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Full-Scale GPU-Accelerated Transient EM-Thermal-Mechanical Co-Simulation for Early-Stage Design of Advanced Packages. CoRR Hongyang Liu, Tejas Kulkarni, Ganesh Subbarayan, Cheng-Kok Koh, Dan Jiao
2023	J	`jnl`	Practical Differentially Private Hyperparameter Tuning with Subsampling. CoRR Antti Koskela, Tejas Kulkarni
2021	J	`jnl`	Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. Graham Cormode, Tejas Kulkarni, Divesh Srivastava
2021	A*	`conf`	Differentially Private Bayesian Inference for Generalized Linear Models. ICML Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
2021	J	`jnl`	Locally Differentially Private Bayesian Inference. CoRR Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela
2021	A*	`conf`	Representation Matters: Improving Perception and Exploration for Robotics. ICRA Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2020	J	`jnl`	Differentially Private Bayesian Inference for Generalized Linear Models. CoRR Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
2020	A	`conf`	Private Protocols for U-Statistics in the Local Model and Beyond. AISTATS James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni
2020	J	`jnl`	Representation Matters: Improving Perception and Exploration for Robotics. CoRR Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2019	—	`conf`	Answering Range Queries Under Local Differential Privacy. SIGMOD Conference Tejas Kulkarni
2019	J	`jnl`	Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. Graham Cormode, Tejas Kulkarni, Divesh Srivastava
2019	—	`—`	Efficient estimation of statistical functions while preserving client-side privacy. Tejas Kulkarni
2019	—	`conf`	On the Effects of Mobility Uncertainties on Wireless Communications between Flying Drones in the mmWave/THz Bands. INFOCOM Workshops Zhangyu Guan, Tejas Kulkarni
2019	J	`jnl`	Private Protocols for U-Statistics in the Local Model and Beyond. CoRR James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni
2019	J	`jnl`	Unsupervised Doodling and Painting with Improved SPIRAL. CoRR John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
2018	J	`jnl`	Answering Range Queries Under Local Differential Privacy. CoRR Tejas Kulkarni, Graham Cormode, Divesh Srivastava
2018	A*	`conf`	Constrained Private Mechanisms for Count Data. ICDE Graham Cormode, Tejas Kulkarni, Divesh Srivastava
2018	J	`jnl`	Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
2018	—	`conf`	Marginal Release Under Local Differential Privacy. SIGMOD Conference Graham Cormode, Tejas Kulkarni, Divesh Srivastava
2018	—	`conf`	Privacy at Scale: Local Differential Privacy in Practice. SIGMOD Conference Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang
2018	A*	`conf`	Synthesizing Programs for Images using Reinforced Adversarial Learning. ICML Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
2018	J	`jnl`	Synthesizing Programs for Images using Reinforced Adversarial Learning. CoRR Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
2017	J	`jnl`	Constrained Differential Privacy for Count Data. CoRR Graham Cormode, Tejas Kulkarni, Divesh Srivastava
2017	J	`jnl`	Marginal Release Under Local Differential Privacy. CoRR Tejas Kulkarni, Graham Cormode, Divesh Srivastava
2016	J	`jnl`	Leader Election in Sparse Dynamic Networks with Churn. Internet Math. John Augustine, Tejas Kulkarni, Sumathi Sivasubramaniam
2015	A	`conf`	Leader Election in Sparse Dynamic Networks with Churn. IPDPS John Augustine, Tejas Kulkarni, Sumathi Sivasubramaniam
2013	—	`conf`	Robust Leader Election in a Fast-Changing World. FOMC John Augustine, Tejas Kulkarni, Paresh Nakhe, Peter Robinson