Abhishek Kulkarni

41 papers A* 2A 5B 5Misc 2Journal 13Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Designing AI Tutors for Interest-Based Learning: Insights from Human Instructors.
CoRR
Abhishek Kulkarni, Sharon Lynn Chu
2026 J jnl
E3VA: Enhancing Emotional Expressiveness in Virtual Conversational Agents.
CoRR
Abhishek Kulkarni, Alexander Barquero, Pavitra Lahari, Aryaan Shaikh, Sarah Brown
2026 B conf
Making Connections: Understanding How Students Enact Interdisciplinary Linkages in Computational Making for Learning Science in the Classroom.
TEI
Abhishek Kulkarni, Marcin Karcz, Sharon Lynn Chu
2026 J jnl
Semi-automatic geometrical reconstruction and analysis of filopodia dynamics in 4D two-photon microscopy images.
BMC Bioinform.
Blaz Brence, Josephine Brummer, Vincent J. Dercksen, Mehmet Neset Özel, Abhishek Kulkarni, Neele Wolterhoff, Steffen Prohaska, Peter Robin Hiesinger, Daniel Baum
2025 J jnl
Deploying computation-based Making projects in authentic public school classrooms at scale: Lessons learned.
Int. J. Child Comput. Interact.
Abhishek Kulkarni, David Magda, Rebecca Ward, Yerika Jimenez, Monica Hernandez, Ting Liu, Christina Gardner-McCune, Francis K. H. Quek, Rebecca J. Schlegel, Sharon Lynn Chu
2025 A conf
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
RecSys
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
CoRR
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
Knowledge-based Context-aware Group Recommender System for Point of Interest recommendation.
Decis. Support Syst.
Nargis Pervin, Abhishek Kulkarni, Ayush Adarsh, Shreya Som
2025 B conf
Situated Cognition in Educational Mobile Apps: Does Physical Situatedness Help Learning?
ICALT
Abhishek Kulkarni, Cecelia Albright, Sharon Lynn Chu
2024 — conf
From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations.
ICDM (Workshops)
Abhishek Kulkarni, Sumit Kumar Dutta, Sivaram Prasad Mudunuri, Kamiya Motwani, Rahul Ghosh
2024 — conf
Investigating Situated Learning Theory Through an Augmented Reality Mobile Assistant for Everyday STEM Learning.
VR Workshops
Abhishek Kulkarni, Cecelia Albright, Pratik Kamble, Sharon Lynn Chu
2024 A* conf
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents.
ICAPS
Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov
2024 J jnl
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents.
CoRR
Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov
2024 — conf
The Integration of Computational Thinking and Making in the Classroom.
SIGCSE (1)
David Magda, Christina Gardner-McCune, Yerika Jimenez, Sharon Lynn Chu, Abhishek Kulkarni
2024 B conf
Towards Lesson Planning Interfaces for Integration of Students' Out-of-Classroom Experiences.
ICALT
Abhishek Kulkarni, Shaina Murphy, Cecelia Albright, Sharon Lynn Chu
2023 A* conf
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents.
ICAPS
Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov
2023 J jnl
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents.
CoRR
Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov
2023 — conf
Everyday-Inspired Movies: Towards the Design of Movie Recommender Systems based on Everyday Life through Personal Social Media.
INTERACT (3)
Abhishek Kulkarni, Larry Powell, Shaina Murphy, Nanjie Rao, Sharon Lynn Chu
2023 B conf
Supporting End-to-End Coding and Use of Arduinos in a Formal Classroom Environment.
VL/HCC
David Magda, Christina Gardner-McCune, Abhishek Kulkarni, Yerika Jimenez, Sharon Lynn Chu
2023 — conf
Towards an Adaptable Curriculum-Driven Block-based Learning Environment.
SIGCSE (2)
Christina Gardner-McCune, Yerika Jimenez, David Magda, Abhishek Kulkarni, Sharon Lynn Chu
2022 — conf
Resilient and Reliable Communication for First Responders with Ad-Hoc Network and MPTCP.
NaNA
Yue Cui, Alvin Lim, Yufei Yan, Abhishek Kulkarni, Tianhang Lan
2021 — conf
Predictive data locality optimization for higher-order tensor computations.
MAPS@PLDI
Tharindu Rusira Patabandi, Anand Venkat, Abhishek Kulkarni, Pushkar Ratnalikar, Mary W. Hall, Justin Gottschlich
2019 J jnl
A Comparative Study of Asynchronous Many-Tasking Runtimes: Cilk, Charm++, ParalleX and AM++.
CoRR
Abhishek Kulkarni, Andrew Lumsdaine
2019 B conf
Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix.
ITW
Chaitanya Chinni, Abhishek Kulkarni, Dheeraj M. Pai, Kaushik Mitra, Pradeep Kiran Sarvepalli
2019 J jnl
Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix.
CoRR
Chaitanya Chinni, Abhishek Kulkarni, Dheeraj M. Pai, Kaushik Mitra, Pradeep Kiran Sarvepalli
2019 — conf
Preliminary Study on Indoor Localization using Smartphone-Based IEEE 802.11mc.
CoNEXT Companion
Abhishek Kulkarni, Alvin Lim
2018 J jnl
Efficiently decoding the 3D toric codes and welded codes on cubic lattices.
CoRR
Abhishek Kulkarni, Pradeep Kiran Sarvepalli
2016 J jnl
Exploring the Design Tradeoffs for Extreme-Scale High-Performance Computing System Software.
IEEE Trans. Parallel Distributed Syst.
Ke Wang, Abhishek Kulkarni, Michael Lang, Dorian C. Arnold, Ioan Raicu
2016 A conf
Network-Managed Virtual Global Address Space for Message-driven Runtimes.
HPDC
Abhishek Kulkarni, Luke Dalessandro, Ezra Kissel, Andrew Lumsdaine, Thomas L. Sterling, D. Martin Swany
2015 — conf
Concurrent Cilk: Lazy Promotion from Tasks to Threads in C/C++.
LCPC
Christopher S. Zakian, Timothy A. K. Zakian, Abhishek Kulkarni, Buddhika Chamith, Ryan R. Newton
2015 Misc conf
Dynamic Adaptation for Elastic System Services Using Virtual Servers.
HiPC
Abhishek Kulkarni, Hugh Greenberg, Michael Lang, Andrew Lumsdaine
2015 A conf
Efficient communication and collection with compact normal forms.
ICFP
Edward Z. Yang, Giovanni Campagna, Ömer S. Agacan, Ahmed El-Hassany, Abhishek Kulkarni, Ryan R. Newton
2014 — conf
Towards Exascale Co-design in a Runtime System.
EASC
Thomas L. Sterling, Matthew Anderson, P. Kevin Bohan, Maciej Brodowicz, Abhishek Kulkarni, Bo Zhang
2013 — conf
Embrace, defend, extend: a methodology for embedding preexisting DSLs.
FPCDSL@ICFP
Abhishek Kulkarni, Ryan R. Newton
2013 J jnl
Optimizing process creation and execution on multi-core architectures.
Int. J. High Perform. Comput. Appl.
Abhishek Kulkarni, Latchesar Ionkov, Michael Lang, Andrew Lumsdaine
2013 — conf
Performance Modeling of Gyrokinetic Toroidal Simulations for a Many-Tasking Runtime System.
PMBS@SC
Matthew Anderson, Maciej Brodowicz, Abhishek Kulkarni, Thomas L. Sterling
2013 A conf
Using simulation to explore distributed key-value stores for extreme-scale system services.
SC
Ke Wang, Abhishek Kulkarni, Michael Lang, Dorian C. Arnold, Ioan Raicu
2012 A conf
A meta-scheduler for the par-monad: composable scheduling for the heterogeneous cloud.
ICFP
Adam Foltzer, Abhishek Kulkarni, Rebecca Swords, Sajith Sasidharan, Eric Jiang, Ryan Newton
2012 — conf
Optimizing latency and throughput for spawning processes on massively multicore processors.
ROSS@ICS
Abhishek Kulkarni, Andrew Lumsdaine, Michael Lang, Latchesar Ionkov
2012 Misc conf
The design and implementation of a multi-level content-addressable checkpoint file system.
HiPC
Abhishek Kulkarni, Adam Manzanares, Latchesar Ionkov, Michael Lang, Andrew Lumsdaine
2008 — conf
Stateless Clustering Using OSCAR and PERCEUS.
HPCS
Abhishek Kulkarni, Andrew Lumsdaine