Rajeev Verma

39 papers A* 1A 3C 2Journal 18Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Detecting Object Tracking Failure via Sequential Hypothesis Testing.
CoRR
Alejandro Monroy Muñoz, Rajeev Verma, Alexander Timans
2026 J jnl
Equity by Design: Fairness-Driven Recommendation in Heterogeneous Two-Sided Markets.
CoRR
Dominykas Seputis, Alexander Timans, Rajeev Verma
2026 J jnl
Incentive Aware AI Regulations: A Credal Characterisation.
CoRR
Anurag Singh, Julian Rodemann, Rajeev Verma, Siu Lun Chau, Krikamol Muandet
2026 J jnl
S-Tiering: A Unified HW/SW Solution for Memory Tiering Based on the Standard CXL Hotness Monitoring Unit.
IEEE Trans. Computers
Seunghak Lee, Wonjae Lee, Hojin Nam, Jehoon Park, Youngshin Park, Heesoo Kim, Junhyeok Im, Jinin So, Raghu Vamsi Krishna Talanki, Praful Ramesh O, Rajeev Verma, Taeksang Song, Wonhwa Shin, Sangjoon Hwang
2025 — conf
A Structured Survey of Anomaly Types and Classification-Based Detection Models in IoT.
IJCCI (3)
Atefeh Gilvari, Ziad Kobti, Narayan C. Kar, Nasrin Tavakoli, Rajeev Verma
2025 — conf
On Calibration in Multi-Distribution Learning.
FAccT
Rajeev Verma, Volker Fischer, Eric T. Nalisnick
2025 A conf
On Continuous Monitoring of Risk Violations under Unknown Shift.
UAI
Alexander Timans, Rajeev Verma, Eric T. Nalisnick, Christian A. Naesseth
2025 J jnl
On Continuous Monitoring of Risk Violations under Unknown Shift.
CoRR
Alexander Timans, Rajeev Verma, Eric T. Nalisnick, Christian A. Naesseth
2025 J jnl
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs.
CoRR
Jakub Podolak, Rajeev Verma
2024 A conf
Learning to Defer to a Population: A Meta-Learning Approach.
AISTATS
Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric T. Nalisnick
2024 J jnl
Learning to Defer to a Population: A Meta-Learning Approach.
CoRR
Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric T. Nalisnick
2024 J jnl
On Calibration in Multi-Distribution Learning.
CoRR
Rajeev Verma, Volker Fischer, Eric T. Nalisnick
2023 — conf
Circularly Polarized Wideband Aperture Antenna for Wireless Communication.
ICCCNT
Rajeev Verma, Srikant Satya Sai, Ajay Kumar Sharma
2023 — conf
Improving Early Detection of Suicide Ideation using Oversampling Methods.
IC3
Rajeev Verma, Avinash Chandra Pandey
2023 A conf
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles.
AISTATS
Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick
2023 — conf
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews.
SIGIR-AP
Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya
2022 A* conf
Calibrated Learning to Defer with One-vs-All Classifiers.
ICML
Rajeev Verma, Eric T. Nalisnick
2022 J jnl
Calibrated Learning to Defer with One-vs-All Classifiers.
CoRR
Rajeev Verma, Eric T. Nalisnick
2022 J jnl
Enablers and Challenges for E-Health Services: A Systematic Literature Review.
Int. J. Electron. Gov. Res.
Ranjani Kumari, Alok Kumar Singh, Rajeev Verma, Abdulla Hamad M. A. Fetais
2022 J jnl
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles.
CoRR
Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick
2022 — conf
The lack of theory is painful: Modeling Harshness in Peer Review Comments.
AACL/IJCNLP (1)
Rajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal
2021 — conf
Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews.
ICONIP (6)
Rajeev Verma, Kartik Shinde, Hardik Arora, Tirthankar Ghosal
2020 — conf
An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal.
ICADL
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2019 — conf
A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes.
JCDL
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya
2019 J jnl
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence.
CoRR
Richard McKinley, Lorenz Grunder, Rik Wepfer, Fabian Aschwanden, Tim Fischer, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner
2019 — conf
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions.
ACL (1)
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya
2019 J jnl
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks.
CoRR
Richard McKinley, Rik Wepfer, Fabian Aschwanden, Lorenz Grunder, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest
2018 J jnl
An AI aid to the editors. Exploring the possibility of an AI assisted article classification system.
CoRR
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2018 — conf
Investigating Impact Features in Editorial Pre-Screening of Research Papers.
JCDL
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2017 J jnl
Fast Software Implementations of Bilinear Pairings.
IEEE Trans. Dependable Secur. Comput.
Reza Azarderakhsh, Dieter Fishbein, Gurleen Grewal, Shi Hu, David Jao, Patrick Longa, Rajeev Verma
2016 C conf
Optimal battery utilization over lifetime for parallel hybrid electric vehicle to maximize fuel economy.
ACC
Chinmaya Patil, Payam Naghshtabrizi, Rajeev Verma, Zhijun Tang, Kandler Smith, Ying Shi
2012 J jnl
Safety Control of Hidden Mode Hybrid Systems.
IEEE Trans. Autom. Control.
Rajeev Verma, Domitilla Del Vecchio
2011 — conf
Control of Hidden Mode Hybrid Systems: Algorithm termination.
ITSC
Rajeev Verma, Domitilla Del Vecchio
2011 — conf
Development and experimental validation of a semi-autonomous cooperative active safety system.
CDC/ECC
Rajeev Verma, Domitilla Del Vecchio
2011 J jnl
Semiautonomous Multivehicle Safety.
IEEE Robotics Autom. Mag.
Rajeev Verma, Domitilla Del Vecchio
2010 — conf
Control of hybrid automata with hidden modes: Translation to a perfect state information problem.
CDC
Rajeev Verma, Domitilla Del Vecchio
2009 C conf
A separation principle for a class of hybrid automata on a partial order.
ACC
Domitilla Del Vecchio, Michael Malisoff, Rajeev Verma
2009 — conf
Continuous control of hybrid automata with imperfect mode information assuming separation between state estimation and control.
CDC
Rajeev Verma, Domitilla Del Vecchio
2006 J jnl
Gas turbine diagnostics using a soft computing approach.
Appl. Math. Comput.
Rajeev Verma, Niranjan Roy, Ranjan Ganguli