Parallel Unstructured Dynamic Grid Direct Monte Carlo Simulation of Molecular Gas Dynamics and Its Applications. - Abhinav Singh; Yong Zhao 001 (J. Sci. Comput., 2001)

Incremental Mutual Information: A New Method for Characterizing the Strength and Dynamics of Connections in Neuronal Circuits. - Abhinav Singh; Nicholas A. Lesica (PLoS Comput. Biol., 2010)

An Approach to Generate Actor-Oriented Activity Charts from Use Case Requirements. - Saurabh Tiwari 001; Santosh Singh Rathore; Abhijeet Singh; Abhinav Singh; Atul Gupta (APSEC, 2012)

Finding communities in sparse networks. - Abhinav Singh; Mark D. Humphries (CoRR, 2015)

Mobility and Energy Conscious Clustering Protocol for Wireless Networks. - Abhinav Singh; Awadhesh Kumar Singh (CoRR, 2015)

Using Learning Styles of Software Professionals to Improve Their Inspection Team Performance. - Anurag Goswami; Gursimran Singh Walia; Abhinav Singh (Int. J. Softw. Eng. Knowl. Eng., 2015)

Knowledge discovery of game design features by mining user-generated feedback. - Ajay Karthic B. Gopinath Bharathi; Abhinav Singh; Conrad S. Tucker; Harriet Black Nembhard (Comput. Hum. Behav., 2016)

A machine learning approach to product review disambiguation based on function, form and behavior classification. - Abhinav Singh; Conrad S. Tucker (Decis. Support Syst., 2017)

Perforated Bluff-Body Wake Simulations: Influence of Aspect Ratio. - Abhinav Singh; Vagesh D. Narasimhamurthy (HiPC Workshops, 2018)

Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. - J. Edward Hu; Abhinav Singh; Nils Holzenberger; Matt Post; Benjamin Van Durme (CoNLL, 2019)

A Reaction Network Scheme Which Implements Inference and Learning for Hidden Markov Models. - Abhinav Singh; Carsten Wiuf; Abhishek Behera; Manoj Gopalkrishnan (DNA, 2019)

Spectral rejection for testing hypotheses of structure in networks. - Mark D. Humphries; Javier A. Caballero; Mat Evans; Silvia Maggi; Abhinav Singh (CoRR, 2019)

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. - Abhinav Singh; Patrick Xia 002; Guanghui Qin; Mahsa Yarmohammadi; Benjamin Van Durme (SPNLP@EMNLP, 2020)

Mesh-free collocation for surface differential operators. - Abhinav Singh; Alejandra Foggia; Pietro Incardona; Ivo F. Sbalzarini (CoRR, 2022)

Some inferences on reliability measures of two-non-identical units cold standby system waiting for repair. - Rohit Patawa; Pramendra Singh Pundir; Alok Kumar Sigh; Abhinav Singh (Int. J. Syst. Assur. Eng. Manag., 2022)

Infant Hip Screening Using Multi-Class Ultrasound Scan Segmentation. - Andrew Stamper; Abhinav Singh; James McCouat; Irina Voiculescu (ISBI, 2023)

A Distributed Algebra System for Time Integration on Parallel Computers. - Abhinav Singh; Landfried Kraatz; Pietro Incardona; Ivo F. Sbalzarini (CoRR, 2023)

Efficient and Scalable Simulations of Active Hydrodynamics in Three Dimensions - Abhinav Singh (2023)

Effiziente und skalierbare Simulationen aktiver Hydrodynamik in drei Dimensionen. - Abhinav Singh (Ausgezeichnete Informatikdissertationen, 2023)

A Meshfree Collocation Scheme for Surface Differential Operators on Point Clouds. - Abhinav Singh; Alejandra Foggia; Pietro Incardona; Ivo F. Sbalzarini (J. Sci. Comput., 2023)

Landmark-Based Screening: Femoral Head Coverage and Graf Classification in Infant Developmental Dysplasia of the Hip. - Allison Clement; Abhinav Singh; Irina Voiculescu (ECCV Workshops (22), 2024)

Improving Automated Ultrasound Infant Hip Screening Using an Integrated Clinical Classification Loss. - Allison Clement; Abhinav Singh; Daniel C. Perry; Irina Voiculescu (MIUA (2), 2024)

Acoustic Signal Processing and Communications: Topic Modeling of Scopus Abstracts from 2010 till 2024. - Navita Malik; Abhinav Singh; Ashok Kumar (WPMC, 2024)

Knowledge management and ethical vulnerability in AI. - Aanchal Sethi; Tushar Tangri; Divyansh Puri; Abhinav Singh; Kashish Agrawal (AI Ethics, 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Controlling Topological Defects in Polar Fluids via Reinforcement Learning. - Abhinav Singh; Petros Koumoutsakos (CoRR, 2025)