Accelerating SVM on Ultra Low Power ASIP for High Throughput Streaming Applications. - Anmol Gupta; Ashutosh Pal (VLSID, 2015)

Hardware Performance Counters Can Detect Malware: Myth or Fact? - Boyou Zhou; Anmol Gupta; Rasoul Jahanshahi; Manuel Egele; Ajay Joshi (AsiaCCS, 2018)

Influencing Opinion Dynamics in Networks with Limited Interaction. - Anmol Gupta; Sharayu Moharir; Neeraja Sahasrabudhe (CoRR, 2020)

Multi-Task Learning with Cross Attention for Keyword Spotting. - Takuya Higuchi; Anmol Gupta; Chandra Dhir (ASRU, 2021)

Influencing Opinions of Heterogeneous Populations over Finite Time Horizons. - Arunabh Saxena; Bhumesh Kumar; Anmol Gupta; Neeraja Sahasrabudhe; Sharayu Moharir (COMSNETS, 2021)

Evaluation of Instance-Based Learning and Q-Learning Algorithms in Dynamic Environments. - Anmol Gupta; Partha Pratim Roy 001; Varun Dutt (IEEE Access, 2021)

Closed-Form Analytical Formulation for Riemann-Liouville-Based Fractional-Order Digital Differentiator Using Fractional Sample Delay Interpolation. - Anmol Gupta; Sanjay Kumar 003 (Circuits Syst. Signal Process., 2021)

A Cautionary Tale About Detecting Malware Using Hardware Performance Counters and Machine Learning. - Boyou Zhou; Anmol Gupta; Rasoul Jahanshahi; Manuel Egele; Ajay Joshi (IEEE Des. Test, 2021)

Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning. - Anmol Gupta; Gourav Siddhad; Vishal Pandey; Partha Pratim Roy 001; Byung-Gyu Kim (Sensors, 2021)

Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. - Tristan Thrush; Kushal Tirumala; Anmol Gupta; Max Bartolo; Pedro Rodriguez 001; Tariq Kane; William Gaviria Rojas; Peter Mattson; Adina Williams; Douwe Kiela (ACL (demo), 2022)

Improving Voice Trigger Detection with Metric Learning. - Prateeth Nayak; Takuya Higuchi; Anmol Gupta; Shivesh Ranjan; Stephen Shum; Siddharth Sigtia; Erik Marchi; Varun Lakshminarasimhan; Minsik Cho; Saurabh Adya; Chandra Dhir; Ahmed H. Tewfik (INTERSPEECH, 2022)

Efficacy of Transformer Networks for Classification of Raw EEG Data. - Gourav Siddhad; Anmol Gupta; Debi Prosad Dogra; Partha Pratim Roy 001 (CoRR, 2022)

Design of Mittag-Leffler Kernel-Based Fractional-Order Digital Filter Using Fractional Delay Interpolation. - Anmol Gupta; Sanjay Kumar 003 (Circuits Syst. Signal Process., 2022)

Generalized framework for the design of adaptive fractional-order masks for image denoising. - Anmol Gupta; Sanjay Kumar 003 (Digit. Signal Process., 2022)

A review of different ECG classification/detection techniques for improved medical applications. - Varun Gupta; Nitin Kumar Saxena; Abhas Kanungo; Anmol Gupta; Parvin Kumar; Salim (Int. J. Syst. Assur. Eng. Manag., 2022)

TSPP: A Unified Benchmarking Tool for Time-series Forecasting. - Jan Baczek; Dmytro Zhylko; Gilberto Titericz; Sajad Darabi; Jean-Francois Puget; Izzy Putterman; Dawid Majchrowski; Anmol Gupta; Kyle Kranen; Pawel M. Morkisz (CoRR, 2023)

Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning. - Anmol Gupta; Ronnie Daniel; Akash K. Rao; Partha Pratim Roy 001; Sushil Chandra; Byung-Gyu Kim (Big Data, 2023)

Knowledge-Based Recommendation for Subject Allocation Using Artificial Neural Network in Higher Education. - Nitin Kumar Saxena; Bhavesh Kumar Chauhan; Sonia Gouri; Ashwani Kumar; Anmol Gupta (IEEE Trans. Educ., 2023)

Efficacy of transformer networks for classification of EEG data. - Gourav Siddhad; Anmol Gupta; Debi Prosad Dogra; Partha Pratim Roy 001 (Biomed. Signal Process. Control., 2024)

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects. - Anmol Gupta; Weiwei Gu; Omkar Patil; Jun Ki Lee; Nakul Gopalan (CoRR, 2025)