Estimation of the orientation and distance of a mirror from Kinect depth data. - Tanwi Mallick; Partha Pratim Das 001; Arun Kumar Majumdar (NCVPRIPG, 2013)

Study of Interference Noise in Multi-Kinect Set-up. - Tanwi Mallick; Partha Pratim Das 001; Arun K. Majumdar (VISAPP (1), 2014)

Robust control of applications by hand-gestures. - Akash Anuj; Tanwi Mallick; Partha Pratim Das 001; Arun Kumar Majumdar (NCVPRIPG, 2015)

Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors. - Tanwi Mallick; Rishabh Agrawal; Partha Pratim Das 001; Arun Kumar Majumdar (VISAPP (3), 2015)

Using Musical Beats to Segment Videos of Bharatanatyam Adavus. - Tanwi Mallick; Akash Anuj; Partha Pratim Das 001; Arun Kumar Majumdar (CVIP (1), 2016)

Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library. - Tanwi Mallick; Palash Goyal; Partha Pratim Das 001; Arun Kumar Majumdar (VISIGRAPP (4: VISAPP), 2016)

Fast Gait Recognition from Kinect Skeletons. - Tanwi Mallick; Ankit Khedia; Partha Pratim Das 001; Arun Kumar Majumdar (VISIGRAPP (3: VISAPP), 2016)

NrityaGuru: A Dance Tutoring System for Bharatanatyam Using Kinect. - Achyuta Aich; Tanwi Mallick; Himadri B. G. S. Bhuyan; Partha Pratim Das 001; Arun Kumar Majumdar (NCVPRIPG, 2017)

Automated Translation of Human Postures from Kinect Data to Labanotation. - Anindhya Sankhla; Vinanti Kalangutkar; Himadri B. G. S. Bhuyan; Tanwi Mallick; Vivek Nautiyal; Partha Pratim Das 001; Arun Kumar Majumdar (NCVPRIPG, 2017)

Characterization, Detection, and Synchronization of Audio-Video Events in Bharatanatyam Adavus. - Tanwi Mallick; Partha Pratim Das 001; Arun Kumar Majumdar (Heritage Preservation, 2018)

Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach. - Tanwi Mallick; Partha Pratim Das 001; Arun Kumar Majumdar (CoRR, 2019)

Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting. - Tanwi Mallick; Prasanna Balaprakash; Eric Rask; Jane MacFarlane (CoRR, 2019)

Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. - Tanwi Mallick; Prasanna Balaprakash; Eric Rask; Jane MacFarlane (ICPR, 2020)

Beat Detection and Automatic Annotation of the Music of Bharatanatyam Dance using Speech Recognition Techniques. - Tanwi Mallick; Partha Pratim Das 001; Arun Kumar Majumdar (CoRR, 2020)

Bharatanatyam Dance Transcription using Multimedia Ontology and Machine Learning. - Tanwi Mallick; Partha Pratim Das 001; Arun Kumar Majumdar (CoRR, 2020)

Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks. - Tanwi Mallick; Mariam Kiran; Bashir Mohammed; Prasanna Balaprakash (CoRR, 2020)

A data-centric weak supervised learning for highway traffic incident detection. - Yixuan Sun; Tanwi Mallick; Prasanna Balaprakash; Jane MacFarlane (CoRR, 2021)

Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting. - Tanwi Mallick; Prasanna Balaprakash; Jane MacFarlane (CoRR, 2022)

Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting. - Weiheng Zhong; Tanwi Mallick; Hadi Meidani; Jane MacFarlane; Prasanna Balaprakash (CoRR, 2022)

Posture and sequence recognition for Bharatanatyam dance performances using machine learning approaches. - Tanwi Mallick; Partha Pratim Das 001; Arun Kumar Majumdar (J. Vis. Commun. Image Represent., 2022)

Graph Pyramid Autoformer for Long- Term Traffic Forecasting. - Weiheng Zhong; Tanwi Mallick; Jane MacFarlane; Hadi Meidani; Prasanna Balaprakash (ICMLA, 2023)

Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach. - Tanwi Mallick; Joshua David Bergerson; Duane R. Verner; John K. Hutchison; Leslie-Anne Levy; Prasanna Balaprakash (CoRR, 2023)

A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios. - Yangxinyu Xie; Tanwi Mallick (CoRR, 2023)

Welcome Message from LLMxHPC Workshop. - Kevin A. Brown; Tanwi Mallick; Juliane Mueller 002; Aleksandr Drozd (CLUSTER Workshops, 2024)

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. - Bowen Jiang; Yangxinyu Xie; Zhuoqun Hao; Xiaomeng Wang 002; Tanwi Mallick; Weijie Su 001; Camillo J. Taylor; Dan Roth 001 (EMNLP, 2024)

Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting. - Qipeng Qian; Tanwi Mallick (ICASSP, 2024)

IPDPS 2024 PhD Forum. - Sanmukh Kuppannagari; Tanwi Mallick (IPDPS (Workshops), 2024)

Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. - Xiongxiao Xu; Kevin A. Brown; Tanwi Mallick; Xin Wang 115; Elkin Cruz-Camacho; Robert B. Ross; Christopher D. Carothers; Zhiling Lan; Kai Shu (SIGSIM-PADS, 2024)

ChatVis: Automating Scientific Visualization with a Large Language Model. - Tanwi Mallick; Orcun Yildiz; David Lenz 002; Tom Peterka (SC Workshops, 2024)

Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques. - Tanwi Mallick; John Murphy; Joshua David Bergerson; Duane R. Verner; John K. Hutchison; Leslie-Anne Levy (CoRR, 2024)

WildfireGPT: Tailored Large Language Model for Wildfire Analysis. - Yangxinyu Xie; Tanwi Mallick; Joshua David Bergerson; John K. Hutchison; Duane R. Verner; Jordan Branham; M. Ross Alexander; Robert B. Ross; Yan Feng; Leslie-Anne Levy; Weijie J. Su (CoRR, 2024)

Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey. - Bowen Jiang; Yangxinyu Xie; Xiaomeng Wang 002; Weijie J. Su; Camillo J. Taylor; Tanwi Mallick (CoRR, 2024)

Debiasing Watermarks for Large Language Models via Maximal Coupling. - Yangxinyu Xie; Xiang Li; Tanwi Mallick; Weijie J. Su; Ruixun Zhang (CoRR, 2024)

Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks. - Tanwi Mallick; Jane MacFarlane; Prasanna Balaprakash (IEEE Trans. Intell. Transp. Syst., 2024)

Towards Rationality in Language and Multimodal Agents: A Survey. - Bowen Jiang; Yangxinyu Xie; Xiaomeng Wang 002; Yuan Yuan; Zhuoqun Hao; Xinyi Bai; Weijie J. Su; Camillo Jose Taylor; Tanwi Mallick (NAACL (Long Papers), 2025)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - Franck Cappello; Sandeep Madireddy; Robert Underwood; Neil Getty; Nicholas Lee-Ping Chia; Nesar Ramachandra; Josh Nguyen; Murat Keçeli; Tanwi Mallick; Zilinghan Li; Marieme Ngom; Chenhui Zhang; et al. (CoRR, 2025)

Information Retrieval for Climate Impact. - Maarten de Rijke; Bart Van den Hurk; Flora Salim; Alaa Al Khourdajie; Nan Bai; Renato Calzone; Declan J. Curran; Getnet Demil; Lesley Frew; Noah Gießing; Mukesh Kumar Gupta; Maria Heuss; et al. (CoRR, 2025)

A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation. - Yangxinyu Xie; Bowen Jiang; Tanwi Mallick; Joshua David Bergerson; John K. Hutchison; Duane R. Verner; Jordan Branham; M. Ross Alexander; Robert B. Ross; Yan Feng; Leslie-Anne Levy; Weijie Su 001; et al. (CoRR, 2025)

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? - Bowen Jiang; Yangxinyu Xie; Xiaomeng Wang 002; Jiashu He; Joshua David Bergerson; John K. Hutchison; Jordan Branham; Camillo J. Taylor; Tanwi Mallick (CoRR, 2025)

Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data. - Akash Dhruv; Yangxinyu Xie; Jordan Branham; Tanwi Mallick (CoRR, 2025)

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. - Seth Ockerman; Amal Gueroudji; Tanwi Mallick; Yixuan He; Line Pouchard; Robert B. Ross; Shivaram Venkataraman (CoRR, 2025)

ChatVis: Large Language Model Agent for Generating Scientific Visualizations. - Tom Peterka; Tanwi Mallick; Orcun Yildiz; David Lenz 002; Cory Quammen; Berk Geveci (CoRR, 2025)