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2020 – today
- 2025
[j3]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, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie:
Report on the 1st Workshop on Information Retrieval for Climate Impact (MANILA24) at SIGIR 2024. SIGIR Forum 59(1): 1-23 (2025)- [c21]Amal Gueroudji, Tanwi Mallick, Renan Souza, Rafael Ferreira da Silva, Robert B. Ross, Matthieu Dorier, Philip H. Carns, Kyle Chard, Ian T. Foster:
ControlA: Agentic Workflow Control Mechanisms for Reliable Science. eScience 2025: 415-426 - [c20]Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Yuan Yuan, Zhuoqun Hao, Xinyi Bai, Weijie J. Su, Camillo Jose Taylor, Tanwi Mallick:
Towards Rationality in Language and Multimodal Agents: A Survey. NAACL (Long Papers) 2025: 3656-3675 - [c19]Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman:
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. SC 2025: 217-236 - [c18]Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin:
Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving. SC Workshops 2025: 588-593 - [i28]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, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens:
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR abs/2502.20309 (2025) - [i27]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, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie:
Information Retrieval for Climate Impact. CoRR abs/2504.01162 (2025) - [i26]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, Camillo J. Taylor:
A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation. CoRR abs/2504.17200 (2025) - [i25]Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Jiashu He, Joshua David Bergerson, John K. Hutchison, Jordan Branham, Camillo J. Taylor, Tanwi Mallick:
GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? CoRR abs/2505.10714 (2025) - [i24]Akash Dhruv, Yangxinyu Xie, Jordan Branham, Tanwi Mallick:
Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data. CoRR abs/2505.17116 (2025) - [i23]Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman:
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. CoRR abs/2507.11683 (2025) - [i22]Tom Peterka, Tanwi Mallick, Orcun Yildiz, David Lenz, Cory Quammen, Berk Geveci:
ChatVis: Large Language Model Agent for Generating Scientific Visualizations. CoRR abs/2507.23096 (2025) - [i21]Min-Hsuan Yeh, Yixuan Li, Tanwi Mallick:
LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals. CoRR abs/2509.21875 (2025) - [i20]Siddeshwar Raghavan, Tanwi Mallick:
MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding. CoRR abs/2510.08804 (2025) - [i19]Chih-Hsuan Yang, Tanwi Mallick, Le Chen, Krishnan Raghavan, Azton Wells, Amal Gueroudji, Ian T. Foster, Rajeev Thakur:
Who Gets the Reward, Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents. CoRR abs/2511.10687 (2025) - 2024
- [j2]Tanwi Mallick, Jane MacFarlane, Prasanna Balaprakash:
Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25(8): 9141-9152 (2024) - [c17]Kevin A. Brown, Tanwi Mallick, Juliane Mueller, Aleksandr Drozd:
Welcome Message from LLMxHPC Workshop. CLUSTER Workshops 2024: 1 - [c16]Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie Su, Camillo J. Taylor, Dan Roth:
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. EMNLP 2024: 4722-4756 - [c15]Qipeng Qian, Tanwi Mallick:
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting. ICASSP 2024: 5680-5684 - [c14]Sanmukh Kuppannagari, Tanwi Mallick:
IPDPS 2024 PhD Forum. IPDPS (Workshops) 2024: 1214-1233 - [c13]Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu:
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS 2024: 93-97 - [c12]Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka:
ChatVis: Automating Scientific Visualization with a Large Language Model. SC Workshops 2024: 49-55 - [i18]Qipeng Qian, Tanwi Mallick:
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR abs/2401.06040 (2024) - [i17]Tanwi Mallick, John Murphy, Joshua David Bergerson, Duane R. Verner, John K. Hutchison, Leslie-Anne Levy:
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques. CoRR abs/2401.06817 (2024) - [i16]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:
WildfireGPT: Tailored Large Language Model for Wildfire Analysis. CoRR abs/2402.07877 (2024) - [i15]Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Weijie J. Su, Camillo J. Taylor, Tanwi Mallick:
Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey. CoRR abs/2406.00252 (2024) - [i14]Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J. Su, Camillo J. Taylor, Dan Roth:
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. CoRR abs/2406.11050 (2024) - [i13]Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka:
ChatVis: Automating Scientific Visualization with a Large Language Model. CoRR abs/2410.11863 (2024) - [i12]Yangxinyu Xie, Xiang Li, Tanwi Mallick, Weijie J. Su, Ruixun Zhang:
Debiasing Watermarks for Large Language Models via Maximal Coupling. CoRR abs/2411.11203 (2024) - 2023
- [c11]Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash:
Graph Pyramid Autoformer for Long- Term Traffic Forecasting. ICMLA 2023: 384-391 - [i11]Tanwi Mallick, Joshua David Bergerson, Duane R. Verner, John K. Hutchison, Leslie-Anne Levy, Prasanna Balaprakash:
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach. CoRR abs/2302.01887 (2023) - [i10]Yangxinyu Xie, Tanwi Mallick:
A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios. CoRR abs/2308.15464 (2023) - 2022
- [j1]Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approaches. J. Vis. Commun. Image Represent. 87: 103548 (2022) - [i9]Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane:
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting. CoRR abs/2204.01618 (2022) - [i8]Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane MacFarlane, Prasanna Balaprakash:
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting. CoRR abs/2209.13123 (2022) - 2021
- [i7]Yixuan Sun, Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane:
A data-centric weak supervised learning for highway traffic incident detection. CoRR abs/2112.09792 (2021) - 2020
- [c10]Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. ICPR 2020: 10367-10374 - [i6]Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. CoRR abs/2004.08038 (2020) - [i5]Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Beat Detection and Automatic Annotation of the Music of Bharatanatyam Dance using Speech Recognition Techniques. CoRR abs/2004.08269 (2020) - [i4]Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Bharatanatyam Dance Transcription using Multimedia Ontology and Machine Learning. CoRR abs/2004.11994 (2020) - [i3]Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash:
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks. CoRR abs/2008.12767 (2020)
2010 – 2019
- 2019
- [i2]Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach. CoRR abs/1909.11023 (2019) - [i1]Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting. CoRR abs/1909.11197 (2019) - 2018
- [p1]Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Characterization, Detection, and Synchronization of Audio-Video Events in Bharatanatyam Adavus. Heritage Preservation 2018: 241-268 - 2017
- [c9]Achyuta Aich, Tanwi Mallick, Himadri B. G. S. Bhuyan, Partha Pratim Das, Arun Kumar Majumdar:
NrityaGuru: A Dance Tutoring System for Bharatanatyam Using Kinect. NCVPRIPG 2017: 481-493 - [c8]Anindhya Sankhla, Vinanti Kalangutkar, Himadri B. G. S. Bhuyan, Tanwi Mallick, Vivek Nautiyal, Partha Pratim Das, Arun Kumar Majumdar:
Automated Translation of Human Postures from Kinect Data to Labanotation. NCVPRIPG 2017: 494-505 - 2016
- [c7]Tanwi Mallick, Akash Anuj, Partha Pratim Das, Arun Kumar Majumdar:
Using Musical Beats to Segment Videos of Bharatanatyam Adavus. CVIP (1) 2016: 581-591 - [c6]Tanwi Mallick, Ankit Khedia, Partha Pratim Das, Arun Kumar Majumdar:
Fast Gait Recognition from Kinect Skeletons. VISIGRAPP (3: VISAPP) 2016: 342-349 - [c5]Tanwi Mallick, Palash Goyal, Partha Pratim Das, Arun Kumar Majumdar:
Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library. VISIGRAPP (4: VISAPP) 2016: 525-532 - 2015
- [c4]Akash Anuj, Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Robust control of applications by hand-gestures. NCVPRIPG 2015: 1-4 - [c3]Tanwi Mallick, Rishabh Agrawal, Partha Pratim Das, Arun Kumar Majumdar:
Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors. VISAPP (3) 2015: 559-566 - 2014
- [c2]Tanwi Mallick, Partha Pratim Das, Arun K. Majumdar:
Study of Interference Noise in Multi-Kinect Set-up. VISAPP (1) 2014: 173-178 - 2013
- [c1]Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Estimation of the orientation and distance of a mirror from Kinect depth data. NCVPRIPG 2013: 1-4
Coauthor Index
aka: Arun Kumar Majumdar
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