Journal

• Neha Vats, Anirban Sengupta, Rakesh K Gupta, Rana Patir, Sandeep Vaishya, Sunita Ahlawat, Jitender Saini, Sumeet Agarwal, and Anup Singh. Differentiation of Pilocytic Astrocytoma from Glioblastoma using a Machine-Learning framework based upon quantitative T1 perfusion MRI. Magnetic Resonance Imaging 98:76–82 (2023).


• Ornella Cominetti, Sumeet Agarwal, and Sergio Oller-Moreno. Editorial: Advances in methods and tools for multi-omics data analysis. Frontiers in Molecular Biosciences 10:1186822 (2023).


• Nandita Saikia, Krishna Kumar, Jayanta Kumar Bora, Souvik Mondal, Santosh Phad, and Sumeet Agarwal. What Determines the District-Level Disparities in Immunization Coverage in India: Findings from Five Rounds of the National Family Health Survey. Vaccines 11(4):851 (2023).


• Sidharth Ranjan, Rajakrishnan Rajkumar, and Sumeet Agarwal. Locality and expectation effects in Hindi preverbal constituent ordering. Cognition 223:104959 (2022).


• Mira Johri, Sumeet Agarwal, Aman Khullar, Dinesh Chandra, Vijay Sai Pratap, Aaditeshwar Seth, and the Gram Vaani Team. The first 100 days: how has COVID-19 affected poor and vulnerable groups in India? Health Promotion International, daab050 (2021).


• Deepika Vatsa and Sumeet Agarwal. PEPN-GRN: A Petri net-based approach for the inference of gene regulatory networks from noisy gene expression data. PLoS ONE 16(5):e0251666 (2021).


• Akash Nayak, Esha Baidya Kayal, Manish Arya, Jayanth Culli, Sonal Krishan, Sumeet Agarwal, and Amit Mehndiratta. Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT. International Journal of Computer Assisted Radiology and Surgery (2019).


• Anirban Sengupta, Anandh K. Ramaniharan, Rakesh K. Gupta, Sumeet Agarwal, and Anup Singh. Glioma grading using a machine learning framework based on optimized features obtained from T₁ perfusion MRI and volumes of tumor components. Journal of Magnetic Resonance Imaging (2019) [preprint].


• Anirban Sengupta, Sumeet Agarwal, Pradeep K. Gupta, Sunita Ahlawat, Rana Patir, Rakesh K. Gupta, and Anup Singh. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images. European Journal of Radiology 106:199–208 (2018).


• Arpit Agrawal, Sumeet Agarwal, and Samar Husain. Role of expectation and working memory constraints in Hindi comprehension: An eyetracking corpus analysis. Journal of Eye Movement Research 10(2):4 (2017) [preprint].


• Alexandre de Figueiredo, Iain G. Johnston, David M. D. Smith, Sumeet Agarwal, Heidi J. Larson, and Nick S. Jones. Forecasted trends in vaccination coverage and correlations with socioeconomic factors: a global time-series analysis over 30 years. The Lancet Global Health 4(10):e726–e735 (2016) [preprint].


• Sumeet Agarwal. Systems approaches in understanding evolution and evolvability. Progress in Biophysics and Molecular Biology 113:369–374 (2013) [preprint].


• Yoonjoo Choi, Sumeet Agarwal, and Charlotte Deane. How long is a piece of loop? PeerJ 1:e1 (2013) [preprint].


• Sumeet Agarwal, Charlotte M. Deane, Mason A. Porter, and Nick S. Jones. Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks. PLoS Computational Biology 6(6):e1000817 (2010) [preprint] [blog post] [slides] [arXiv:0911.0408].


• Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, and Ashwin Srinivasan. Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM). BMC Bioinformatics 11(Suppl 1):S29 (2010) [preprint] [slides] [website].


• Sumeet Agarwal, V. Vijaya Saradhi, and Harish Karnick. Kernel-based online machine learning and support vector reduction. Neurocomputing 71:1230–1237 (2008) [preprint].

Conference Proceedings

• Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, and Manik Varma. Deep Encoders with Auxiliary Parameters for Extreme Classification. In Proceedings of the 29^th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, California, USA, August 2023.


• Nishad Singhi, Sumeet Agarwal, and Sumitava Mukherjee. Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles. In Proceedings of the 45^th Annual Meeting of the Cognitive Science Society (CogSci), Sydney, Australia, July 2023.


• Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, and Manik Varma. NGAME: Negative Mining-aware Mini-batching for Extreme Classification. In Proceedings of the 16^th ACM International Conference on Web Search and Data Mining (WSDM), Singapore, February–March 2023.


• Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. Discourse Context Predictability Effects in Hindi Word Order. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, UAE, December 2022.


• Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. Dual Mechanism Priming Effects in Hindi Word Order. In Proceedings of the 2^nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12^th International Joint Conference on Natural Language Processing (AACL-IJCNLP), November 2022.


• Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, and Manik Varma. Multi-Modal Extreme Classification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, USA, June 2022.


• Sidharth Ranjan, Rajakrishnan Rajkumar, and Sumeet Agarwal. Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech. In Proceedings of the Society for Computation in Linguistics (SCiL), February 2022.


• Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, and Manik Varma. SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. In Proceedings of the 38^th International Conference on Machine Learning (ICML), July 2021 [preprint].


• Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, and Manik Varma. ECLARE: Extreme Classification with Label Graph Correlations. In Proceedings of the 30^th Web Conference (WWW), April 2021 [preprint].


• Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, and Manik Varma. DECAF: Deep Extreme Classification with Label Features. In Proceedings of the 14^th ACM International Conference on Web Search and Data Mining (WSDM), Jerusalem, Israel, March 2021 [preprint].


• Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, and Manik Varma. DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. In Proceedings of the 14^th ACM International Conference on Web Search and Data Mining (WSDM), Jerusalem, Israel, March 2021 [preprint].


• Samvit Dammalapati, Rajakrishnan Rajkumar, Sidharth Ranjan, and Sumeet Agarwal. Effects of Duration, Locality, and Surprisal in Speech Disfluency Prediction in English Spontaneous Speech. In Proceedings of the Society for Computation in Linguistics (SCiL), February 2021.


• Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, and Prathosh AP. A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2021 [arXiv:2010.01343].


• Farah Jamal Ansari and Sumeet Agarwal. Fast Road Sign Detection and Recognition Using Colour-Based Thresholding. In Proceedings of the 5^th IAPR International Conference on Computer Vision and Image Processing (CVIP), Allahabad, India, December 2020.


• Aditi Jha and Sumeet Agarwal. Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? In Proceedings of the 3^rd Conference on Cognitive Computational Neuroscience (CCN), Berlin, Germany, September 2019 [preprint] [arXiv:1904.00431].


• Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, and Sumeet Agarwal. SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. In Proceedings of the 11^th Language Resources and Evaluation Conference (LREC), Miyazaki, Japan, May 2018 [preprint].


• Abhimanyu Dubey and Sumeet Agarwal. Modeling Image Virality with Pairwise Spatial Transformer Networks. In Proceedings of the 25^th ACM Multimedia Conference (MM), Mountain View, California, USA, October 2017 [preprint] [arXiv:1709.07914].


• Ashwini Vaidya, Sumeet Agarwal, and Martha Palmer. Linguistic features for Hindi light verb construction identification. In Proceedings of the 26^th International Conference on Computational Linguistics (COLING), Osaka, Japan, December 2016 [preprint].


• Deepika Vatsa, Sumeet Agarwal, and Ashwin Srinivasan. Learning transition models of biological regulatory and signaling networks from noisy data. In Proceedings of the 3^rd ACM IKDD Conference on Data Science (CODS), Pune, India, March 2016 [preprint] [supplementary material].


• Ashwin Srinivasan, Michael Bain, Deepika Vatsa, and Sumeet Agarwal. Identification of Transition Models of Biological Systems in the Presence of Transition Noise. In Proceedings of the 25^th International Conference on Inductive Logic Programming (ILP), Kyoto, Japan, August 2015 [preprint].


• Tanya Raghuvanshi, Shraddha Chaudhary, Varnica Jain, Sumeet Agarwal, and Santanu Chaudhury. Automated Monocular Vision based System for picking Textureless Objects. In Proceedings of the 2^nd International Conference on Advances in Robotics (AIR), Goa, India, July 2015 [preprint].


• Anil Kumar, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, and Sumeet Agarwal. Semantic clustering-based cross-domain recommendation. In Proceedings of the 5^th IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Orlando, Florida, USA, December 2014 [preprint].


• Anil Kumar, Vikas Kapur, Apangshu Saha, Rajeev Kumar Gupta, Arun Singh, Santanu Chaudhury, and Sumeet Agarwal. Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach. In Proceedings of the 3^rd IEEE International Congress on Big Data (BigData), Anchorage, Alaska, USA, June 2014 [preprint].


• Sumeet Agarwal, Shantanu Godbole, Diwakar Punjani, and Shourya Roy. How Much Noise in Text is too Much: A Study in Automatic Document Classification. In Proceedings of the 7^th IEEE International Conference on Data Mining (ICDM), Omaha, Nebraska, USA, October 2007 [preprint].


• Sumeet Agarwal, V. Vijaya Saradhi, and Harish Karnick. Kernel-based online machine learning and support vector reduction. In Proceedings of the 15^th European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, April 2007 [preprint].

Workshop and Non-Archival Proceedings

• Satyajit Maurya, Virendra Kumar Yadav, Sumeet Agarwal, and Anup Singh. Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture. In Proceedings of the 7^th Brain Lesion workshop (BrainLes), MICCAI, Strasbourg, France, September 2021.


• Hetvi Jethwani and Sumeet Agarwal. Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of Boolean functions. In Proceedings of the Genetic and Evolutionary Computation COnference (GECCO) Companion, Lille, France, July 2021.


• Hritik Bansal, Gantavya Bhatt, and Sumeet Agarwal. Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? In Proceedings of the Society for Computation in Linguistics (SCiL), February 2021 [arXiv:2010.04976].


• Gantavya Bhatt, Hritik Bansal, Rishubh Singh, and Sumeet Agarwal. How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? In Proceedings of the ACL Student Research Workshop (SRW), Seattle, Washington, USA, July 2020 [preprint] [arXiv:2005.08199].


• Sidharth Ranjan, Sumeet Agarwal, and Rajakrishnan Rajkumar. Surprisal and Interference Effects of Case Markers in Hindi Word Order. In Proceedings of the Cognitive Modeling and Computational Linguistics workshop (CMCL), NAACL, Minneapolis, Minnesota, USA, June 2019.


• Samvit Dammalapati, Rajakrishnan Rajkumar, and Sumeet Agarwal. Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech. In Proceedings of the NAACL Student Research Workshop (SRW), Minneapolis, Minnesota, USA, June 2019.


• Ayush Jain, Vishal Singh, Sidharth Ranjan, Rajakrishnan Rajkumar, and Sumeet Agarwal. Uniform Information Density Effects on Syntactic Choice in Hindi. In Proceedings of the Workshop on Linguistic Complexity and Natural Language Processing (LC&NLP), COLING, Santa Fe, New Mexico, USA, August 2018 [preprint].


• Dipankar Ganguly, Sumeet Agarwal, and Santanu Chaudhury. Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. In Proceedings of the 6^th International Workshop on Multilingual OCR (MOCR), ICDAR, Kyoto, Japan, November 2017 [preprint].


• Abhimanyu Dubey, Jayadeva, and Sumeet Agarwal. Examining Representational Similarity in ConvNets and the Primate Visual Cortex. In Proceedings of the Workshop on Biological and Artificial vision (BioArt), ECCV, Amsterdam, The Netherlands, October 2016 [preprint] [arXiv:1609.03529].


• Soumya Sen Gupta and Sumeet Agarwal. Classification and analysis of EEG signals for imagined motor movements. In Proceedings of the IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI), Kanpur, India, December 2015 [preprint].


• Sumeet Agarwal, Gabriel Villar, and Nick S. Jones. High Throughput Network Analysis. In Machine Learning in Systems Biology (MLSB), Proceedings of the Fourth International Workshop, Edinburgh, Scotland, October 2010 [preprint] [slides] [talk].


• Gabriel Villar, Sumeet Agarwal, and Nick S. Jones. High Throughput Network Analysis. In Proceedings of the Workshop on Analysis of Complex NEtworks (ACNE), ECML PKDD, Barcelona, Spain, September 2010 [preprint] [slides].

Thesis

• Sumeet Agarwal. Networks in Nature: Dynamics, Evolution, and Modularity. D.Phil. Thesis, University of Oxford (2012) [EThOS abstract] [preprint].