Srikanta Bedathur

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 82

Top Topics

Point Processes

Nearest Neighbour

Top Venues

ACM Trans. Intell. Syst. Technol.

Publications

Prerna Agarwal, Nishant Kumar, Srikanta Bedathur
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution. ACL (1) (2024)
Nishtha Madaan, Prateek Chaudhury, Nishant Kumar, Srikanta Bedathur
TransDrift: Modeling Word-Embedding Drift using Transformer. WWW (Companion Volume) (2024)
Shubham Gupta, Srikanta Bedathur
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. COMAD/CODS (2024)
Vinayak Gupta, Srikanta Bedathur
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Nishtha Madaan, Srikanta Bedathur
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion. SaTML (2024)
Shubham Gupta, Srikanta Bedathur
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives. CoRR (2024)
Dwijesh Gohil, Shivangi Bithel, Srikanta Bedathur
LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval. COMAD/CODS (2023)
Shivangi Bithel, Srikanta Bedathur
Evaluating Cross-modal Generative Models Using Retrieval Task. SIGIR (2023)
Vinayak Gupta, Srikanta Bedathur
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows. CoRR (2023)
Nishtha Madaan, Srikanta Bedathur
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion. CoRR (2023)
Vinayak Gupta, Srikanta Bedathur
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs. IEEE Trans. Big Data 9 (2) (2023)
Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR (2023)
Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR (2023)
Vinayak Gupta, Srikanta Bedathur, Abir De
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing. CoRR (2023)
Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. AAAI (2023)
Rajat Singh, Srikanta Bedathur
Embeddings for Tabular Data: A Survey. CoRR (2023)
Nishtha Madaan, Diptikalyan Saha, Srikanta Bedathur
Counterfactual Sentence Generation with Plug-and-Play Perturbation. SaTML (2023)
Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta, Srikanta Bedathur
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. COMAD/CODS (2023)
Vinayak Gupta, Srikanta Bedathur
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. KDD (2022)
Vinayak Gupta, Srikanta Bedathur, Abir De
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. CoRR (2022)
Vinayak Gupta, Srikanta Bedathur
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. CoRR (2022)
Nishtha Madaan, Srikanta Bedathur, Diptikalyan Saha
Plug and Play Counterfactual Text Generation for Model Robustness. CoRR (2022)
Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language. CoRR (2022)
Vinayak Gupta, Srikanta Bedathur
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Vinayak Gupta, Srikanta Bedathur
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs. CoRR (2022)
Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur
VizAI : Selecting Accurate Visualizations of Numerical Data. COMAD/CODS (2022)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR (2022)
Shubham Gupta, Srikanta Bedathur
A Survey on Temporal Graph Representation Learning and Generative Modeling. CoRR (2022)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR (2022)
Vinayak Gupta, Srikanta Bedathur, Abir De
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. AAAI (2022)
Arindam Bhattacharya, Chathur Gudesa, Amitabha Bagchi, Srikanta Bedathur
New Wine in an Old Bottle: Data-aware Hash Functions for Bloom Filters. Proc. VLDB Endow. 15 (9) (2022)
Nishtha Madaan, Prateek Chaudhury, Nishant Kumar, Srikanta Bedathur
TransDrift: Modeling Word-Embedding Drift using Transformer. CoRR (2022)
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI (2022)
Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala
Automatic Assessment of Quality of your Data for AI. COMAD/CODS (2022)
Vinayak Gupta, Srikanta Bedathur
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. CoRR (2022)
Siddhant Arora, Vinayak Gupta, Garima Gaur, Srikanta Bedathur
BERT Meets Relational DB: Contextual Representations of Relational Databases. CoRR (2021)
Jayesh Choudhari, Srikanta Bedathur, Indrajit Bhattacharya, Anirban Dasgupta
Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process. PAKDD (1) (2021)
Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. CIKM (2021)
Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. CIKM (2021)
Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. CoRR (2021)
Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur
Fast One-class Classification using Class Boundary-preserving Random Projections. KDD (2021)
Komal Chauhan, Kartik Jain, Sayan Ranu, Srikanta Bedathur, Amitabha Bagchi
Answering Regular Path Queries through Exemplars. Proc. VLDB Endow. 15 (2) (2021)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Learning Temporal Point Processes with Intermittent Observations. AISTATS (2021)
Vinayak Gupta, Srikanta Bedathur
Region Invariant Normalizing Flows for Mobility Transfer. CIKM (2021)
Hima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi
2nd International Workshop on Data Quality Assessment for Machine Learning. KDD (2021)
Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur
VizAI : Selecting Accurate Visualizations of Numerical Data. CoRR (2021)
Saransh Goyal, Pratyush Pandey, Garima Gaur, Subhalingam D, Srikanta Bedathur, Maya Ramanath
Tracking entities in technical procedures - a new dataset and baselines. CoRR (2021)
Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel
1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) (2021)
Vinayak Gupta, Srikanta Bedathur
Region Invariant Normalizing Flows for Mobility Transfer. CoRR (2021)
Pranay Lohia, Kalapriya Kannan, Karan Rai, Srikanta Bedathur
Ranking Marginal Influencers in a Target-labeled Network. COMAD/CODS (2020)
Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam
Knowledge Base Inference for Regular Expression Queries. CoRR (2020)
Ankita Likhyani, Vinayak Gupta, Srijith P. K., Deepak P, Srikanta Bedathur
Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes. WISE (1) (2020)
Ankita Likhyani, Vinayak Gupta, Srijith P. K., Deepak P, Srikanta Bedathur
Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces. CoRR (2020)
Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath
Aspect-based Academic Search using Domain-specific KB. CoRR (2020)
Pawan Kumar, Srikanta Bedathur
A Survey on Semantic Parsing from the perspective of Compositionality. CoRR (2020)
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. CIKM (2020)
Siddhant Arora, Srikanta Bedathur
On Embeddings in Relational Databases. CoRR (2020)
Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath
Aspect-Based Academic Search Using Domain-Specific KB. ECIR (2) (2020)
Arindam Bhattacharya, Srikanta Bedathur, Amitabha Bagchi
Adaptive Learned Bloom Filters under Incremental Workloads. COMAD/CODS (2020)
Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge. CoRR (2020)
Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur
FROCC: Fast Random projection-based One-Class Classification. CoRR (2020)
Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge. AKBC (2020)
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. CoRR (2020)
Ankita Likhyani, Srikanta Bedathur, P. Deepak
Location-Specific Influence Quantification in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. 10 (3) (2019)
Sarisht Wadhwa, Anagh Prasad, Sayan Ranu, Amitabha Bagchi, Srikanta Bedathur
Efficiently Answering Regular Simple Path Queries on Large Labeled Networks. SIGMOD Conference (2019)
Neha Sengupta, Amitabha Bagchi, Maya Ramanath, Srikanta Bedathur
ARROW: Approximating Reachability Using Random Walks Over Web-Scale Graphs. ICDE (2019)
Saket Gurukar, Srikanta Bedathur
Time-series as Background Data for Relating Medical Diagnoses Terms. BCB (2019)
Dwaipayan Roy, Debasis Ganguly, Sumit Bhatia, Srikanta Bedathur, Mandar Mitra
Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance. CIKM (2018)
Nishtha Madaan, Gautam Singh, Srikanta Bedathur, Arun Kumar
A Change Tracking Framework for Financial Documents. SCC (2018)
Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur
Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. ICDM (2018)
Rema Ananthanarayanan, Pranay Kr. Lohia, Srikanta Bedathur
DataVizard: Recommending Visual Presentations for Structured Data. WebDB (2018)
Aayushee Gupta, Haimonti Dutta, Srikanta Bedathur, Lipika Dey
A Machine Learning Approach to Quantitative Prosopography. CoRR (2018)
Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath
Sampling and Reconstruction Using Bloom Filters. IEEE Trans. Knowl. Data Eng. 30 (7) (2018)
Hima P. Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez-Muro, Ryan Musa, Michael Witbrock
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. ISWC (P&D/Industry/BlueSky) (2018)
Srikanta Bedathur, Indrajit Bhattacharya, Jayesh Choudhari, Anirban Dasgupta
Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes. CoRR (2018)
Ankita Likhyani, Srikanta Bedathur, Deepak P
LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks. IJCAI (2017)
Rema Ananthanarayanan, Pranay Kr. Lohia, Srikanta Bedathur
DataVizard: Recommending Visual Presentations for Structured Data. CoRR (2017)
Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath
Sampling and Reconstruction Using Bloom Filters. ICDE (2017)
Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath
Sampling and Reconstruction Using Bloom Filters. CoRR (2017)
Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Sriram Lakshminarasimhan
STREAK: An Efficient Engine for Processing Top-k SPARQL Queries with Spatial Filters. CoRR (2017)
Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Medha Atre
: An Efficient Top-K Processing Framework for RDF Quad Stores. CIKM (2016)
Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain
Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. Proc. VLDB Endow. 8 (13) (2015)
Shruti Chhabra, Srikanta Bedathur
Towards Generating Text Summaries for Entity Chains. ECIR (2014)
Jyoti Leeka, Srikanta Bedathur
RQ-RDF-3X: Going beyond triplestores. ICDE Workshops (2014)
Shruti Chhabra, Srikanta Bedathur
Generating Text Summaries of Graph Snippets. COMAD (2013)