Dukkipati, Ambedkar

23 publications

AAAI 2025 Active Reinforcement Learning Strategies for Offline Policy Improvement Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru

AAAI 2025 Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks Tony Gracious, Ambedkar Dukkipati

AAAI 2025 Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs Tony Gracious, Arman Gupta, Ambedkar Dukkipati

ICCV 2025 One Encoder to Rule Them All: Representation Learning for Model-Free Visual Reinforcement Learning Using Fourier Neural Operators Parag Dutta, Mohd Ayyoob, Shalabh Bhatnagar, Ambedkar Dukkipati

ICCV 2025 Semi-Supervised Deep Transfer for Regression Without Domain Alignment Mainak Biswas, Ambedkar Dukkipati, Devarajan Sridharan

WACV 2024 Causal Feature Alignment: Learning to Ignore Spurious Background Features Rahul Venkataramani, Parag Dutta, Vikram Melapudi, Ambedkar Dukkipati

ACML 2023 Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati

AAAI 2023 Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting Tony Gracious, Ambedkar Dukkipati

NeurIPS 2022 Consistency of Constrained Spectral Clustering Under Graph Induced Fair Planted Partitions Shubham Gupta, Ambedkar Dukkipati

AAAI 2021 Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati

AAAI 2019 A Generative Model for Dynamic Networks with Applications Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati

WACV 2019 Learning to Segment with Image-Level Supervision Gaurav Pandey, Ambedkar Dukkipati

WACV 2019 Skip Residual Pairwise Networks with Learnable Comparative Functions for Few-Shot Learning Akshay Mehrotra, Ambedkar Dukkipati

ICML 2017 Attentive Recurrent Comparators Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati

JMLR 2017 Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques Debarghya Ghoshdastidar, Ambedkar Dukkipati

ICML 2016 On Collapsed Representation of Hierarchical Completely Random Measures Gaurav Pandey, Ambedkar Dukkipati

ICML 2015 A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning Debarghya Ghoshdastidar, Ambedkar Dukkipati

AAAI 2015 Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications Debarghya Ghoshdastidar, Ambedkar Dukkipati

NeurIPS 2014 Consistency of Spectral Partitioning of Uniform Hypergraphs Under Planted Partition Model Debarghya Ghoshdastidar, Ambedkar Dukkipati

ICML 2014 Learning by Stretching Deep Networks Gaurav Pandey, Ambedkar Dukkipati

CVPR 2014 Spectral Clustering with Jensen-Type Kernels and Their Multi-Point Extensions Debarghya Ghoshdastidar, Ambedkar Dukkipati, Ajay P. Adsul, Aparna S. Vijayan

AISTATS 2014 To Go Deep or Wide in Learning? Gaurav Pandey, Ambedkar Dukkipati

AAAI 2013 On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications Debarghya Ghoshdastidar, Ambedkar Dukkipati