Anshul Thakur
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
8
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling. | Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton |
| 2025 | AISTATS | Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation. | Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton |
| 2025 | AISTATS | Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation. | Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton |
| 2025 | CVPR | Towards exploring continual learning for toxicologic pathology in pharmaceutical drug discovery. | Arijit Patra, Jinge Wu, Honghan Wu, Anshul Thakur |
| 2025 | CVPR | F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. | Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble |
| 2024 | AISTATS | Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. | Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton |
| 2024 | EMNLP | Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. | Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton |
| 2024 | ICPR | Sampling Rate Adaptive Speaker Verification from Raw Waveforms. | Vinayak Abrol, Anshul Thakur, Akshat Gupta, Xiaomo Liu, Sameena Shah |
| 2024 | ISCAS | On-chip Data Compression Techniques for High-Density Implantable Neural Recording. | Shantanu Singh Baliyan, Anshul Thakur, Laxmeesha Somappa |
| 2023 | AISTATS | Adversarial De-confounding in Individualised Treatment Effects Estimation. | Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton |
| 2020 | CVPR | Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma. | Krati Gupta, Anshul Thakur, Michael H. Goldbaum, Siamak Yousefi |
| 2019 | ICASSP | CONV-codes: Audio Hashing for Bird Species Classification. | Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan |
| 2018 | ICASSP | Compressed Convex Spectral Embedding for Bird Species Classification. | Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan |
| 2018 | Interspeech | All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. | Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam |
| 2018 | Interspeech | ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. | Pulkit Sharma, Vinayak Abrol, Anshul Thakur |
| 2018 | Interspeech | Deep Convex Representations: Feature Representations for Bioacoustics Classification. | Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan |