Anshul Thakur

60 papers A* 3A 7C 1Misc 2Journal 31Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bribery's Influence on Ranked Aggregation.
CoRR
Pallavi Jain, Anshul Thakur
2026 J jnl
Democratising Clinical AI through Dataset Condensation for Classical Clinical Models.
CoRR
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Joshua Fieggen, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton
2026 J jnl
Entropy Alone is Insufficient for Safe Selective Prediction in LLMs.
CoRR
Edward Phillips, Fredrik K. Gustafsson, Sean Wu, Anshul Thakur, David A. Clifton
2026 J jnl
Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity.
IEEE J. Biomed. Health Informatics
Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2026 A* conf
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling.
AAAI
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 J jnl
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.
npj Digit. Medicine
Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton
2025 J jnl
Efficient Task Grouping Through Sample-Wise Optimisation Landscape Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang Wang, David A. Clifton
2025 A* conf
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics.
CVPR
Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2025 J jnl
Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs.
CoRR
Edward Phillips, Sean Wu, Soheila Molaei, Danielle Belgrave, Anshul Thakur, David A. Clifton
2025 J jnl
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates.
CoRR
Pafue Christy Nganjimi, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton, Anshul Thakur
2025 A conf
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation.
AISTATS
Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025 A conf
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation.
AISTATS
Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025 J jnl
RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction.
CoRR
Fenglin Liu, Jinge Wu, Hongjian Zhou, Xiao Gu, Soheila Molaei, Anshul Thakur, Lei A. Clifton, Honghan Wu, David A. Clifton
2025 — conf
Towards exploring continual learning for toxicologic pathology in pharmaceutical drug discovery.
CVPR Workshops
Arijit Patra, Jinge Wu, Honghan Wu, Anshul Thakur
2024 — conf
Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare?
ML4H@NeurIPS
Xiao Gu, Yu Liu, Zaineb Mohsin, Jonathan Bedford, Anshul Thakur, Peter J. Watkinson, Lei A. Clifton, Tingting Zhu, David A. Clifton
2024 J jnl
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks.
J. Heal. Informatics Res.
Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2024 J jnl
Continuous patient state attention model for addressing irregularity in electronic health records.
BMC Medical Informatics Decis. Mak.
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
2024 J jnl
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis.
CoRR
Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang Wang, David A. Clifton
2024 J jnl
F
CoRR
Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2024 A conf
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks.
AISTATS
Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton
2024 J jnl
Incremental Trainable Parameter Selection in Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton
2024 J jnl
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024 A* conf
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.
EMNLP
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 C conf
On-chip Data Compression Techniques for High-Density Implantable Neural Recording.
ISCAS
Shantanu Singh Baliyan, Anshul Thakur, Laxmeesha Somappa
2024 J jnl
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024 — conf
Sampling Rate Adaptive Speaker Verification from Raw Waveforms.
ICPR (28)
Vinayak Abrol, Anshul Thakur, Akshat Gupta, Xiaomo Liu, Sameena Shah
2024 J jnl
Surveying Facial Recognition Models for Diverse Indian Demographics: A Comparative Analysis on LFW and Custom Dataset.
CoRR
Pranav Pant, Niharika Dadu, Harsh V. Singh, Anshul Thakur
2023 A conf
Adversarial De-confounding in Individualised Treatment Effects Estimation.
AISTATS
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2023 J jnl
All models are local: time to replace external validation with recurrent local validation.
CoRR
Alexey Youssef, Michael J. Pencina, Anshul Thakur, Tingting Zhu, David A. Clifton, Nigam H. Shah
2023 J jnl
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention.
CoRR
Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton
2023 J jnl
Is dataset condensation a silver bullet for healthcare data sharing?
CoRR
Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton
2023 — conf
Pitfalls in Measuring Neural Transferability.
NeurReps
Suryaka Suresh, Vinayak Abrol, Anshul Thakur
2023 J jnl
Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models.
IEEE J. Biomed. Health Informatics
Anshul Thakur, Jacob Armstrong, Alexey Youssef, David W. Eyre, David A. Clifton
2022 J jnl
Adversarial De-confounding in Individualised Treatment Effects Estimation.
CoRR
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2022 — conf
COPER: Continuous Patient State Perceiver.
BHI
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
2022 J jnl
COPER: Continuous Patient State Perceiver.
CoRR
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
2022 — conf
Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information?
NeurReps
Anshul Thakur, Vinayak Abrol, Pulkit Sharma
2022 J jnl
Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications.
IEEE J. Biomed. Health Informatics
Anshul Thakur, Pulkit Sharma, David A. Clifton
2022 J jnl
On Deploying Secondary Networks in Co-Channel Bands with DTV Networks.
IEEE Trans. Veh. Technol.
Anshul Thakur, Swades De
2020 J jnl
Co-Channel Secondary Deployment Over DTV Bands Using Reconfigurable Radios.
IEEE Trans. Veh. Technol.
Anshul Thakur, Swades De, Gabriel-Miro Muntean
2020 — conf
Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma.
CVPR Workshops
Krati Gupta, Anshul Thakur, Michael H. Goldbaum, Siamak Yousefi
2019 Misc conf
CONV-codes: Audio Hashing for Bird Species Classification.
ICASSP
Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
2019 J jnl
Conv-codes: Audio Hashing For Bird Species Classification.
CoRR
Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
2019 J jnl
Deep Archetypal Analysis Based Intermediate Matching Kernel for Bioacoustic Classification.
IEEE J. Sel. Top. Signal Process.
Anshul Thakur, Padmanabhan Rajan
2019 J jnl
Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation.
CoRR
Anshul Thakur, Padmanabhan Rajan
2019 — conf
Interference-Aware Co-Channel Transmission Over DTV Bands via Partial Frequency and Time Overlaps.
ICC
Anshul Thakur, Swades De, Gabriel-Miro Muntean
2019 J jnl
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss.
CoRR
Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam
2018 — conf
A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.
EUSIPCO
Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar
2018 — conf
APE: Archetypal-Prototypal Embeddings for Audio Classification.
MLSP
Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan
2018 A conf
ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM.
INTERSPEECH
Pulkit Sharma, Vinayak Abrol, Anshul Thakur
2018 A conf
All-Conv Net for Bird Activity Detection: Significance of Learned Pooling.
INTERSPEECH
Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam
2018 Misc conf
Compressed Convex Spectral Embedding for Bird Species Classification.
ICASSP
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
2018 — conf
Convex likelihood alignments for bioacoustic Classification.
MLSP
Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan
2018 A conf
Deep Convex Representations: Feature Representations for Bioacoustics Classification.
INTERSPEECH
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
2017 — conf
Archetypal analysis based sparse convex sequence kernel for bird activity detection.
EUSIPCO
Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao
2017 — conf
Rapid bird activity detection using probabilistic sequence kernels.
EUSIPCO
Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep
2017 — conf
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation.
MLSP
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
2017 — conf
Unsupervised birdcall activity detection using source and system features.
NCC
Anshul Thakur, Padmanabhan Rajan
2016 — conf
Model-based unsupervised segmentation of birdcalls from field recordings.
ICSPCS
Anshul Thakur, Padmanabhan Rajan
2015 J jnl
Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people.
Int. J. Speech Technol.
Shailendra Singh, Anshul Thakur, Dharam Vir