Anshul Thakur
10 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Artificial Intelligence
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Deep Learning
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Machine Learning
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Learning Paradigms Β· Artificial Intelligence
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Healthcare & Medicine
(4)
Clinical
(4)
Architectures
(3)
Core AI Β· Artificial Intelligence
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Keywords
federated learning
(4)
archetypal analysis
(2)
electronic health record
(2)
data heterogeneity
(2)
data-view heterogeneity
(2)
adversarial learning
(1)
benchmark evaluation
(1)
representation learning
(1)
medical nlp
(1)
model aggregation
(1)
message passing
(1)
parameter sharing
(1)
audio classification
(1)
gaussian mixture model
(1)
zero-shot learning
(1)
parameter-efficient fine-tuning
(1)
language model
(1)
few-shot learning
(1)
vision-language model
(1)
convolutional neural network
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Papers
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling
AAAI 2026
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
CVPR 2025
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
AISTATS 2025
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
AISTATS 2025
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks
AISTATS 2024
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
EMNLP 2024
Adversarial De-confounding in Individualised Treatment Effects Estimation
AISTATS 2023
All-Conv Net for Bird Activity Detection: Significance of Learned Pooling
Interspeech 2018
ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM
Interspeech 2018
Deep Convex Representations: Feature Representations for Bioacoustics Classification
Interspeech 2018