Soumya Ghosh
21 papers · 2011–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (10)
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Conference Polyglot
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(110)
π
Conference Pioneer
π
Trend Setter
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Century Club
(21)
π₯
Unstoppable
(9)
β
The Questioner
Conferences
NIPS (7)
ICML (4)
AAAI (2)
MLHC (2)
ACL (1)
AISTATS (1)
CVPR (1)
EACL (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
uncertainty quantification
(4)
bayesian neural network
(4)
bayesian nonparametrics
(3)
variational inference
(3)
unsupervised learning
(2)
transfer learning
(2)
bayesian inference
(2)
nonparametric bayesian
(2)
latent variable model
(2)
out-of-distribution detection
(2)
gaussian process
(2)
federated learning
(2)
horseshoe prior
(2)
model selection
(2)
large language model
(2)
pose estimation
(1)
image segmentation
(1)
bayesian learning
(1)
contrastive learning
(1)
approximate inference
(1)
Papers
Multi-Level Explanations for Generative Language Models
ACL 2025
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
NIPS 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
NIPS 2024
Thermometer: Towards Universal Calibration for Large Language Models
ICML 2024
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
AAAI 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
EACL 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
NIPS 2022
Measuring the robustness of Gaussian processes to kernel choice
AISTATS 2022
Post-hoc loss-calibration for Bayesian neural networks
UAI 2021
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
MLHC 2021
Approximate Cross-Validation for Structured Models
NIPS 2020
Model Fusion with Kullback-Leibler Divergence
ICML 2020
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling
MLHC 2020
Statistical Model Aggregation via Parameter Matching
NIPS 2019
Bayesian Nonparametric Federated Learning of Neural Networks
ICML 2019
Model Selection in Bayesian Neural Networks via Horseshoe Priors
JMLR 2019
Unsupervised Learning with Contrastive Latent Variable Models
AAAI 2019
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
ICML 2018
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
CVPR 2017
From Deformations to Parts: Motion-based Segmentation of 3D Objects
NIPS 2012
Spatial distance dependent Chinese restaurant processes for image segmentation
NIPS 2011