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Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details
25 August 2021
Sanket R. Jantre
Shrijita Bhattacharya
T. Maiti
BDL
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Papers citing
"Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details"
10 / 10 papers shown
Title
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
Sanket R. Jantre
Tianle Wang
Gilchan Park
Kriti Chopra
Nicholas Jeon
Xiaoning Qian
Nathan M. Urban
Byung-Jun Yoon
62
0
0
10 Feb 2025
BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright
Christian Igel
Raghavendra Selvan
BDL
MQ
44
0
0
03 Jun 2024
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders
Nafiz Abeer
Sanket R. Jantre
Nathan M. Urban
Byung-Jun Yoon
45
0
0
31 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design
A. N. M. N. Abeer
Sanket R. Jantre
Nathan M. Urban
Byung-Jun Yoon
55
1
0
30 Apr 2024
Bayesian sparsification for deep neural networks with Bayesian model reduction
Dimitrije Marković
K. Friston
S. Kiebel
BDL
UQCV
38
1
0
21 Sep 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong
Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Gyuseung Baek
Yongdai Kim
BDL
34
4
0
24 May 2023
Projective Integral Updates for High-Dimensional Variational Inference
J. Duersch
35
1
0
20 Jan 2023
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness
Sumegha Premchandar
Sandeep Madireddy
Sanket R. Jantre
Prasanna Balaprakash
OOD
UQCV
13
3
0
08 Oct 2022
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoileong Lee
Fadhel Ayed
Paul Jung
Juho Lee
Hongseok Yang
François Caron
46
10
0
17 May 2022
Consistent Sparse Deep Learning: Theory and Computation
Y. Sun
Qifan Song
F. Liang
BDL
43
27
0
25 Feb 2021
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