Srinivas Anumasa
6 papers · 2021–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Architectures
(6)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Techniques
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Types
(1)
Models
(1)
Keywords
neural ordinary differential equation
(3)
spiking neural network
(3)
neural network optimization
(2)
uncertainty quantification
(2)
autonomous driving
(1)
model architecture
(1)
posterior distribution
(1)
gaussian process
(1)
neuromorphic hardware
(1)
amortized inference
(1)
firing rate
(1)
latent variable
(1)
recurrent neural network
(1)
out-of-distribution detection
(1)
activation function
(1)
surrogate gradient
(1)
inference latency
(1)
ann-to-snn conversion
(1)
threshold initialization
(1)
ann-snn conversion
(1)
Papers
Data Driven Threshold and Potential Initialization for Spiking Neural Networks
AISTATS 2024
Enhancing Training of Spiking Neural Network with Stochastic Latency
AAAI 2024
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
ICML 2023
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
ACL 2022
Latent Time Neural Ordinary Differential Equations
AAAI 2022
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
WACV 2021