Ransalu Senanayake
12 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(8)
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Machine Learning
(7)
Deep Learning
(4)
Models
(4)
Core Methods
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
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(2)
Computer Vision
(1)
Natural Language Processing
(1)
Robotics
(1)
Bayesian & Probabilistic
(1)
Keywords
occupancy mapping
(4)
generative model
(3)
hilbert map
(2)
domain adaptation
(2)
variational autoencoder
(2)
kernel methods
(2)
kullback-leibler divergence
(1)
variational inference
(1)
multi-agent reinforcement learning
(1)
autonomous driving
(1)
spatio-temporal modeling
(1)
kernel learning
(1)
multimodal learning
(1)
bayesian framework
(1)
robotic navigation
(1)
human feedback
(1)
optimal transport
(1)
stochastic variational inference
(1)
kernel classifier
(1)
integer programming
(1)
Papers
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
AAAI 2026
ExpressivityBench: Can LLMs Communicate Implicitly?
EACL 2026
Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networksβ Internal Representations
ICML 2025
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
ICML 2024
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
RSS 2023
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
NeurIPS 2021
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
NeurIPS 2020
Online Domain Adaptation for Occupancy Mapping
RSS 2020
Black Box Quantiles for Kernel Learning
AISTATS 2019
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments
CoRL 2018
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping
CoRL 2017
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments
NeurIPS 2016