Harold Soh
25 papers · 2016–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 36% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Harold Soh?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Abdul Fatir Ansari, Alvin Heng, Tasbolat Taunyazov
9 papers
· 2019–2024
· NeurIPS, RSS, ICML
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GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps
RSS 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
NeurIPS 2024
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
ICML 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
NeurIPS 2023
Deep Explicit Duration Switching Models for Time Series
NeurIPS 2021
Refining Deep Generative Models via Discriminator Gradient Flow
ICLR 2021
A Characteristic Function Approach to Deep Implicit Generative Modeling
CVPR 2020
Event-Driven Visual-Tactile Sensing and Learning for Robots
RSS 2020
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
AAAI 2019
7 papers whose co-authors appear nowhere else under this name
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
EMNLP 2024
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
NeurIPS 2023
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
NeurIPS 2020
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
AAAI 2020
Embedding Symbolic Knowledge into Deep Networks
NeurIPS 2019
Z-Transforms and its Inference on Partially Observable Point Processes
IJCAI 2018
Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process
IJCAI 2016