Tobias Sukianto — accepted AI-conference papers

2026

GENFACTS-GENERATIVE COUNTERFACTUAL EXPLANATIONS FOR MULTI-VARIATE TIME SERIES

Sarah Seifi, Tobias Sukianto, Lorenzo Servadei

ICASSP 2026oral

Counterfactual explanations aim to enhance model transparency by showing how inputs can be minimally altered to change predictions. For multivariate time series, existing methods often generate counterfactuals that are invalid, implausible, or unintuitive. We introduce GenFacts, a generative framewo…

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2025

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance

Huawei Sun, Nastassia Vysotskaya, Tobias Sukianto, Hao Feng, Julius Ott, Xiangyuan Peng +2

ICASSP 2025accepted

Recently, radar-camera fusion algorithms have gained significant attention as radar sensors provide geometric information that complements the limitations of cameras. However, most existing radar-camera depth estimation algorithms focus solely on improving performance, often neglecting computational…

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