EI Seminar - Recent papers in Embodied Intelligence
Yunsheng Tian: AutoOED: Automated Optimal Experiment Design Platform
Matthias Hofer: Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
Dylan Doblar: Noether networks: meta-learning useful conserved quantities
Shen Li: Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty
Jie Xu: An End-to-End Differentiable Framework For Contact-Aware Robot Design
Yuan Gong: AST: Audio Spectrogram Transformer
Javier Lopez-Contreras: A large-scale benchmark for few-shot program induction and synthesis
Joe O'Connor: What Context Features Can Transformer Language Models Use?
Zhezheng Luo: Temporal and Object Quantification Networks
Jeff Lai: PARP for Self-Supervised Speech Recognition and Speech Synthesis
Aviv Netanyahu: PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Видео EI Seminar - Recent papers in Embodied Intelligence канала MIT Embodied Intelligence
Matthias Hofer: Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
Dylan Doblar: Noether networks: meta-learning useful conserved quantities
Shen Li: Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty
Jie Xu: An End-to-End Differentiable Framework For Contact-Aware Robot Design
Yuan Gong: AST: Audio Spectrogram Transformer
Javier Lopez-Contreras: A large-scale benchmark for few-shot program induction and synthesis
Joe O'Connor: What Context Features Can Transformer Language Models Use?
Zhezheng Luo: Temporal and Object Quantification Networks
Jeff Lai: PARP for Self-Supervised Speech Recognition and Speech Synthesis
Aviv Netanyahu: PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Видео EI Seminar - Recent papers in Embodied Intelligence канала MIT Embodied Intelligence
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