https://thayafluss.net/https://thayafluss.net/about/https://thayafluss.net/activities/https://thayafluss.net/findings/https://thayafluss.net/findings/a-symmetry-in-free-probability-quantum-de-finetti-theorem-2014/https://thayafluss.net/findings/analysis-of-deep-neural-networks-with-random-tensors-2024/https://thayafluss.net/findings/asymp-freeness-layerwise-jacobians-talk-2021-12-23/https://thayafluss.net/findings/asymp-freeness-layerwise-jacobians-talk-2022-12-16/https://thayafluss.net/findings/asymp-freeness-layerwise-jacobians/https://thayafluss.net/findings/asymptotic-freeness-in-jacobian-of-deep-neural-networks-2019-2/https://thayafluss.net/findings/asymptotic-freeness-in-jacobian-of-deep-neural-networks-2019/https://thayafluss.net/findings/asymptotic-freeness-in-mlp-and-related-topics-2023/https://thayafluss.net/findings/cauchy-noise-loss-poster-2018-05-21/https://thayafluss.net/findings/cauchy-noise-loss-talk-2017-12-06/https://thayafluss.net/findings/cauchy-noise-loss/https://thayafluss.net/findings/cluster-haptic-texture-database-haptic-texture-database-with-2024/https://thayafluss.net/findings/cumulants-in-noncommutative-probability-2015/https://thayafluss.net/findings/de-finetti-theorem-for-a-boolean-anaolgue-of-easy-quantum-gr-2017/https://thayafluss.net/findings/de-finetti-theorems-for-a-boolean-analogue-of-easy-quantum-g-2016/https://thayafluss.net/findings/free-deterministic-equivalent-z-scores-of-compound-wishart-m-2019/https://thayafluss.net/findings/free-product-of-von-neumann-algebras-2016/https://thayafluss.net/findings/free-random-projection-2026/https://thayafluss.net/findings/frp-2025-talk-2025-06-16/https://thayafluss.net/findings/frp-2025-talk-2025-10-08/https://thayafluss.net/findings/frp-2025-talk-2025-10-14/https://thayafluss.net/findings/frp-2025/https://thayafluss.net/findings/gaussian-equivalence-self-attention-talk-2026-05-01/https://thayafluss.net/findings/gaussian-equivalence-self-attention-talk-n0/https://thayafluss.net/findings/gaussian-equivalence-self-attention/https://thayafluss.net/findings/identifiability-of-parametric-random-matrix-models-2019/https://thayafluss.net/findings/layer-wise-interpretation-of-deep-neural-networks-using-idne-2021/https://thayafluss.net/findings/mlp-mixer-mlp-2024/https://thayafluss.net/findings/panotree-automated-photospot-explorer-in-virtual-reality-sce-2024/https://thayafluss.net/findings/parameter-estimation-of-random-matrix-models-via-free-probab-2018/https://thayafluss.net/findings/polynomials-of-randm-matrices-in-deep-nerual-networks-2024/https://thayafluss.net/findings/preliminary-study-of-haptic-presentation-in-a-vr-environment-2023/https://thayafluss.net/findings/random-matrices-free-probability-and-deep-learning-2022/https://thayafluss.net/findings/random-matrices-free-probability-and-deep-neural-networks-2024/https://thayafluss.net/findings/random-matrices-free-probability-and-neural-networks-2024-2/https://thayafluss.net/findings/random-matrices-free-probability-and-neural-networks-2024/https://thayafluss.net/findings/random-matrix-approach-to-deep-learning-2020/https://thayafluss.net/findings/selective-forgetting-of-deep-networks-at-a-finer-level-than-2020/https://thayafluss.net/findings/spectral-parameter-estimation-of-random-matrix-models-2018/https://thayafluss.net/findings/spectral-parameter-estimation-of-random-matrix-models-cauchy-2018/https://thayafluss.net/findings/the-spectrum-of-fisher-information-of-deep-networks-achievin-2021/https://thayafluss.net/findings/understanding-gradient-regularization-in-deep-learning-effic-2023/https://thayafluss.net/findings/understanding-mlp-mixer-as-a-wide-and-sparse-mlp-2024/https://thayafluss.net/findings/understanding-mlp-mixer-as-a-wide-and-sparse-mlp-throughout-2023/https://thayafluss.net/findings/untitled-1a62560d-2024/https://thayafluss.net/findings/untitled-2a62560d-2025/https://thayafluss.net/findings/untitled-24c2560d-2025/https://thayafluss.net/findings/untitled-323ee650-2021/https://thayafluss.net/findings/untitled-761e4a9b-2019/https://thayafluss.net/findings/untitled-2332560d-2025/https://thayafluss.net/findings/viewpoint-planning-of-projector-placement-for-spatial-augmen-2021/https://thayafluss.net/notes/https://thayafluss.net/notes/aistats2026-acceptance/https://thayafluss.net/notes/asymp-free-mlp-v2/https://thayafluss.net/notes/asymp-free-mlp/https://thayafluss.net/notes/deep-fim/https://thayafluss.net/notes/freeness/https://thayafluss.net/notes/imi/https://thayafluss.net/notes/mlp-mixer-wide-sparse-2023/https://thayafluss.net/notes/rmt-fp-dnn-2024-09/https://thayafluss.net/research/https://thayafluss.net/ship-log/https://thayafluss.net/topics/https://thayafluss.net/topics/adjacent-explorations/https://thayafluss.net/topics/asymptotic-freeness/https://thayafluss.net/topics/dnn-architecture-as-random-matrices/https://thayafluss.net/topics/dynamical-isometry-theme/https://thayafluss.net/topics/free-group-representation/https://thayafluss.net/topics/free-probability-theme/https://thayafluss.net/topics/free-random-projection/https://thayafluss.net/topics/interpretability-and-training-dynamics/https://thayafluss.net/topics/machine-learning/https://thayafluss.net/topics/meta-rl-theme/https://thayafluss.net/topics/orthogonal-initialization/https://thayafluss.net/topics/quantum-probability/https://thayafluss.net/topics/random-matrix-spectra/https://thayafluss.net/topics/reinforcement-learning/https://thayafluss.net/topics/rmt-parameter-estimation/https://thayafluss.net/topics/self-attention-scaling-theme/https://thayafluss.net/topics/vr-research-thread/