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69.4/100

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全站排名 #1,773

发表论文15 篇

平均评分5.0

年均产出5.0 篇/年

Nina Miolane

Assistant Professor@University of California, Santa Barbara·美国·OpenReview

研究方向

Topological deep learning · Geometric deep learning · Equivariant deep learning · Graph neural networks · Differential geometry

GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization

ICLR 2026Poster

When Machine Learning Gets Personal: Evaluating Prediction and Explanation

ICLR 2026Poster

A theory of parameter identifiability in data-constrained recurrent neural networks

ICLR 2026Withdrawn

Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks

NeurIPS 2025Poster

TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks

ICLR 2025Rejected

TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks

ICML 2025Poster

Dynamical phases of short-term memory mechanisms in RNNs

ICML 2025Poster

Flow Tree: A dynamic model for navigation paths and strategies

ICLR 2025Withdrawn

Emergent Geometry in Neural Representations of the Visual World

ICLR 2025Withdrawn

Understanding Benefit of Personalization: Beyond Classification

ICLR 2025Withdrawn

合作者 (20)

Guillermo Bernardez

Postdoc Advisee5 篇

Postdoc Advisee3 篇

Francisco Acosta

PhD Advisee3 篇

Postdoc Advisee3 篇

Claudio Battiloro

Mathilde Papillon

PhD Advisee2 篇

William T Redman