MANIFOLD-REGRESSION TO PREDICT FROM MEG/EEG BRAIN SIGNALS WITHOUT SOURCE MODELING

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20
1. Verfasser: Sabbagh, David (VerfasserIn)
Weitere Verfasser: Ablin, Pierre (VerfasserIn), Varoquaux, Gael (VerfasserIn), Gramfort, Alexandre (VerfasserIn), Engemann, Denis A. (VerfasserIn)
Pages:32
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
POINTDAN: A MULTI-SCALE 3D DOMAIN ADAPTION NETWORK FOR POINT CLOUD REPRESENTATION 2020 Qin, Can
TOWARD A CHARACTERIZATION OF LOSS FUNCTIONS FOR DISTRIBUTION LEARNING 2020 Haghtalab, Nika
LOCALIZED STRUCTURED PREDICTION 2020 Ciliberto, Carlo
GRU-ODE-BAYES: CONTINUOUS MODELING OF SPORADICALLY-OBSERVED TIME SERIES 2020 Brouwer, Edward De
LEARNING-BASED LOW-RANK APPROXIMATIONS 2020 Indyk, Piotr
LIST-DECODABLE LINEAR REGRESSION 2020 Karmalkar, Sushrut
WHAT THE VEC? TOWARDS PROBABILISTICALLY GROUNDED EMBEDDINGS 2020 Allen, Carl
SELF-ROUTING CAPSULE NETWORKS 2020 Hahn, Taeyoung
THE ARAMETERIZED COMPLEXITY OF CASCADING PORTFOLIO SCHEDULING 2020 Eiben, Eduard
MAXIMUM EXPECTED HITTING COST OF A MARKOV DECISION PROCESS AND INFORMATIVENESS OF REWARDS 2020 Dai, Falcon
A POLYNOMIAL TIME ALGORITHM FOR LOG-CONCAVE MAXIMUM LIKELIHOOD VIA LOCALLY EXPONENTIAL FAMILIES 2020 Axelrod, Brian
A UNIFYING FRAMEWORK FOR SPECTRUM-PRESERVING GRAPH SPARSIFICATION AND COARSENING 2020 Hermsdorff, Gecia Bravo
HOW DEGENERATE IS THE PARAMETRIZATION OF NEURAL NETWORKS WITH THE RELU ACTIVATION FUNCTION? 2020 Elbrächter, Dennis Maximilian
SMILE: SCALABLE META INVERSE REINFORCEMENT LEARNING THROUGH CONTEXT- CONDITIONAL POLICIES 2020 Ghasemipour, Seyed Kamyar Seyed
A UNIFIED BELLMAN OPTIMALITY PRINCIPLE COMBINING REWARD MAXIMIZATION AND EMPOWERMENT 2020 Leibfried, Felix
TOWARDS UNDERSTANDING THE IMPORTANCE OF SHORTCUT CONNECTIONS IN RESIDUAL NETWORKS 2020 Liu, Tianyi
DIFFERENTIALLY PRIVATE ANONYMIZED HISTOGRAMS 2020 Suresh, Ananda Theertha
ZO-ADAMM: ZEROTH-ORDER ADAPTIVE MOMENTUM METHOD FOR BLACK-BOX OPTIMIZATION 2020 Chen, Xiangyi
CORESETS FOR ARCHETYPAL ANALYSIS 2020 Mair, Sebastian
NON-STATIONARY MARKOV DECISION PROCESSES, A WORST-CASE APPROACH USING MODEL- BASED REINFORCEMENT LEARNING 2020 Lecarpentier, Erwan
Alle Artikel auflisten