Sat 6:00 a.m. - 6:40 a.m.
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Deep neural network approximations for PDEs
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Invited Talk
)
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SlidesLive Video
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Diyora Salimova
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Sat 6:40 a.m. - 7:20 a.m.
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Reinforcement learning in continuous-time and space
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Invited talk
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SlidesLive Video
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Cagatay Yildiz
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Sat 7:20 a.m. - 7:40 a.m.
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Break
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Sat 7:40 a.m. - 8:20 a.m.
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Generative Modeling with Stochastic Differential Equations
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Invited talk
)
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SlidesLive Video
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Stefano Ermon
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Sat 8:20 a.m. - 8:30 a.m.
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Continuous-time event-based GRU for activity-sparse inference and learning
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Contributed talk
)
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SlidesLive Video
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Mark Schoene · Anand Subramoney · David Kappel · Khaleelulla Khan Nazeer · Christian Mayr
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Sat 8:30 a.m. - 8:40 a.m.
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Irregularly-Sampled Time Series Modeling with Spline Networks
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Contributed talk
)
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SlidesLive Video
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Marin Biloš · Emanuel Ramneantu · Stephan Günnemann
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Sat 8:40 a.m. - 8:50 a.m.
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Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence toMirror Descent
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Contributed talk
)
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SlidesLive Video
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Zhiyuan Li · Tianhao Wang · Jason Lee · Sanjeev Arora
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Sat 8:50 a.m. - 9:00 a.m.
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Heat Diffusion Based Recurrent Neural Differential Equations
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Contributed talk
)
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SlidesLive Video
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srinivas anumasa · geetakrishnasai gunapati · Srijith Prabhakaran nair kusumam
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Sat 9:00 a.m. - 10:30 a.m.
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Lunch break
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Sat 10:30 a.m. - 11:10 a.m.
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ResNet after all? How (not) to design continuous neural network architectures
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Invited talk
)
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SlidesLive Video
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Katharina Ott
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Sat 11:10 a.m. - 11:50 a.m.
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Continuous vs. Discrete Optimization of Deep Neural Networks
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Invited talk
)
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SlidesLive Video
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Nadav Cohen
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Sat 11:50 a.m. - 12:00 p.m.
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On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
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Contributed talk
)
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SlidesLive Video
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Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
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Sat 12:00 p.m. - 12:30 p.m.
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Tea Break
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Sat 12:30 p.m. - 1:30 p.m.
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Panel
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Discussion Panel
)
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SlidesLive Video
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Sat 1:30 p.m. - 3:00 p.m.
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Social and Poster session
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Social and poster
)
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-
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Markovian Gaussian Process Autoencoders
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Spotlight
)
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SlidesLive Video
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Harrison Zhu · Carles Balsells Rodas · Yingzhen Li
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-
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Contrasting Discrete and Continuous Time Methods for Bayesian System Identification
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Spotlight
)
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SlidesLive Video
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Talay Cheema · Carl E Rasmussen
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-
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A Multistep Frank-Wolfe Method
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Spotlight
)
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SlidesLive Video
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zhaoyue chen · Yifan Sun
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-
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Everyone Matters: Customizing the Dynamics of Decision Boundary for Adversarial Robustness
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Spotlight
)
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SlidesLive Video
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Yuancheng Xu · Yanchao Sun · Furong Huang
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-
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Accelerated Methods for Distributed Optimization Problems using Fixed-time Stability of Continuous-time Dynamical Systems
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Spotlight
)
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SlidesLive Video
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Kunal Garg · Mayank Baranwal
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Faster Training of Neural ODEs Using Gauß–Legendre Quadrature
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Spotlight
)
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SlidesLive Video
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Alexander Norcliffe · Marc Deisenroth
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-
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Non-convex online learning via algorithmic equivalence
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Spotlight
)
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SlidesLive Video
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Udaya Ghai · Zhou Lu · Elad Hazan
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-
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Gradient Flows for L2 Support Vector Machine Training
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Spotlight
)
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SlidesLive Video
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Christian Bauckhage · Rafet Sifa · Helen Schneider · Benjamin Wulff
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-
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Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges
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Spotlight
)
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Ya-Ping Hsieh · Charlotte Bunne · Marco Cuturi · Andreas Krause
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Modeling Solutions to Ordinary and Partial Differential Equations with Continuous Initial Value Networks
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Spotlight
)
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SlidesLive Video
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Marin Biloš · Andrei Smirdin · Stephan Günnemann
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-
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Epsilon-Greedy Reinforcement Learning Policy in Continuous-Time Systems
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Spotlight
)
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SlidesLive Video
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Mohamad Kazem Shirani Faradonbeh
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-
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Temporal Graph Neural Networks with Time-Continuous Latent States
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Spotlight
)
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SlidesLive Video
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Joel Oskarsson · Per Sidén · Fredrik Lindsten
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Continuous Methods : Adaptively intrusive reduced order model closure
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Spotlight
)
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SlidesLive Video
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Emmanuel Menier · Michele Alessandro Bucci · Mouadh Yagoubi · Lionel Mathelin · Raphael Meunier · Thibault Dairay · Marc Schoenauer
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Continuous Methods : Hamiltonian Domain Translation
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Spotlight
)
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SlidesLive Video
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Emmanuel Menier · Michele Alessandro Bucci · Mouadh Yagoubi · Lionel Mathelin · Marc Schoenauer
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When Neural ODE Meets Adaptive Moment Estimation: Boosting Efficiency, Stability and Accuracy of Neural ODEs Together
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Spotlight
)
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SlidesLive Video
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Seunghyeon Cho · Sanghyun Hong · Kookjin Lee · Noseong Park
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Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models
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Spotlight
)
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SlidesLive Video
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Louis Sharrock
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A New Look on Diffusion Times for Score-based Generative Models
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Spotlight
)
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SlidesLive Video
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Giulio Franzese · Simone Rossi · Lixuan YANG · alessandro finamore · Dario Rossi · Maurizio Filippone · Pietro Michiardi
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Towards a General Purpose CNN for Long Range Dependencies in $N$D
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Spotlight
)
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SlidesLive Video
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David Romero · David Knigge · Albert Gu · Erik Bekkers · Efstratios Gavves · Jakub Tomczak · Mark Hoogendoorn
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Learning to Discretize for Continuous-time Sequence Compression
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Spotlight
)
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Ricky T. Q. Chen · Maximilian Nickel · Matthew Le · Matthew Muckley · Karen Ullrich
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The Gap Between Continuous and Discrete Gradient Descent
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Spotlight
)
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SlidesLive Video
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Amirkeivan Mohtashami · Martin Jaggi · Sebastian Stich
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Principle of Least Action Approach to Accelerate Neural Ordinary Differential Equations
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Spotlight
)
>
SlidesLive Video
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srinivas anumasa · Srijith Prabhakaran nair kusumam
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Estimating Treatment Effects in Continuous Time with Hidden Confounders
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Spotlight
)
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SlidesLive Video
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Defu Cao · James Enouen · Yan Liu
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Continuous-time Analysis for Variational Inequalities: An Overview & Desiderata
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Spotlight
)
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SlidesLive Video
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Tatjana Chavdarova · Ya-Ping Hsieh
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MQTransformer: Context Dependent Attention and Bregman Volatility
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Spotlight
)
>
SlidesLive Video
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Carson Eisenach · Dhruv Madeka · Kevin Chen · Lee Dicker
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Physics-Informed Neural Operator for Learning Partial Differential Equations
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Spotlight
)
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Zongyi Li · Hongkai Zheng · Nikola Kovachki · David Jin · Haoxuan Chen · Burigede Liu · Kamyar Azizzadenesheli · Animashree Anandkumar
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Riemannian Diffusion Schr\"odinger Bridge
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Spotlight
)
>
SlidesLive Video
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James Thornton · Valentin De Bortoli · Michael Hutchinson · Emile Mathieu · Yee Whye Teh · Arnaud Doucet
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Data Assimilation and Neural ODEs for learning latent dynamics
(
Spotlight
)
>
SlidesLive Video
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Matthew Levine · Andrew Stuart
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Connections between Kernel Analog Forecasting and Gaussian Process Regression
(
Spotlight
)
>
SlidesLive Video
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Dmitry Burov
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Identification of Hidden Clusters of Time Series with Hybrid Neural Networks Integrating Expert Models
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Spotlight
)
>
SlidesLive Video
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András Formanek · Edward De Brouwer · Péter Antal · Yves Moreau · Adam Arany
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Should You Follow the Gradient Flow? Insights from Runge-Kutta Gradient Descent
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Spotlight
)
>
SlidesLive Video
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Xiang Li · Antonio Orvieto
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