Sat 12:00 a.m. - 12:10 a.m.
|
Welcome and Opening Remarks
(
'intro'
)
>
SlidesLive Video
|
Sharvaree Vadgama
馃敆
|
Sat 12:10 a.m. - 12:40 a.m.
|
Keynote: The Platonic Representation Hypothesis
(
Keynote talk
)
>
SlidesLive Video
|
Phillip Isola
馃敆
|
Sat 12:40 a.m. - 1:00 a.m.
|
Invited: Generalization in diffusion models arises from geometry-adaptive harmonic representations
(
Invited talk
)
>
SlidesLive Video
|
Zahra Kadkhodaie
馃敆
|
Sat 1:00 a.m. - 1:10 a.m.
|
Break
(
'break'
)
>
|
馃敆
|
Sat 1:10 a.m. - 1:20 a.m.
|
Contributed: Adaptive Sampling for Continuous Group Equivariant Neural Networks
(
Contributed talk
)
>
link
SlidesLive Video
|
Berfin Inal
馃敆
|
Sat 1:20 a.m. - 1:30 a.m.
|
Contributed: Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
(
Contributed talk
)
>
link
SlidesLive Video
|
Yoav Gelberg
馃敆
|
Sat 1:30 a.m. - 1:35 a.m.
|
Contributed: Probabilistic World Modeling with Asymmetric Distance Measure
(
Contributed talk
)
>
link
SlidesLive Video
|
Meng Song
馃敆
|
Sat 1:35 a.m. - 1:40 a.m.
|
Contributed: Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
(
Contributed talk
)
>
link
SlidesLive Video
|
Mohamed Amine Ketata
馃敆
|
Sat 1:40 a.m. - 1:45 a.m.
|
Contributed: Bundle Neural Networks for message diffusion on graphs
(
Contributed talk
)
>
link
SlidesLive Video
|
Jacob Bamberger
馃敆
|
Sat 1:55 a.m. - 2:15 a.m.
|
Competition track announcement
(
Presentation
)
>
SlidesLive Video
|
Guillermo Bernardez 路 Lev Telyatnikov
馃敆
|
Sat 2:15 a.m. - 2:35 a.m.
|
Invited: Simulation Free Generative Models for Protein Structures, Single-Cell RNA, DNA sequences and Beyond!
(
Invited talk
)
>
SlidesLive Video
|
Joey Bose
馃敆
|
Sat 2:35 a.m. - 3:25 a.m.
|
Poster Session 1
(
Poster session
)
>
|
馃敆
|
Sat 3:25 a.m. - 5:00 a.m.
|
Lunch Break
|
馃敆
|
Sat 5:00 a.m. - 5:35 a.m.
|
Panel
(
Panel discussion
)
>
SlidesLive Video
|
Joey Bose 路 Rianne van den Berg 路 Max Welling 路 Phillip Isola 路 Zahra Kadkhodaie
馃敆
|
Sat 5:35 a.m. - 5:50 a.m.
|
Break
|
馃敆
|
Sat 5:50 a.m. - 6:10 a.m.
|
Invited: Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
(
Invited talk
)
>
SlidesLive Video
|
Nina Miolane
馃敆
|
Sat 6:10 a.m. - 6:40 a.m.
|
Keynote: Automatic Symmetry Discovery from Data
(
Keynote talk
)
>
SlidesLive Video
|
Rose Yu
馃敆
|
Sat 6:40 a.m. - 7:00 a.m.
|
Coffee Break
|
馃敆
|
Sat 7:00 a.m. - 7:05 a.m.
|
Closing Remarks
(
Presentation
)
>
SlidesLive Video
|
Sharvaree Vadgama 路 Erik Bekkers
馃敆
|
Sat 7:05 a.m. - 7:55 a.m.
|
Poster Session 2
(
Poster session
)
>
|
馃敆
|
Sat 7:55 a.m. - 8:00 a.m.
|
Wrap up
(
'remove posters'
)
>
|
馃敆
|
-
|
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection
(
Poster
)
>
link
|
Chengyuan Deng 路 Zhengzhang Chen 路 Xujiang Zhao 路 Haoyu Wang 路 Junxiang Wang 路 Haifeng Chen 路 Jie Gao
馃敆
|
-
|
On the Matter of Embeddings Dispersion on Hyperspheres
(
Poster
)
>
link
|
Evgeniia Tokarchuk 路 Hua Chang Bakker 路 Vlad Niculae
馃敆
|
-
|
Consistency models with learned idempotent boundary conditions
(
Poster
)
>
link
|
Gianluigi Silvestri 路 Luca Ambrogioni
馃敆
|
-
|
Approximate natural gradient in Gaussian processes with non-log-concave likelihoods
(
Poster
)
>
link
|
Marcelo Hartmann
馃敆
|
-
|
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces
(
Poster
)
>
link
|
Athina Sotiropoulou 路 David Alvarez-Melis
馃敆
|
-
|
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design
(
Poster
)
>
link
|
Shengchao Liu 路 Divin Yan 路 weitao du 路 Weiyang Liu 路 Hongyu Guo 路 Christian Borgs 路 Jennifer Chayes 路 Anima Anandkumar
馃敆
|
-
|
InfoNCE: Identifying the Gap Between Theory and Practice
(
Poster
)
>
link
|
Evgenia Rusak 路 Patrik Reizinger 路 Attila Juhos 路 Oliver Bringmann 路 Roland S. Zimmermann 路 Wieland Brendel
馃敆
|
-
|
A Geometric Framework for Understanding Memorization in Generative Models
(
Poster
)
>
link
|
Brendan Ross 路 Hamidreza Kamkari 路 Zhaoyan Liu 路 Tongzi Wu 路 George Stein 路 Gabriel Loaiza-Ganem 路 Jesse Cresswell
馃敆
|
-
|
Stitching Manifolds: Leveraging Interaction to Compose Object Representations into Scenes.
(
Poster
)
>
link
|
Hamza Keurti 路 Bernhard Sch枚lkopf 路 Pau Vilimelis Aceituno 路 Benjamin F. Grewe
馃敆
|
-
|
SE(3)-Hyena Operator for Scalable Equivariant Learning
(
Poster
)
>
link
|
Artem Moskalev 路 Mangal Prakash 路 Rui Liao 路 Tommaso Mansi
馃敆
|
-
|
Transferability for Graph Convolutional Networks
(
Poster
)
>
link
|
Christian Koke 路 Abhishek Saroha 路 Yuesong Shen 路 Marvin Eisenberger 路 Michael Bronstein 路 Daniel Cremers
馃敆
|
-
|
Energy-based Hopfield Boosting for Out-of-Distribution Detection
(
Poster
)
>
link
|
Claus Hofmann 路 Simon Schmid 路 Bernhard Lehner 路 Daniel Klotz 路 Sepp Hochreiter
馃敆
|
-
|
Latent functional maps
(
Poster
)
>
link
|
Marco Fumero 路 Marco Pegoraro 路 Valentino Maiorca 路 Francesco Locatello 路 Emanuele Rodola
馃敆
|
-
|
Geometry-informed Neural Networks
(
Poster
)
>
link
|
Arturs Berzins 路 Andreas Radler 路 Sebastian Sanokowski 路 Sepp Hochreiter 路 Johannes Brandstetter
馃敆
|
-
|
Bias-inducing geometries: exactly solvable data model with fairness implications
(
Poster
)
>
link
|
Stefano Mannelli 路 Federica Gerace 路 Negar Rostamzadeh 路 Luca Saglietti
馃敆
|
-
|
On Fairly Comparing Group Equivariant Networks
(
Poster
)
>
link
|
Lucas Roos 路 Steve Kroon
馃敆
|
-
|
Dirac--Bianconi Graph Neural Networks - Enabling long-range graph predictions
(
Poster
)
>
link
|
Christian Nauck 路 Rohan Gorantla 路 Michael Lindner 路 Konstantin Sch眉rholt 路 Antonia Mey 路 Frank Hellmann
馃敆
|
-
|
GLAudio Listens to the Sound of the Graph
(
Poster
)
>
link
|
Aurelio Sulser 路 Johann Wenckstern 路 Clara K眉mpel
馃敆
|
-
|
Commute-Time-Optimised Graphs for GNNs
(
Poster
)
>
link
|
Igor Sterner 路 Shiye Su 路 Petar Veli膷kovi膰
馃敆
|
-
|
An Equivariant Flow Matching Framework for Learning Molecular Crystallization
(
Poster
)
>
link
|
Shengchao Liu 路 Divin Yan 路 Hongyu Guo 路 Anima Anandkumar
馃敆
|
-
|
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
(
Poster
)
>
link
|
Alonso Urbano 路 David Romero
馃敆
|
-
|
(Deep) Generative Geodesics
(
Poster
)
>
link
|
Beomsu Kim 路 Michael Puthawala 路 Jong Chul YE 路 EMANUELE SANSONE
馃敆
|
-
|
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
(
Poster
)
>
link
|
Mohamed Amine Ketata 路 Nicholas Gao 路 Johanna Sommer 路 Tom Wollschl盲ger 路 Stephan G眉nnemann
馃敆
|
-
|
Aligned Diffusion Models for Retrosynthesis
(
Poster
)
>
link
|
Severi Rissanen 路 Najwa Laabid 路 Markus Heinonen 路 Arno Solin 路 Vikas Garg
馃敆
|
-
|
Adaptive Sampling for Continuous Group Equivariant Neural Networks
(
Poster
)
>
link
|
Berfin Inal 路 Gabriele Cesa
馃敆
|
-
|
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
(
Poster
)
>
link
|
Lazar Atanackovic 路 Xi (Nicole) Zhang 路 Brandon Amos 路 Mathieu Blanchette 路 Leo J Lee 路 Yoshua Bengio 路 Alexander Tong 路 Kirill Neklyudov
馃敆
|
-
|
Asynchrony Invariance Loss Functions for Graph Neural Networks
(
Poster
)
>
link
|
Pablo Monteagudo-Lago 路 Arielle Rosinski 路 Andrew Dudzik 路 Petar Veli膷kovi膰
馃敆
|
-
|
Relaxed Equivariant Graph Neural Networks
(
Poster
)
>
link
|
Elyssa Hofgard 路 Rui Wang 路 Robin Walters 路 Tess Smidt
馃敆
|
-
|
Theoretical Analyses of Hyperparameter Selection in Graph-Based Semi-Supervised Learning
(
Poster
)
>
link
|
Ally Yalei Du 路 Eric Huang 路 Dravyansh Sharma
馃敆
|
-
|
Geometric Wireless Simulation with Equivariant Transformers
(
Poster
)
>
link
|
Thomas Hehn 路 Markus Peschl 路 Tribhuvanesh Orekondy 路 Arash Behboodi 路 Johann Brehmer
馃敆
|
-
|
SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration
(
Poster
)
>
link
|
Chien Erh Lin 路 Minghan Zhu 路 Maani Ghaffari
馃敆
|
-
|
Bundle Neural Networks for message diffusion on graphs
(
Poster
)
>
link
|
Jacob Bamberger 路 Federico Barbero 路 Xiaowen Dong 路 Michael Bronstein
馃敆
|
-
|
A Theoretical Formulation of Many-body Message Passing Neural Networks
(
Poster
)
>
link
|
Jiatong Han
馃敆
|
-
|
On The Local Geometry of Deep Generative Manifolds
(
Poster
)
>
link
|
Ahmed Imtiaz Humayun 路 Ibtihel Amara 路 Candice Schumann 路 Golnoosh Farnadi 路 Negar Rostamzadeh 路 Mohammad Havaei
馃敆
|
-
|
The Geometry of Diffusion Models: Tubular Neighbourhoods and Singularities
(
Poster
)
>
link
|
Kotaro Sakamoto 路 Ryosuke Sakamoto 路 Masato Tanabe 路 Masatomo Akagawa 路 Yusuke Hayashi 路 Manato Yaguchi 路 Masahiro Suzuki 路 Yutaka Matsuo
馃敆
|
-
|
Geometry Aware Deep Learning for Integrated Closed-shell and Open-shell Systems
(
Poster
)
>
link
|
Beom Seok Kang 路 Vignesh Bhethanabotla 路 Mohammadamin Tavakoli 路 William Goddard 路 Anima Anandkumar
馃敆
|
-
|
Topological and Dynamical Representations for Radio Frequency Signal Classification
(
Poster
)
>
link
|
Tegan Emerson 路 Tim Doster 路 Colin Olson 路 Audun Myers
馃敆
|
-
|
Lorentzian Residual Neural Networks
(
Poster
)
>
link
|
Neil He 路 Yang 路 ZHITAO YING
馃敆
|
-
|
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
(
Poster
)
>
link
|
Yoav Gelberg 路 Tycho van der Ouderaa 路 Mark van der Wilk 路 Yarin Gal
馃敆
|
-
|
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
(
Poster
)
>
link
|
Charumathi Badrinath 路 Usha Bhalla 路 Alex Oesterling 路 Suraj Srinivas 路 Himabindu Lakkaraju
馃敆
|
-
|
Leveraging Topological Guidance for Improved Knowledge Distillation
(
Poster
)
>
link
|
Eunsom Jeon 路 Rahul Khurana 路 Aishani Pathak 路 Pavan Turaga
馃敆
|
-
|
Geometric algebra transformers for large 3D meshes via cross-attention
(
Poster
)
>
link
|
Julian Suk 路 Pim de Haan 路 Baris Imre 路 Jelmer Wolterink
馃敆
|
-
|
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
(
Poster
)
>
link
|
Martin Lindstr枚m 路 Borja Rodr铆guez G谩lvez 路 Ragnar Thobaben 路 Mikael Skoglund
馃敆
|
-
|
CoordConformer: Heterogenous EEG datasets decoding using Transformers
(
Poster
)
>
link
|
Sharat Patil 路 Robin Tibor Schirrmeister 路 Frank Hutter 路 Tonio Ball
馃敆
|
-
|
Unsupervised Ground Metric Learning with Tree Wasserstein Distance
(
Poster
)
>
link
|
Kira D眉sterwald 路 Makoto Yamada
馃敆
|
-
|
Revisiting Random Walks for Learning on Graphs
(
Poster
)
>
link
|
Jinwoo Kim 路 Olga Zaghen 路 Ayhan Suleymanzade 路 Youngmin Ryou 路 Seunghoon Hong
馃敆
|
-
|
Alignment of MPNNs and Graph Transformers
(
Poster
)
>
link
|
Bao Nguyen 路 Anjana Yodaiken 路 Petar Veli膷kovi膰
馃敆
|
-
|
Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians
(
Poster
)
>
link
|
Olga Zaghen 路 Antonio Longa 路 Steve Azzolin 路 Lev Telyatnikov 路 Andrea Passerini 路 Pietro Li贸
馃敆
|
-
|
SINR: Equivariant Neural Vector Fields
(
Poster
)
>
link
|
David Ruhe 路 Patrick Forr茅
馃敆
|
-
|
Temporal Graph Rewiring with Expander Graphs
(
Poster
)
>
link
|
Katarina Petrovi膰 路 Shenyang (Andy) Huang 路 Farimah Poursafaei 路 Petar Veli膷kovi膰
馃敆
|
-
|
Towards General Geometries for Embedding Knowledge Graphs
(
Poster
)
>
link
|
Samuel Matthiesen 路 Tino Paulsen 路 Sebastian Mair
馃敆
|
-
|
Invertible Temper Modeling using Normalizing Flows and the Effects of Structure Preserving Loss
(
Poster
)
>
link
|
Tegan Emerson 路 Henry Kvinge 路 Keerti Kappagantula 路 Sylvia Howland
馃敆
|
-
|
Graph Convolutional Networks for Learning Laplace-Beltrami Operators
(
Poster
)
>
link
|
Yingying Wu 路 Roger Fu 路 Richard Peng 路 Qifeng Chen
馃敆
|
-
|
Path Complex Neural Network for Molecular Property Prediction
(
Poster
)
>
link
|
Longlong Li 路 Xiang LIU 路 Guanghui Wang 路 Yu Guang Wang 路 Kelin Xia
馃敆
|
-
|
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford GNNs
(
Poster
)
>
link
|
Cong Liu 路 David Ruhe 路 Patrick Forr茅
馃敆
|
-
|
Geometry-Aware Autoencoders for Metric Learning and Generative Modeling on Data Manifolds
(
Poster
)
>
link
|
Xingzhi Sun 路 Danqi Liao 路 Kincaid Macdonald 路 Yanlei Zhang 路 Guillaume Huguet 路 Guy Wolf 路 Ian Adelstein 路 Tim G. J. Rudner 路 Smita Krishnaswamy
馃敆
|
-
|
Geometry Fidelity for Spherical Images
(
Poster
)
>
link
|
Anders Christensen 路 Nooshin Mojab 路 Khushman Patel 路 Karan Ahuja 路 Zeynep Akata 路 Ole Winther 路 Mar Gonzalez-Franco 路 Andrea Colaco
馃敆
|
-
|
A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation
(
Poster
)
>
link
|
Veronica Lachi 路 Francesco Ferrini 路 Antonio Longa 路 Bruno Lepri 路 Andrea Passerini
馃敆
|
-
|
3D Shape Completion with Test-Time Training
(
Poster
)
>
link
|
Michael Schopf-Kuester 路 Zorah L盲hner 路 Michael Moeller
馃敆
|
-
|
Learning Diffeomorphic Lyapunov Functions from Data
(
Poster
)
>
link
|
Samuel Tesfazgi 路 Leonhard Sprandl 路 Sandra Hirche
馃敆
|
-
|
Probabilistic World Modeling with Asymmetric Distance Measure
(
Poster
)
>
link
|
Meng Song
馃敆
|
-
|
UHCone: Universal Hyperbolic Cone For Implicit Hierarchical Learning
(
Poster
)
>
link
|
Yang 路 Jiahong Liu 路 Irwin King 路 ZHITAO YING
馃敆
|
-
|
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
(
Poster
)
>
link
|
Soutrik Roy Chowdhury
馃敆
|
-
|
Gaussian Process-Based Representation Learning via Timeseries Symmetries
(
Poster
)
>
link
|
Petar Bevanda 路 Max Beier 路 Armin Lederer 路 Alexandre Capone 路 Stefan Sosnowski 路 Sandra Hirche
馃敆
|
-
|
Decoder ensembling for learned latent geometries
(
Poster
)
>
link
|
Stas Syrota 路 Pablo Moreno-Mu帽oz 路 S酶ren Hauberg
馃敆
|
-
|
Scalable Local Intrinsic Dimension Estimation with Diffusion Models
(
Poster
)
>
link
|
Hamidreza Kamkari 路 Brendan Ross 路 Rasa Hosseinzadeh 路 Jesse Cresswell 路 Gabriel Loaiza-Ganem
馃敆
|
-
|
Mixed-Curvature Decision Trees and Random Forests
(
Poster
)
>
link
|
Philippe Chlenski 路 Quentin Chu 路 Itsik Pe'er
馃敆
|
-
|
SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors
(
Poster
)
>
link
|
Diogo Lavado 路 Claudia Soares 路 Alessandra Micheletti
馃敆
|
-
|
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
(
Poster
)
>
link
|
Abihith Kothapalli 路 Ashkan Shahbazi 路 XINRAN LIU 路 Robert Sheng 路 Soheil Kolouri
馃敆
|
-
|
Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-series
(
Poster
)
>
link
|
Noga Mudrik 路 Yenho Chen 路 Eva Yezerets 路 Christopher Rozell 路 Adam Charles
馃敆
|
-
|
Metric Learning for Clifford Group Equivariant Neural Networks
(
Poster
)
>
link
|
Riccardo Maria Ali 路 Paulina Kulyt臈 路 Haitz S谩ez de Oc谩riz Borde 路 Pietro Li贸
馃敆
|
-
|
What Makes a Machine Learning Task a Good Candidate for an Equivariant Network?
(
Poster
)
>
link
|
Scott Mahan 路 Davis Brown 路 Tim Doster 路 Henry Kvinge
馃敆
|
-
|
Permutation Tree Invariant Neural Architectures
(
Poster
)
>
link
|
Johannes Urban 路 Sebastian Tschiatschek 路 Nils M. Kriege
馃敆
|
-
|
Constructing gauge-invariant neural networks for scientific applications
(
Poster
)
>
link
|
Emmanouil Theodosis 路 Demba Ba 路 Nima Dehmamy
馃敆
|
-
|
Improving Equivariant Networks with Probabilistic Symmetry Breaking
(
Poster
)
>
link
|
Hannah Lawrence 路 Vasco Portilheiro 路 Yan Zhang 路 S茅kou-Oumar Kaba
馃敆
|
-
|
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
(
Poster
)
>
link
|
Ferran Hernandez Caralt 路 Guillermo Bernardez 路 Iulia Duta 路 Eduard Alarcon 路 Pietro Li贸
馃敆
|
-
|
Understanding Hallucinations in Diffusion Models through Mode Interpolation
(
Poster
)
>
link
|
Sumukh K Aithal 路 Pratyush Maini 路 Zachary Lipton
馃敆
|
-
|
The Price of Freedom: Exploring Tradeoffs between Expressivity and Computational Efficiency in Equivariant Tensor Products
(
Poster
)
>
link
|
YuQing Xie 路 Ameya Daigavane 路 Mit Kotak 路 Tess Smidt
馃敆
|
-
|
E(n) Equivariant Message Passing Cellular Networks
(
Poster
)
>
link
|
Veljko Kova膷 路 Erik Bekkers 路 Pietro Li贸 路 Floor Eijkelboom
馃敆
|
-
|
The NGT200 Dataset - Geometric Multi-View Isolated Sign Recognition
(
Poster
)
>
link
|
Oline Ranum 路 David Wessels 路 Gom猫r Otterspeer 路 Erik Bekkers 路 Floris Roelofsen 路 Jari Andersen
馃敆
|
-
|
Learning symmetries via weight-sharing with doubly stochastic tensors
(
Poster
)
>
link
|
Putri van der Linden 路 Alejandro Garc铆a Castellanos 路 Sharvaree Vadgama 路 Thijs Kuipers 路 Erik Bekkers
馃敆
|