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Workshop

UniReps: Unifying Representations in Neural Models

Marco Fumero ⋅ Emanuele Rodolà ⋅ Francesco Locatello ⋅ Gintare Karolina Dziugaite ⋅ Mathilde Caron ⋅ Clémentine Dominé
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Abstract

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Schedule

Timezone: America/Los_Angeles
6:15 AM
Opening Remarks
8:00 AM
Coffee break
9:45 AM
Round Table
10:30 AM
Lunch
1:15 PM
Poster session
Characterizing pre-trained and task-adapted molecular representations
Celia Cintas ⋅ Payel Das ⋅ Jarret Ross ⋅ Brian Belgodere ⋅ Girmaw Abebe Tadesse ⋅ Vijil Chenthamarakshan ⋅ Jannis Born ⋅ Skyler D. Speakman
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
Yufan Zhuang ⋅ Zihan Wang ⋅ Fangbo Tao ⋅ Jingbo Shang
Grokking as Simplification: A Nonlinear Complexity Perspective
Ziming Liu ⋅ Ziqian Zhong ⋅ Max Tegmark
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
Marvin Schmitt ⋅ Daniel Habermann ⋅ Paul-Christian Bürkner ⋅ Ullrich Köthe ⋅ Stefan Radev
What Does Knowledge Distillation Distill?
Cindy Wu ⋅ Ekdeep S Lubana ⋅ Bruno Mlodozeniec ⋅ Robert Kirk ⋅ David Krueger
Comparing Representational and Functional Similarity in Small Transformer Language Models
Dan Friedman ⋅ Andrew Lampinen ⋅ Lucas Dixon ⋅ Danqi Chen ⋅ Asma Ghandeharioun
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
Benjamin Cappell ⋅ Andreas Stoll ⋅ Chukwudi Umah ⋅ Bernhard Egger
Multimodal decoding of human brain activity into images and text
Matteo Ferrante ⋅ Tommaso Boccato ⋅ Furkan Ozcelik ⋅ Rufin VanRullen ⋅ Nicola Toschi
Instruction-tuned LLMs with World Knowledge are More Aligned to the Human Brain
Khai Loong Aw ⋅ Syrielle Montariol ⋅ Badr AlKhamissi ⋅ Martin Schrimpf ⋅ Antoine Bosselut
On Transferring Expert Knowledge from Tabular Data to Images
Jun-Peng Jiang ⋅ Han-Jia Ye ⋅ Leye Wang ⋅ Yang Yang ⋅ Yuan Jiang ⋅ De-Chuan Zhan
On the Robustness of Neural Collapse and the Neural Collapse of Robustness
Jingtong Su ⋅ Ya Shi Zhang ⋅ Nikolaos Tsilivis ⋅ Julia Kempe
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Muhammad Osama Khan ⋅ Junbang Liang ⋅ Chun-Kai Wang ⋅ Shan Yang ⋅ Yu Lou
Linearly Structured World Representations in Maze-Solving Transformers
Michael Ivanitskiy ⋅ Alexander Spies ⋅ Tilman Räuker ⋅ Guillaume Corlouer ⋅ Christopher Mathwin ⋅ Lucia Quirke ⋅ Can Rager ⋅ Rusheb Shah ⋅ Dan Valentine ⋅ Cecilia Diniz Behn ⋅ Katsumi Inoue ⋅ Samy Wu Fung
A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel ⋅ Sabyasachi Shivkumar ⋅ Ralf Haefner
ZipIt!: Multitask Model Merging without Training
George Stoica ⋅ Daniel Bolya ⋅ Jakob Bjorner ⋅ Pratik Ramesh ⋅ Taylor Hearn ⋅ Judy Hoffman
Degradation and plasticity in convolutional neural networks: An investigation of internal representations
Jasmine Moore ⋅ Vibujithan Vigneshwaran ⋅ Matthias Wilms ⋅ Nils Daniel Forkert
On the Direct Alignment of Latent Spaces
Zorah Lähner ⋅ Michael Moeller
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Haoxiang Wang ⋅ Pavan Kumar Anasosalu Vasu ⋅ Fartash Faghri ⋅ Raviteja Vemulapalli ⋅ Mehrdad Farajtabar ⋅ Sachin Mehta ⋅ Mohammad Rastegari ⋅ Oncel Tuzel ⋅ Hadi Pouransari
Comparing neural models using their perceptual discriminability predictions
Jingyang Zhou ⋅ Chanwoo Chun ⋅ Ajay Subramanian ⋅ Eero Simoncelli
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
Mohammadreza (Reza) Salehi ⋅ Mehrdad Farajtabar ⋅ Maxwell Horton ⋅ Fartash Faghri ⋅ Hadi Pouransari ⋅ Raviteja Vemulapalli ⋅ Oncel Tuzel ⋅ Ali Farhadi ⋅ Mohammad Rastegari ⋅ Sachin Mehta
Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale
Chandana Kuntala ⋅ Deepak Sharma ⋅ Carlos Ponce ⋅ Binxu Wang
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
Andrew Ligeralde ⋅ Yilun Kuang ⋅ Thomas Yerxa ⋅ Miah Pitcher ⋅ Marla Feller ⋅ SueYeon Chung
Estimating shape distances on neural representations with limited samples
Dean Pospisil ⋅ Brett Larsen ⋅ Sarah Harvey ⋅ Alex Williams
Towards Measuring Representational Similarity of Large Language Models
Max Klabunde ⋅ Mehdi Ben Amor ⋅ Michael Granitzer ⋅ Florian Lemmerich
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification
Jennifer Crawford ⋅ Haoli Yin ⋅ Luke McDermott ⋅ Daniel Cummings
Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells
Rylan Schaeffer ⋅ Mikail Khona ⋅ Adrian Bertagnoli ⋅ Sanmi Koyejo ⋅ Ila Fiete
Understanding Mode Connectivity via Parameter Space Symmetry
Bo Zhao ⋅ Nima Dehmamy ⋅ Robin Walters ⋅ Rose Yu
Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
Yujia Bao ⋅ Srinivasan Sivanandan ⋅ Theofanis Karaletsos
DisCoV: Disentangling Time Series Representations via Contrastive based $l$-Variational Inference
Khalid OUBLAL ⋅ Said Ladjal ⋅ David Benhaiem ⋅ Emmanuel LE BORGNE ⋅ François Roueff
Mixture of Multimodal Interaction Experts
Haofei Yu ⋅ Paul Pu Liang ⋅ Russ Salakhutdinov ⋅ Louis-Philippe Morency
Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention
Yi-Fu Wu ⋅ Klaus Greff ⋅ Gamaleldin Elsayed ⋅ Michael Mozer ⋅ Thomas Kipf ⋅ Sjoerd van Steenkiste
Functional Modularity in Mind and Machine
Devon Jarvis ⋅ Richard Klein ⋅ Benjamin Rosman ⋅ Andrew Saxe
Are Spiking Neural Networks more expressive than Artificial Neural Networks?
Manjot Singh ⋅ Adalbert Fono ⋅ Gitta Kutyniok
Disentangling Linear Mode Connectivity
Gül Sena Altıntaş ⋅ Gregor Bachmann ⋅ Lorenzo Noci ⋅ Thomas Hofmann
Model Merging by Gradient Matching
Nico Daheim ⋅ Thomas Möllenhoff ⋅ Edoardo Maria Ponti ⋅ Iryna Gurevych ⋅ Mohammad Emtiyaz Khan
Object-Centric Semantic Vector Quantization
Yi-Fu Wu ⋅ Minseung Lee ⋅ Sungjin Ahn
Evaluation of Representational Similarity Scores Across Human Visual Cortex
Francisco Acosta ⋅ Colin Conwell ⋅ David Klindt ⋅ Nina Miolane
Implicit Representations for Image Segmentation
Jan Philipp Schneider ⋅ Mishal Fatima ⋅ Jovita Lukasik ⋅ Andreas Kolb ⋅ Margret Keuper ⋅ Michael Moeller
Ecological data and objectives align deep neural network representations with humans
Akash Nagaraj ⋅ Alekh Karkada Ashok ⋅ Drew Linsley ⋅ Francis Lewis ⋅ Peisen Zhou ⋅ Thomas Serre
Visual Expertise Explains Image Inversion Effects
Martha Gahl ⋅ Shubham Kulkarni ⋅ Nikhil Pathak ⋅ Alex Russell ⋅ Gary Cottrell
How Good is a Single Basin?
Kai Lion ⋅ Gregor Bachmann ⋅ Lorenzo Noci ⋅ Thomas Hofmann
Subjective Randomness and In-Context Learning
Eric Bigelow ⋅ Ekdeep S Lubana ⋅ Robert Dick ⋅ Hidenori Tanaka ⋅ Tomer Ullman
On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination
Daniel Gedon ⋅ Amirhesam Abedsoltan ⋅ Thomas Schön ⋅ Misha Belkin
Revisiting Supervision for Continual Representation Learning
Daniel Marczak ⋅ Sebastian Cygert ⋅ Tomasz Trzcinski ⋅ Bartłomiej Twardowski
Role Taxonomy of Units in Deep Neural Networks
Yang Zhao ⋅ Hao Zhang ⋅ Xiuyuan Hu
A sparse null code emerges in deep neural networks
Brian Robinson ⋅ Nathan Drenkow ⋅ Colin Conwell ⋅ Michael Bonner
How does fine-tuning affect your model? Mechanistic analysis on procedural tasks
Samyak Jain ⋅ Robert Kirk ⋅ Ekdeep S Lubana ⋅ Robert Dick ⋅ Hidenori Tanaka ⋅ Tim Rocktäschel ⋅ Edward Grefenstette ⋅ David Krueger
Variational Classification
Shehzaad Dhuliawala ⋅ Mrinmaya Sachan ⋅ Carl Allen
Hybrid Early Fusion for Multi-Modal Biomedical Representations
Konstantin Hemker ⋅ Nikola Simidjievski ⋅ Mateja Jamnik
Linear Mode Connectivity in Sparse Neural Networks
Luke McDermott ⋅ Daniel Cummings
Distributional Reinforcement Learning in the Mammalian Brain
Adam Lowet ⋅ Qiao Zheng ⋅ Melissa Meng ⋅ Sara Matias ⋅ Jan Drugowitsch ⋅ Naoshige Uchida
On consequences of finetuning on data with highly discriminative features
Wojciech Masarczyk ⋅ Tomasz Trzcinski ⋅ Mateusz Ostaszewski
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations
Berivan Isik ⋅ Victor Lecomte ⋅ Rylan Schaeffer ⋅ Yann LeCun ⋅ Mikail Khona ⋅ Ravid Shwartz-Ziv ⋅ Sanmi Koyejo ⋅ Andrey Gromov
SHARCS: Shared Concept Space for\\Explainable Multimodal Learning
Gabriele Dominici ⋅ Pietro Barbiero ⋅ Lucie Charlotte Magister ⋅ Pietro Lió ⋅ Nikola Simidjievski
Sufficient conditions for offline reactivation in recurrent neural networks
Nanda H Krishna ⋅ Colin Bredenberg ⋅ Daniel Levenstein ⋅ Blake Richards ⋅ Guillaume Lajoie
On the universality of neural codes in vision
Florentin Guth ⋅ Brice Ménard
Event-Based Contrastive Learning for Medical Time Series
Hyewon Jeong ⋅ Nassim Oufattole ⋅ Aparna Balagopalan ⋅ Matthew McDermott ⋅ Payal Chandak ⋅ Marzyeh Ghassemi ⋅ Collin Stultz
Multi-timescale reinforcement learning in the brain
Paul Masset ⋅ Pablo Tano ⋅ HyungGoo Kim ⋅ Athar Malik ⋅ Alexandre Pouget ⋅ Naoshige Uchida
ZipIt!: Multitask Model Merging without Training
George Stoica ⋅ Daniel Bolya ⋅ Jakob Bjorner ⋅ Pratik Ramesh ⋅ Taylor Hearn ⋅ Judy Hoffman
Are Spiking Neural Networks more expressive than Artificial Neural Networks?
Manjot Singh ⋅ Adalbert Fono ⋅ Gitta Kutyniok
A sparse null code emerges in deep neural networks
Brian Robinson ⋅ Nathan Drenkow ⋅ Colin Conwell ⋅ Michael Bonner
Distributional Reinforcement Learning in the Mammalian Brain
Adam Lowet ⋅ Qiao Zheng ⋅ Melissa Meng ⋅ Sara Matias ⋅ Jan Drugowitsch ⋅ Naoshige Uchida
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations
Berivan Isik ⋅ Victor Lecomte ⋅ Rylan Schaeffer ⋅ Yann LeCun ⋅ Mikail Khona ⋅ Ravid Shwartz-Ziv ⋅ Sanmi Koyejo ⋅ Andrey Gromov
Characterizing pre-trained and task-adapted molecular representations
Celia Cintas ⋅ Payel Das ⋅ Jarret Ross ⋅ Brian Belgodere ⋅ Girmaw Abebe Tadesse ⋅ Vijil Chenthamarakshan ⋅ Jannis Born ⋅ Skyler D. Speakman
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
Yufan Zhuang ⋅ Zihan Wang ⋅ Fangbo Tao ⋅ Jingbo Shang
Grokking as Simplification: A Nonlinear Complexity Perspective
Ziming Liu ⋅ Ziqian Zhong ⋅ Max Tegmark
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
Marvin Schmitt ⋅ Daniel Habermann ⋅ Paul-Christian Bürkner ⋅ Ullrich Köthe ⋅ Stefan Radev
What Does Knowledge Distillation Distill?
Cindy Wu ⋅ Ekdeep S Lubana ⋅ Bruno Mlodozeniec ⋅ Robert Kirk ⋅ David Krueger
Comparing Representational and Functional Similarity in Small Transformer Language Models
Dan Friedman ⋅ Andrew Lampinen ⋅ Lucas Dixon ⋅ Danqi Chen ⋅ Asma Ghandeharioun
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
Benjamin Cappell ⋅ Andreas Stoll ⋅ Chukwudi Umah ⋅ Bernhard Egger
Multimodal decoding of human brain activity into images and text
Matteo Ferrante ⋅ Tommaso Boccato ⋅ Furkan Ozcelik ⋅ Rufin VanRullen ⋅ Nicola Toschi
Instruction-tuned LLMs with World Knowledge are More Aligned to the Human Brain
Khai Loong Aw ⋅ Syrielle Montariol ⋅ Badr AlKhamissi ⋅ Martin Schrimpf ⋅ Antoine Bosselut
On Transferring Expert Knowledge from Tabular Data to Images
Jun-Peng Jiang ⋅ Han-Jia Ye ⋅ Leye Wang ⋅ Yang Yang ⋅ Yuan Jiang ⋅ De-Chuan Zhan
On the Robustness of Neural Collapse and the Neural Collapse of Robustness
Jingtong Su ⋅ Ya Shi Zhang ⋅ Nikolaos Tsilivis ⋅ Julia Kempe
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Muhammad Osama Khan ⋅ Junbang Liang ⋅ Chun-Kai Wang ⋅ Shan Yang ⋅ Yu Lou
Linearly Structured World Representations in Maze-Solving Transformers
Michael Ivanitskiy ⋅ Alexander Spies ⋅ Tilman Räuker ⋅ Guillaume Corlouer ⋅ Christopher Mathwin ⋅ Lucia Quirke ⋅ Can Rager ⋅ Rusheb Shah ⋅ Dan Valentine ⋅ Cecilia Diniz Behn ⋅ Katsumi Inoue ⋅ Samy Wu Fung
A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel ⋅ Sabyasachi Shivkumar ⋅ Ralf Haefner
Degradation and plasticity in convolutional neural networks: An investigation of internal representations
Jasmine Moore ⋅ Vibujithan Vigneshwaran ⋅ Matthias Wilms ⋅ Nils Daniel Forkert
On the Direct Alignment of Latent Spaces
Zorah Lähner ⋅ Michael Moeller
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Haoxiang Wang ⋅ Pavan Kumar Anasosalu Vasu ⋅ Fartash Faghri ⋅ Raviteja Vemulapalli ⋅ Mehrdad Farajtabar ⋅ Sachin Mehta ⋅ Mohammad Rastegari ⋅ Oncel Tuzel ⋅ Hadi Pouransari
Comparing neural models using their perceptual discriminability predictions
Jingyang Zhou ⋅ Chanwoo Chun ⋅ Ajay Subramanian ⋅ Eero Simoncelli
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
Mohammadreza (Reza) Salehi ⋅ Mehrdad Farajtabar ⋅ Maxwell Horton ⋅ Fartash Faghri ⋅ Hadi Pouransari ⋅ Raviteja Vemulapalli ⋅ Oncel Tuzel ⋅ Ali Farhadi ⋅ Mohammad Rastegari ⋅ Sachin Mehta
Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale
Chandana Kuntala ⋅ Deepak Sharma ⋅ Carlos Ponce ⋅ Binxu Wang
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
Andrew Ligeralde ⋅ Yilun Kuang ⋅ Thomas Yerxa ⋅ Miah Pitcher ⋅ Marla Feller ⋅ SueYeon Chung
Estimating shape distances on neural representations with limited samples
Dean Pospisil ⋅ Brett Larsen ⋅ Sarah Harvey ⋅ Alex Williams
Towards Measuring Representational Similarity of Large Language Models
Max Klabunde ⋅ Mehdi Ben Amor ⋅ Michael Granitzer ⋅ Florian Lemmerich
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification
Jennifer Crawford ⋅ Haoli Yin ⋅ Luke McDermott ⋅ Daniel Cummings
Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells
Rylan Schaeffer ⋅ Mikail Khona ⋅ Adrian Bertagnoli ⋅ Sanmi Koyejo ⋅ Ila Fiete
Understanding Mode Connectivity via Parameter Space Symmetry
Bo Zhao ⋅ Nima Dehmamy ⋅ Robin Walters ⋅ Rose Yu
Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
Yujia Bao ⋅ Srinivasan Sivanandan ⋅ Theofanis Karaletsos
DisCoV: Disentangling Time Series Representations via Contrastive based $l$-Variational Inference
Khalid OUBLAL ⋅ Said Ladjal ⋅ David Benhaiem ⋅ Emmanuel LE BORGNE ⋅ François Roueff
Mixture of Multimodal Interaction Experts
Haofei Yu ⋅ Paul Pu Liang ⋅ Russ Salakhutdinov ⋅ Louis-Philippe Morency
Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention
Yi-Fu Wu ⋅ Klaus Greff ⋅ Gamaleldin Elsayed ⋅ Michael Mozer ⋅ Thomas Kipf ⋅ Sjoerd van Steenkiste
Functional Modularity in Mind and Machine
Devon Jarvis ⋅ Richard Klein ⋅ Benjamin Rosman ⋅ Andrew Saxe
Disentangling Linear Mode Connectivity
Gül Sena Altıntaş ⋅ Gregor Bachmann ⋅ Lorenzo Noci ⋅ Thomas Hofmann
Model Merging by Gradient Matching
Nico Daheim ⋅ Thomas Möllenhoff ⋅ Edoardo Maria Ponti ⋅ Iryna Gurevych ⋅ Mohammad Emtiyaz Khan
Object-Centric Semantic Vector Quantization
Yi-Fu Wu ⋅ Minseung Lee ⋅ Sungjin Ahn
Evaluation of Representational Similarity Scores Across Human Visual Cortex
Francisco Acosta ⋅ Colin Conwell ⋅ David Klindt ⋅ Nina Miolane
Implicit Representations for Image Segmentation
Jan Philipp Schneider ⋅ Mishal Fatima ⋅ Jovita Lukasik ⋅ Andreas Kolb ⋅ Margret Keuper ⋅ Michael Moeller
Ecological data and objectives align deep neural network representations with humans
Akash Nagaraj ⋅ Alekh Karkada Ashok ⋅ Drew Linsley ⋅ Francis Lewis ⋅ Peisen Zhou ⋅ Thomas Serre
Visual Expertise Explains Image Inversion Effects
Martha Gahl ⋅ Shubham Kulkarni ⋅ Nikhil Pathak ⋅ Alex Russell ⋅ Gary Cottrell
How Good is a Single Basin?
Kai Lion ⋅ Gregor Bachmann ⋅ Lorenzo Noci ⋅ Thomas Hofmann
Subjective Randomness and In-Context Learning
Eric Bigelow ⋅ Ekdeep S Lubana ⋅ Robert Dick ⋅ Hidenori Tanaka ⋅ Tomer Ullman
On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination
Daniel Gedon ⋅ Amirhesam Abedsoltan ⋅ Thomas Schön ⋅ Misha Belkin
Revisiting Supervision for Continual Representation Learning
Daniel Marczak ⋅ Sebastian Cygert ⋅ Tomasz Trzcinski ⋅ Bartłomiej Twardowski
Role Taxonomy of Units in Deep Neural Networks
Yang Zhao ⋅ Hao Zhang ⋅ Xiuyuan Hu
How does fine-tuning affect your model? Mechanistic analysis on procedural tasks
Samyak Jain ⋅ Robert Kirk ⋅ Ekdeep S Lubana ⋅ Robert Dick ⋅ Hidenori Tanaka ⋅ Tim Rocktäschel ⋅ Edward Grefenstette ⋅ David Krueger
Variational Classification
Shehzaad Dhuliawala ⋅ Mrinmaya Sachan ⋅ Carl Allen
Hybrid Early Fusion for Multi-Modal Biomedical Representations
Konstantin Hemker ⋅ Nikola Simidjievski ⋅ Mateja Jamnik
Linear Mode Connectivity in Sparse Neural Networks
Luke McDermott ⋅ Daniel Cummings
On consequences of finetuning on data with highly discriminative features
Wojciech Masarczyk ⋅ Tomasz Trzcinski ⋅ Mateusz Ostaszewski
SHARCS: Shared Concept Space for\\Explainable Multimodal Learning
Gabriele Dominici ⋅ Pietro Barbiero ⋅ Lucie Charlotte Magister ⋅ Pietro Lió ⋅ Nikola Simidjievski
Sufficient conditions for offline reactivation in recurrent neural networks
Nanda H Krishna ⋅ Colin Bredenberg ⋅ Daniel Levenstein ⋅ Blake Richards ⋅ Guillaume Lajoie
On the universality of neural codes in vision
Florentin Guth ⋅ Brice Ménard
Event-Based Contrastive Learning for Medical Time Series
Hyewon Jeong ⋅ Nassim Oufattole ⋅ Aparna Balagopalan ⋅ Matthew McDermott ⋅ Payal Chandak ⋅ Marzyeh Ghassemi ⋅ Collin Stultz
Multi-timescale reinforcement learning in the brain
Paul Masset ⋅ Pablo Tano ⋅ HyungGoo Kim ⋅ Athar Malik ⋅ Alexandre Pouget ⋅ Naoshige Uchida