17.10.2024

44 Paper bei NeurIPS 2024 akzeptiert

Bei der diesjährigen NeurIPS-Konferenz wurden 44 Beiträge von Forschenden unseres Exzellenzclusters akzeptiert.

Die 38. Konferenz zu Neural Information Processing Systems (NeurIPS) findet am Vancouver Convention Center in Kanada vom 10. - 15. Dezember 2024 statt. NeurIPS ist die größte Konferenz für Maschinelles Lernen und Computational Neuroscience. Ziel der jährlichen Treffen ist es, den Forschungsaustausch zu neuronalen Informationsverarbeitungssysteme in ihren biologischen, technologischen, mathematischen und theoretischen Aspekten zu fördern. Der Schwerpunkt liegt auf peer-reviewed, neuartigen Forschungsarbeiten, die in einer allgemeinen Session vorgestellt und diskutiert werden, sowie auf eingeladenen Vorträgen von ausgewiesenen Experten.

In diesem Jahr ist unser Cluster mit 44 Papern auf der NeurIPS vertreten.

Liste der akzeptierten Beiträge unserer Mitglieder (alle Beiträge sind hier zu finden):

  1. Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler
    FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
  2. Sebastian Damrich, Philipp Berens, Dmitry Kobak
    Persistent Homology for High-dimensional Data Based on Spectral Methods
  3. Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier Henaff, Samuel Albanie, Matthias Bethge, Zeynep Akata
    A Practitioner's Guide to Real-World Continual Multimodal Pretraining
  4. Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
    No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
  5. Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge
    CiteME: Can Language Models Accurately Cite Scientific Claims?
  6. Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
    Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
  7. Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie
    Efficient Lifelong Model Evaluation in an Era of Rapid Progress
  8. Anna Mészáros, Patrik Reizinger, Szilvia Ujváry, Wieland Brendel, Ferenc Huszar
    Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
  9. Roland S. Zimmermann, David Klindt, Wieland Brendel
    Measuring Per-Unit Interpretability at Scale Without Humans
  10. Tankred Saanum, Peter Dayan, Eric Schulz
    Simplifying Latent Dynamics with Softly State-Invariant World Models
  11. Jack Merullo, Carsten Eickhoff, Ellie Pavlick
    Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models
  12. Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger
    Renovating Names in Open-Vocabulary Segmentation Benchmarks
  13. Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
    Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
  14. Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
    NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
  15. Alexander Lappe, Anna Bognár, Ghazaleh Ghamkahri Nejad, Albert Mukovskiy, Lucas Martini, Martin Giese, Rufin Vogels
    Parallel Backpropagation for Shared-Feature Visualization
  16. Vivian Nastl, Moritz Hardt
    Do causal predictors generalize better to new domains?
  17. Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
    Questioning the Survey Responses of Large Language Models
  18. Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
    An engine not a camera: Measuring performative power of online search
  19. André F. Cruz, Celestine Mendler-Dünner, Moritz Hardt
    Evaluate calibration of language models with folktexts
  20. Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
    Reparameterization invariance in approximate Bayesian inference
  21. Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob Gardner, Geoff Pleiss, John Cunningham
    Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
  22. Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh
    Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
  23. Irene Huang, Wei Lin, Muhammad Mirza, Jacob Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky
    ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
  24. Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
    Fishers and Hessians of Continuous Relaxations
  25. Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
    Convolutional Differentiable Logic Gate Networks
  26. Jan-Niklas Dihlmann, Arjun Majumdar, Andreas Engelhardt, Raphael Braun, Hendrik PA Lensch
    Subsurface Scattering for Gaussian Splatting
  27. Robi Bhattacharjee, Ulrike Luxburg
    Auditing Local Explanations is Hard
  28. Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H Macke
    Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
  29. Matthijs Pals, A Erdem Sağtekin, Felix Pei, Manuel Gloeckler, Jakob H Macke
    Inferring stochastic low-rank recurrent neural networks from neural data
  30. Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H Macke
    Latent Diffusion for Neural Spiking Data
  31. Joachim Baumann, Celestine Mendler-Dünner
    Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
  32. István Sárándi, Gerard Pons-Moll
    Neural Localization Fields for Continuous 3D Human Pose and Shape Estimation
  33. Yuxuan Xue, Xianghui Xie, Riccardo Marin, Gerard Pons-Moll
    Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
  34. Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
    ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
  35. Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
    Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
  36. Mohammad-Amin Charusaie, Samira Samadi
    A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
  37. Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej Baczkowski, Christian Doeller, Mona Garvert, Eric Schulz
    Evaluating alignment between humans and neural network representations in image-based learning tasks
  38. Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszar, Bernhard Schölkopf
    Do Finetti: On Causal Effects for Exchangeable Data
  39. Carl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey
    Metrizing Weak Convergence with Maximum Mean Discrepancies
  40. Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
    Cooperate or Collapse: Emergence of Sustainability in a Society of LLM Agents
  41. Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
    On Affine Homotopy between Language Encoders
  42. Sergio Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing
    Causal vs. Anticausal merging of predictors
  43. Goutham Rajendran, Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
    From Causal to Concept-Based Representation Learning
  44. Jonathan Thomm, Aleksandar Terzic, Giacomo Camposampiero, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi
    Limits of Transformer Language Models on Learning to Compose Algorithms

 

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