17.10.2024

44 papers at NeurIPS 2024 accepted

At this year's NeurIPS conference, 44 papers were accepted from researchers in our Cluster.

The 38th Conference on Neural Information Processing Systems (NeurIPS) is held at the Vancouver Convention Center from December 10-15, 2024. The purpose of the annual meetings is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their field.

This year our Cluster is represented with 44 papers at NeurIPS.

List of titles of the papers by our members (check out the rest of the accepted papers here):

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