Christopher Pal

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 49

Top Topics

Motion Prediction

Diffusion Models

Tumor Segmentation

Top Venues

Trans. Mach. Learn. Res.

Publications

Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. ICLR (2024)
Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR (2024)
Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal
Exploring validation metrics for offline model-based optimisation with diffusion models. Trans. Mach. Learn. Res. 2024 (2024)
João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR (2024)
Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, Christopher Pal, Roland Siegwart
Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots. ICRA (2024)
Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion. CoRR (2024)
Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher Pal
LitLLM: A Toolkit for Scientific Literature Review. CoRR (2024)
Zhi Hao Luo, Luis Lara, Ge Ya Luo, Florian Golemo, Christopher Beckham, Christopher Pal
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design. CoRR (2024)
Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, Christopher Pal, Roland Siegwart
Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots. CoRR (2024)
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR (2024)
Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. CoRR (2024)
Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations. CoRR (2024)
Christopher Beckham, Christopher Pal
Conservative objective models are a special kind of contrastive divergence-based energy model. CoRR (2023)
Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
Bridging the Gap Between Target Networks and Functional Regularization. Trans. Mach. Learn. Res. 2023 (2023)
Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR (2023)
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy
Are Diffusion Models Vision-And-Language Reasoners? CoRR (2023)
Stefania Raimondo, Christopher Pal, Xiaotian Liu, David Vázquez, Héctor Palacios
Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans. CoRR (2023)
Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal
Parallel-mentoring for Offline Model-based Optimization. CoRR (2023)
Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar
Score-based Diffusion Models in Function Space. CoRR (2023)
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio
Neural Causal Structure Discovery from Interventions. Trans. Mach. Learn. Res. 2023 (2023)
Mahan Fathi, Jonathan Pilault, Pierre-Luc Bacon, Christopher Pal, Orhan Firat, Ross Goroshin
Block-State Transformer. CoRR (2023)
Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai, Christopher Pal
Visual question answering from another perspective: CLEVR mental rotation tests. Pattern Recognit. 136 (2023)
Julien Roy, Pierre-Luc Bacon, Christopher Pal, Emmanuel Bengio
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design. CoRR (2023)
Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vázquez, Pau Rodríguez, Christopher Pal
Workflow Discovery from Dialogues in the Low Data Regime. Trans. Mach. Learn. Res. 2023 (2023)
Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR (2023)
Juan A. Rodriguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli
StarVector: Generating Scalable Vector Graphics Code from Images. CoRR (2023)
Glen Berseth, Florian Golemo, Christopher Pal
Towards Learning to Imitate from a Single Video Demonstration. J. Mach. Learn. Res. 24 (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar
Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoRR (2022)
Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu
Learning Multi-Objective Curricula for Robotic Policy Learning. CoRL (2022)
Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar
Improving Meta-Learning Generalization with Activation-Based Early-Stopping. CoLLAs (2022)
Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal
Overcoming challenges in leveraging GANs for few-shot data augmentation. CoLLAs (2022)
Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. ICLR (2022)
Mattie Tesfaldet, Derek Nowrouzezahrai, Christopher Pal
Attention-based Neural Cellular Automata. CoRR (2022)
Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai, Christopher Pal
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests. CoRR (2022)
Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal
Towards good validation metrics for generative models in offline model-based optimisation. CoRR (2022)
Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher Pal, Pierre-Yves Oudeyer
Learning to Guide and to be Guided in the Architect-Builder Problem. ICLR (2022)
Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. CoRR (2022)
Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vasquez, Christopher Pal
Using Graph Algorithms to Pretrain Graph Completion Transformers. CoRR (2022)
Nicolas Gontier, Siva Reddy, Christopher Pal
Does Entity Abstraction Help Generative Transformers Reason? Trans. Mach. Learn. Res. 2022 (2022)
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. CoRR (2022)
Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
Bridging the Gap Between Target Networks and Functional Regularization. CoRR (2022)
Nicolas Gontier, Siva Reddy, Christopher Pal
Does entity abstraction help generative Transformers reason? CoRR (2022)
Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. SIGGRAPH Asia Technical Communications (2022)
Vikram Voleti, Christopher Pal, Adam M. Oberman
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models. CoRR (2022)
Mats L. Richter, Christopher Pal
Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance. CoRR (2022)
David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal
Simple Video Generation using Neural ODEs. CoRR (2021)
Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
Measuring Systematic Generalization in Neural Proof Generation with Transformers. NeurIPS (2020)
Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
Measuring Systematic Generalization in Neural Proof Generation with Transformers. CoRR (2020)