A Two-Ball Mouse Affords Three Degrees of Freedom. - I. Scott MacKenzie; R. William Soukoreff; Chris Pal (CHI Extended Abstracts, 1997)

A technique for illustrating dynamic component level interactions within a software architecture. - Chris Pal (CASCON, 1998)

Case Libraries and Information Theoretic Case Matching for Soil and Water Resources Management. - Sarah Dorner; Christopher J. Pal (ISESS, 1999)

Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. - Chris Pal; Brendan J. Frey; Nebojsa Jojic (ECCV (4), 2002)

Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation. - Chris Pal; Brendan J. Frey; Trausti T. Kristjansson (ICASSP, 2002)

Probability Models for High Dynamic Range Imaging. - Chris Pal; Richard Szeliski; Matthew Uyttendaele; Nebojsa Jojic (CVPR (2), 2004)

Interactive Montages of Sprites for Indexing and Summarizing Security Video. - Chris Pal; Nebojsa Jojic (CVPR (2), 2005)

Efficiently Registering Video into Panoramic Mosaics. - Drew Steedly; Chris Pal; Richard Szeliski (ICCV, 2005)

Panoramic viewfinder: providing a real-time preview to help users avoid flaws in panoramic pictures. - Patrick Baudisch; Desney S. Tan; Drew Steedly; Eric Rudolph; Matthew Uyttendaele; Chris Pal; Richard Szeliski (OZCHI, 2005)

Panoramic video textures. - Aseem Agarwala; Ke Colin Zheng; Chris Pal; Maneesh Agrawala; Michael F. Cohen; Brian Curless; David Salesin; Richard Szeliski (ACM Trans. Graph., 2005)

Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. - Andrew McCallum; Chris Pal; Gregory Druck; Xuerui Wang (AAAI, 2006)

CC Prediction with Graphical Models. - Chris Pal (CEAS, 2006)

Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields. - Chris Pal; Charles Sutton; Andrew McCallum (ICASSP (5), 2006)

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. - B. Michael Kelm; Chris Pal; Andrew McCallum (ICPR (2), 2006)

An Exploration of User Interface Designs for Real-Time Panoramic. - Patrick Baudisch; Desney S. Tan; Drew Steedly; Eric Rudolph; Matthew Uyttendaele; Chris Pal; Richard Szeliski (Australas. J. Inf. Syst., 2006)

Learning Conditional Random Fields for Stereo. - Daniel Scharstein; Chris Pal (CVPR, 2007)

Improving Author Coreference by Resource-Bounded Information Gathering from the Web. - Pallika H. Kanani; Andrew McCallum; Chris Pal (IJCAI, 2007)

Semi-supervised classification with hybrid generative/discriminative methods. - Gregory Druck; Chris Pal; Andrew McCallum; Xiaojin Zhu 001 (KDD, 2007)

Generalized component analysis for text with heterogeneous attributes. - Xuerui Wang; Chris Pal; Andrew McCallum (KDD, 2007)

Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering. - Manjunatha Jagalur; Chris Pal; Erik G. Learned-Miller; R. Thomas Zoeller; David Kulp (BMC Bioinform., 2007)

Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing. - Jerod J. Weinman; Lam C. Tran; Christopher J. Pal (ECCV (1), 2008)

Behavior Recognition in Video with Extended Models of Feature Velocity Dynamics. - Ross Messing; Christopher J. Pal (AAAI Spring Symposium: Human Behavior Modeling, 2009)

Activity recognition using the velocity histories of tracked keypoints. - Ross Messing; Christopher J. Pal; Henry A. Kautz (ICCV, 2009)

Semi-Supervised Learning of Visual Classifiers from Web Images and Text. - Nicholas Morsillo; Christopher J. Pal; Randal Nelson (IJCAI, 2009)

Cross Lingual Adaptation: An Experiment on Sentiment Classifications. - Bin Wei; Christopher J. Pal (ACL (2), 2010)

View synthesis based on Conditional Random Fields and graph cuts. - Lam C. Tran; Christopher J. Pal; Truong Q. Nguyen (ICIP, 2010)

YouTube Scale, Large Vocabulary Video Annotation. - Nicholas Morsillo; Gideon S. Mann; Christopher J. Pal (Video Search and Mining, 2010)

Heterogeneous Transfer Learning with RBMs. - Bin Wei; Christopher J. Pal (AAAI, 2011)

Semi Supervised Learning for Wild Faces and Video. - David Rim; Kamrul Hassan; Christopher J. Pal (BMVC, 2011)

Spatially consistent view synthesis with coordinate alignment. - Lam C. Tran; Ramsin Khoshabeh; Ankit K. Jain; Christopher J. Pal; Truong Q. Nguyen (ICASSP, 2011)

3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients. - Chetan Bhole; Nicholas Morsillo; Christopher J. Pal (MLMI, 2011)

Improving alignment of faces for recognition. - Md. Kamrul Hasan 004; Christopher J. Pal (ROSE, 2011)

Automated person segmentation in videos. - Chetan Bhole; Christopher J. Pal (ICPR, 2012)

On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference. - Christopher J. Pal; Jerod J. Weinman; Lam C. Tran; Daniel Scharstein (Int. J. Comput. Vis., 2012)

Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models. - Md. Kamrul Hasan 004; Christopher J. Pal; Sharon Moalem (ICCV Workshops, 2013)

Combining modality specific deep neural networks for emotion recognition in video. - Samira Ebrahimi Kahou; Christopher J. Pal; Xavier Bouthillier; Pierre Froumenty; Çaglar Gülçehre; Roland Memisevic; Pascal Vincent; Aaron C. Courville; Yoshua Bengio; Raul Chandias Ferrari; Mehdi Mirza; Sébastien Jean; et al. (ICMI, 2013)

Experiments on Visual Information Extraction with the Faces of Wikipedia. - Md. Kamrul Hasan 004; Christopher Joseph Pal (AAAI, 2014)

Facial Expression Analysis Based on High Dimensional Binary Features. - Samira Ebrahimi Kahou; Pierre Froumenty; Christopher J. Pal (ECCV Workshops (2), 2014)

3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. - Chetan Bhole; Christopher J. Pal; David Rim; Axel Wismüller (Mach. Vis. Appl., 2014)

Exploiting Determinism to Scale Relational Inference. - Mohamed Hamza Ibrahim; Christopher J. Pal; Gilles Pesant (AAAI, 2015)

Describing Videos by Exploiting Temporal Structure. - Li Yao; Atousa Torabi; Kyunghyun Cho; Nicolas Ballas; Christopher J. Pal; Hugo Larochelle; Aaron C. Courville (ICCV, 2015)

Recurrent Neural Networks for Emotion Recognition in Video. - Samira Ebrahimi Kahou; Vincent Michalski; Kishore Reddy Konda; Roland Memisevic; Christopher Joseph Pal (ICMI, 2015)

A Convolutional Neural Network Approach to Brain Tumor Segmentation. - Mohammad Havaei; Francis Dutil; Chris Pal; Hugo Larochelle; Pierre-Marc Jodoin (Brainles@MICCAI, 2015)

Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences. - Félix G. Harvey; Christopher J. Pal (CoRR, 2015)

Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research. - Atousa Torabi; Christopher J. Pal; Hugo Larochelle; Aaron C. Courville (CoRR, 2015)

Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism. - Li Yao; Atousa Torabi; Kyunghyun Cho; Nicolas Ballas; Christopher Joseph Pal; Hugo Larochelle; Aaron C. Courville (CoRR, 2015)

Learning from weakly labeled faces and video in the wild. - David Rim; Md. Kamrul Hasan 004; Fannie Puech; Christopher J. Pal (Pattern Recognit., 2015)

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. - Sina Honari; Jason Yosinski; Pascal Vincent; Christopher J. Pal (CVPR, 2016)

The Importance of Skip Connections in Biomedical Image Segmentation. - Michal Drozdzal; Eugene Vorontsov; Gabriel Chartrand; Samuel Kadoury; Chris Pal (LABELS/DLMIA@MICCAI, 2016)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

Delving Deeper into Convolutional Networks for Learning Video Representations. - Nicolas Ballas; Li Yao; Chris Pal; Aaron C. Courville (ICLR (Poster), 2016)

A simple squared-error reformulation for ordinal classification. - Christopher Beckham; Christopher J. Pal (CoRR, 2016)

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. - David Krueger 001; Tegan Maharaj; János Kramár; Mohammad Pezeshki; Nicolas Ballas; Nan Rosemary Ke; Anirudh Goyal; Yoshua Bengio; Hugo Larochelle; Aaron C. Courville; Chris Pal (CoRR, 2016)

A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering. - Tegan Maharaj; Nicolas Ballas; Aaron C. Courville; Christopher Joseph Pal (CoRR, 2016)

Convolutional Residual Memory Networks. - Joel Moniz; Christopher J. Pal (CoRR, 2016)

Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. - Evan Racah; Christopher Beckham; Tegan Maharaj; Prabhat; Christopher J. Pal (CoRR, 2016)

Fully automatic person segmentation in unconstrained video using spatio-temporal conditional random fields. - Chetan Bhole; Christopher Joseph Pal (Image Vis. Comput., 2016)

Improving facial analysis and performance driven animation through disentangling identity and expression. - David Rim; Sina Honari; Md. Kamrul Hasan 004; Christopher J. Pal (Image Vis. Comput., 2016)

EmoNets: Multimodal deep learning approaches for emotion recognition in video. - Samira Ebrahimi Kahou; Xavier Bouthillier; Pascal Lamblin; Çaglar Gülçehre; Vincent Michalski; Kishore Konda; Sébastien Jean; Pierre Froumenty; Yann N. Dauphin; Nicolas Boulanger-Lewandowski; Raul Chandias Ferrari; Mehdi Mirza; et al. (J. Multimodal User Interfaces, 2016)

RATM: Recurrent Attentive Tracking Model. - Samira Ebrahimi Kahou; Vincent Michalski; Roland Memisevic; Christopher Joseph Pal; Pascal Vincent (CVPR Workshops, 2017)

A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. - Tegan Maharaj; Nicolas Ballas; Anna Rohrbach; Aaron C. Courville; Christopher Joseph Pal (CVPR, 2017)

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. - David Krueger 001; Tegan Maharaj; János Kramár; Mohammad Pezeshki; Nicolas Ballas; Nan Rosemary Ke; Anirudh Goyal; Yoshua Bengio; Aaron C. Courville; Christopher J. Pal (ICLR (Poster), 2017)

Unimodal Probability Distributions for Deep Ordinal Classification. - Christopher Beckham; Christopher J. Pal (ICML, 2017)

On orthogonality and learning recurrent networks with long term dependencies. - Eugene Vorontsov; Chiheb Trabelsi; Samuel Kadoury; Chris Pal (ICML, 2017)

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. - Evan Racah; Christopher Beckham; Tegan Maharaj; Samira Ebrahimi Kahou; Prabhat; Chris Pal (NIPS, 2017)

Adversarial Generation of Natural Language. - Sandeep Subramanian; Sai Rajeswar; Francis Dutil; Chris Pal; Aaron C. Courville (Rep4NLP@ACL, 2017)

A step towards procedural terrain generation with GANs. - Christopher Beckham; Christopher Joseph Pal (CoRR, 2017)

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. - Michal Drozdzal; Gabriel Chartrand; Eugene Vorontsov; Lisa Di-Jorio; An Tang; Adriana Romero; Yoshua Bengio; Chris Pal; Samuel Kadoury (CoRR, 2017)

Self-organized Hierarchical Softmax. - Yikang Shen; Shawn Tan; Christopher Joseph Pal; Aaron C. Courville (CoRR, 2017)

Deep Complex Networks. - Chiheb Trabelsi; Olexa Bilaniuk; Dmitriy Serdyuk; Sandeep Subramanian; João Felipe Santos; Soroush Mehri; Negar Rostamzadeh; Yoshua Bengio; Christopher J. Pal (CoRR, 2017)

Liver lesion segmentation informed by joint liver segmentation. - Eugene Vorontsov; Gabriel Chartrand; An Tang; Chris Pal; Samuel Kadoury (CoRR, 2017)

Twin Networks: Using the Future as a Regularizer. - Dmitriy Serdyuk; Nan Rosemary Ke; Alessandro Sordoni; Chris Pal; Yoshua Bengio (CoRR, 2017)

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Laurent Charlin; Chris Pal; Yoshua Bengio (CoRR, 2017)

ACtuAL: Actor-Critic Under Adversarial Learning. - Anirudh Goyal; Nan Rosemary Ke; Alex Lamb; R. Devon Hjelm; Chris Pal; Joelle Pineau; Yoshua Bengio (CoRR, 2017)

Movie Description. - Anna Rohrbach; Atousa Torabi; Marcus Rohrbach; Niket Tandon; Christopher Joseph Pal; Hugo Larochelle; Aaron C. Courville; Bernt Schiele (Int. J. Comput. Vis., 2017)

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. - Eugene Vorontsov; An Tang; David Roy; Christopher J. Pal; Samuel Kadoury (Medical Biol. Eng. Comput., 2017)

Brain tumor segmentation with Deep Neural Networks. - Mohammad Havaei; Axel Davy; David Warde-Farley; Antoine Biard; Aaron C. Courville; Yoshua Bengio; Chris Pal; Pierre-Marc Jodoin; Hugo Larochelle (Medical Image Anal., 2017)

Improving probabilistic inference in graphical models with determinism and cycles. - Mohamed Hamza Ibrahim; Christopher Joseph Pal; Gilles Pesant (Mach. Learn., 2017)

Improving Landmark Localization With Semi-Supervised Learning. - Sina Honari; Pavlo Molchanov 001; Stephen Tyree; Pascal Vincent; Christopher J. Pal; Jan Kautz (CVPR, 2018)

Twin Networks: Matching the Future for Sequence Generation. - Dmitriy Serdyuk; Nan Rosemary Ke; Alessandro Sordoni; Adam Trischler; Chris Pal; Yoshua Bengio (ICLR (Poster), 2018)

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. - Sandeep Subramanian; Adam Trischler; Yoshua Bengio; Christopher J. Pal (ICLR (Poster), 2018)

Deep Complex Networks. - Chiheb Trabelsi; Olexa Bilaniuk; Ying Zhang 033; Dmitriy Serdyuk; Sandeep Subramanian; João Felipe Santos; Soroush Mehri; Negar Rostamzadeh; Yoshua Bengio; Christopher J. Pal (ICLR (Poster), 2018)

Focused Hierarchical RNNs for Conditional Sequence Processing. - Nan Rosemary Ke; Konrad Zolna; Alessandro Sordoni; Zhouhan Lin; Adam Trischler; Yoshua Bengio; Joelle Pineau; Laurent Charlin; Christopher J. Pal (ICML, 2018)

Liver lesion segmentation informed by joint liver segmentation. - Eugene Vorontsov; An Tang; Chris Pal; Samuel Kadoury (ISBI, 2018)

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Michael C. Mozer; Chris Pal; Yoshua Bengio (NeurIPS, 2018)

Towards Deep Conversational Recommendations. - Raymond Li; Samira Ebrahimi Kahou; Hannes Schulz; Vincent Michalski; Laurent Charlin; Chris Pal (NeurIPS, 2018)

Unsupervised Depth Estimation, 3D Face Rotation and Replacement. - Joel Ruben Antony Moniz; Christopher Beckham; Simon Rajotte; Sina Honari; Chris Pal (NeurIPS, 2018)

Towards Text Generation with Adversarially Learned Neural Outlines. - Sandeep Subramanian; Sai Rajeswar; Alessandro Sordoni; Adam Trischler; Aaron C. Courville; Chris Pal (NeurIPS, 2018)

Recurrent transition networks for character locomotion. - Félix G. Harvey; Christopher J. Pal (SIGGRAPH Asia Technical Briefs, 2018)

Convolutional networks for kidney segmentation in contrast-enhanced CT scans. - William E. Thong; Samuel Kadoury; Nicolas Piché; Christopher J. Pal (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Fashion-Gen: The Generative Fashion Dataset and Challenge. - Negar Rostamzadeh; Seyedarian Hosseini; Thomas Boquet; Wojciech Stokowiec; Ying Zhang 033; Christian Jauvin; Chris Pal (CoRR, 2018)

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Michael C. Mozer; Chris Pal; Yoshua Bengio (CoRR, 2018)

A Survey of Mobile Computing for the Visually Impaired. - Martin Weiss; Margaux Luck; Roger Girgis; Chris Pal; Joseph Paul Cohen (CoRR, 2018)

Recurrent semi-supervised classification and constrained adversarial generation with motion capture data. - Félix G. Harvey; Julien Roy; David Kanaa; Christopher Joseph Pal (Image Vis. Comput., 2018)

Learning normalized inputs for iterative estimation in medical image segmentation. - Michal Drozdzal; Gabriel Chartrand; Eugene Vorontsov; Mahsa Shakeri; Lisa Di-Jorio; An Tang; Adriana Romero; Yoshua Bengio; Chris Pal; Samuel Kadoury (Medical Image Anal., 2018)

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. - Chinnadhurai Sankar; Sandeep Subramanian; Chris Pal; Sarath Chandar; Yoshua Bengio (ACL (1), 2019)

Active Domain Randomization. - Bhairav Mehta; Manfred Diaz; Florian Golemo; Christopher J. Pal; Liam Paull (CoRL, 2019)

Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. - Martin Weiss; Simon Chamorro; Roger Girgis; Margaux Luck; Samira Ebrahimi Kahou; Joseph Paul Cohen; Derek Nowrouzezahrai; Doina Precup; Florian Golemo; Chris Pal (CoRL, 2019)

Dataflow-Based Joint Quantization for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (DCC, 2019)

Structure Learning for Neural Module Networks. - Vardaan Pahuja; Jie Fu 001; Sarath Chandar; Christopher Joseph Pal (LANTERN@EMNLP-IJCNLP, 2019)

Interactive Language Learning by Question Answering. - Xingdi Yuan; Marc-Alexandre Côté; Jie Fu 001; Zhouhan Lin; Chris Pal; Yoshua Bengio; Adam Trischler (EMNLP/IJCNLP (1), 2019)

Adversarial Mixup Resynthesizers. - Christopher Beckham; Sina Honari; Alex Lamb; Vikas Verma; Farnoosh Ghadiri; R. Devon Hjelm; Christopher J. Pal (DGS@ICLR, 2019)

Probabilistic Planning with Sequential Monte Carlo methods. - Alexandre Piché; Valentin Thomas; Cyril Ibrahim; Yoshua Bengio; Chris Pal (ICLR (Poster), 2019)

On Adversarial Mixup Resynthesis. - Christopher Beckham; Sina Honari; Vikas Verma; Alex Lamb; Farnoosh Ghadiri; R. Devon Hjelm; Yoshua Bengio; Chris Pal (NeurIPS, 2019)

Neural Multisensory Scene Inference. - Jae Hyun Lim 001; Pedro O. Pinheiro; Negar Rostamzadeh; Chris Pal; Sungjin Ahn (NeurIPS, 2019)

Real-Time Reinforcement Learning. - Simon Ramstedt; Chris Pal (NeurIPS, 2019)

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (CoRR, 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Visual Imitation Learning with Recurrent Siamese Networks. - Glen Berseth; Christopher J. Pal (CoRR, 2019)

Towards Standardization of Data Licenses: The Montreal Data License. - Misha Benjamin; Paul Gagnon; Negar Rostamzadeh; Chris Pal; Yoshua Bengio; Alex Shee (CoRR, 2019)

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. - Dayiheng Liu; Jie Fu 001; Yidan Zhang; Chris Pal; Jiancheng Lv 001 (CoRR, 2019)

Fine-grained zero-shot recognition with metric rescaling. - Boris N. Oreshkin; Negar Rostamzadeh; Pedro O. Pinheiro; Christopher J. Pal (CoRR, 2019)

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments. - Evan Racah; Christopher J. Pal (CoRR, 2019)

Towards Understanding Generalization in Gradient-Based Meta-Learning. - Simon Guiroy; Vikas Verma; Christopher J. Pal (CoRR, 2019)

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. - Vincent Michalski; Vikram Voleti; Samira Ebrahimi Kahou; Anthony Ortiz; Pascal Vincent; Chris Pal; Doina Precup (CoRR, 2019)

Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning. - Paul Barde; Julien Roy; Félix G. Harvey; Derek Nowrouzezahrai; Christopher J. Pal (CoRR, 2019)

Learning Sparse Mixture of Experts for Visual Question Answering. - Vardaan Pahuja; Jie Fu 001; Christopher J. Pal (CoRR, 2019)

Learning Neural Causal Models from Unknown Interventions. - Nan Rosemary Ke; Olexa Bilaniuk; Anirudh Goyal; Stefan Bauer; Hugo Larochelle; Chris Pal; Yoshua Bengio (CoRR, 2019)

Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. - Dayiheng Liu; Jie Fu 001; Yidan Zhang; Chris Pal; Jiancheng Lv 001 (AAAI, 2020)

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences. - Yi Tay; Donovan Ong; Jie Fu 001; Alvin Chan; Nancy F. Chen; Anh Tuan Luu; Chris Pal (ACL, 2020)

Interactive Machine Comprehension with Information Seeking Agents. - Xingdi Yuan; Jie Fu 001; Marc-Alexandre Côté; Yi Tay; Chris Pal; Adam Trischler (ACL, 2020)

Action-based Representation Learning for Autonomous Driving. - Yi Xiao 001; Felipe Codevilla; Christopher J. Pal; Antonio M. López 001 (CoRL, 2020)

CLAREL: Classification via retrieval loss for zero-shot learning. - Boris N. Oreshkin; Negar Rostamzadeh; Pedro O. Pinheiro; Christopher J. Pal (CVPR Workshops, 2020)

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. - Jonathan Pilault; Raymond Li; Sandeep Subramanian; Chris Pal (EMNLP (1), 2020)

Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. - Christian Rupprecht 001; Cyril Ibrahim; Christopher J. Pal (ICLR, 2020)

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. - Yoshua Bengio; Tristan Deleu; Nasim Rahaman; Nan Rosemary Ke; Sébastien Lachapelle; Olexa Bilaniuk; Anirudh Goyal; Christopher J. Pal (ICLR, 2020)

Reinforced active learning for image segmentation. - Arantxa Casanova; Pedro O. Pinheiro; Negar Rostamzadeh; Christopher J. Pal (ICLR, 2020)

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. - Jae Hyun Lim 001; Aaron C. Courville; Christopher J. Pal; Chin-Wei Huang (ICML, 2020)

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. - Paul Barde; Julien Roy; Wonseok Jeon; Joelle Pineau; Chris Pal; Derek Nowrouzezahrai (NeurIPS, 2020)

Measuring Systematic Generalization in Neural Proof Generation with Transformers. - Nicolas Gontier; Koustuv Sinha; Siva Reddy; Christopher Pal (NeurIPS, 2020)

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning. - Julien Roy; Paul Barde; Félix G. Harvey; Derek Nowrouzezahrai; Chris Pal (NeurIPS, 2020)

Leveraging cluster backbones for improving MAP inference in statistical relational models. - Mohamed Hamza Ibrahim; Christopher J. Pal; Gilles Pesant (Ann. Math. Artif. Intell., 2020)

Exploring Structural Inductive Biases in Emergent Communication. - Agnieszka Slowik; Abhinav Gupta 002; William L. Hamilton; Mateja Jamnik; Sean B. Holden; Christopher J. Pal (CoRR, 2020)

Curriculum in Gradient-Based Meta-Reinforcement Learning. - Bhairav Mehta; Tristan Deleu; Sharath Chandra Raparthy; Christopher J. Pal; Liam Paull (CoRR, 2020)

On the impressive performance of randomly weighted encoders in summarization tasks. - Jonathan Pilault; Jaehong Park; Christopher J. Pal (CoRR, 2020)

Role-Wise Data Augmentation for Knowledge Distillation. - Jie Fu 001; Xue Geng; Zhijian Duan 001; Bohan Zhuang; Xingdi Yuan; Adam Trischler; Jie Lin 001; Chris Pal; Hao Dong 003 (CoRR, 2020)

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. - Tal Arbel; Ismail Ben Ayed; Marleen de Bruijne; Maxime Descoteaux; Herve Lombaert; Chris Pal (CoRR, 2020)

Learning to Summarize Long Texts with Memory Compression and Transfer. - Jaehong Park; Jonathan Pilault; Christopher Joseph Pal (CoRR, 2020)

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. - Prateek Gupta; Tegan Maharaj; Martin Weiss; Nasim Rahaman; Hannah Alsdurf; Abhinav Sharma; Nanor Minoyan; Soren Harnois-Leblanc; Victor Schmidt; Pierre-Luc St-Charles; Tristan Deleu; Andrew Williams; et al. (CoRR, 2020)

A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. - Md. Kamrul Hasan 004; Christopher J. Pal (ACM Trans. Knowl. Discov. Data, 2020)

Robust motion in-betweening. - Félix G. Harvey; Mike Yurick; Derek Nowrouzezahrai; Christopher J. Pal (ACM Trans. Graph., 2020)

Structural Inductive Biases in Emergent Communication. - Agnieszka Slowik; Abhinav Gupta 002; William L. Hamilton; Mateja Jamnik; Sean B. Holden; Chris Pal (CogSci, 2021)

Predicting Infectiousness for Proactive Contact Tracing. - Yoshua Bengio; Prateek Gupta; Tegan Maharaj; Nasim Rahaman; Martin Weiss; Tristan Deleu; Eilif Benjamin Müller; Meng Qu; Victor Schmidt; Pierre-Luc St-Charles; Hannah Alsdurf; Olexa Bilaniuk; et al. (ICLR, 2021)

Reinforcement Learning with Random Delays. - Yann Bouteiller; Simon Ramstedt; Giovanni Beltrame; Christopher J. Pal; Jonathan Binas (ICLR, 2021)

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. - Jonathan Pilault; Amine Elhattami; Christopher J. Pal (ICLR, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Nazanin Mohammadi Sepahvand; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (MLSys, 2021)

DuoRAT: Towards Simpler Text-to-SQL Models. - Torsten Scholak; Raymond Li; Dzmitry Bahdanau; Harm de Vries; Chris Pal (NAACL-HLT, 2021)

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. - Nan Rosemary Ke; Aniket Didolkar; Sarthak Mittal; Anirudh Goyal; Guillaume Lajoie; Stefan Bauer; Danilo Jimenez Rezende; Michael Mozer; Yoshua Bengio; Chris Pal (NeurIPS Datasets and Benchmarks, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Naz Sepah; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (CoRR, 2021)

Latent Variable Nested Set Transformers & AutoBots. - Roger Girgis; Florian Golemo; Felipe Codevilla; Jim Aldon D'Souza; Samira Ebrahimi Kahou; Felix Heide; Christopher J. Pal (CoRR, 2021)

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization. - Alexandre Piché; Joseph Marino; Gian Maria Marconi; Christopher Joseph Pal; Mohammad Emtiyaz Khan (CoRR, 2021)

Simple Video Generation using Neural ODEs. - David Kanaa; Vikram Voleti; Samira Ebrahimi Kahou; Christopher Pal (CoRR, 2021)

Learning Multi-Objective Curricula for Deep Reinforcement Learning. - Jikun Kang; Miao Liu; Abhinav Gupta 002; Chris Pal; Xue Liu 001; Jie Fu 001 (CoRR, 2021)

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. - Nicholas Roy; Ingmar Posner; Tim D. Barfoot; Philippe Beaudoin; Yoshua Bengio; Jeannette Bohg; Oliver Brock; Isabelle Depatie; Dieter Fox; Daniel E. Koditschek; Tomás Lozano-Pérez; Vikash Mansinghka 001; et al. (CoRR, 2021)

Learned Image Compression for Machine Perception. - Felipe Codevilla; Jean-Gabriel Simard; Ross Goroshin; Chris Pal (CoRR, 2021)

Overcoming challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher Pal (CoLLAs, 2022)

Improving Meta-Learning Generalization with Activation-Based Early-Stopping. - Simon Guiroy; Christopher Pal; Gonçalo Mordido; Sarath Chandar (CoLLAs, 2022)

Learning Multi-Objective Curricula for Robotic Policy Learning. - Jikun Kang; Miao Liu; Abhinav Gupta 002; Christopher Pal; Xue (Steve) Liu; Jie Fu 001 (CoRL, 2022)

Learning to Guide and to be Guided in the Architect-Builder Problem. - Paul Barde; Tristan Karch; Derek Nowrouzezahrai; Clément Moulin-Frier; Christopher Pal; Pierre-Yves Oudeyer (ICLR, 2022)

Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. - Roger Girgis; Florian Golemo; Felipe Codevilla; Martin Weiss; Jim Aldon D'Souza; Samira Ebrahimi Kahou; Felix Heide; Christopher Pal (ICLR, 2022)

Direct Behavior Specification via Constrained Reinforcement Learning. - Julien Roy; Roger Girgis; Joshua Romoff; Pierre-Luc Bacon; Christopher J. Pal (ICML, 2022)

Attention-based Neural Cellular Automata. - Mattie Tesfaldet; Derek Nowrouzezahrai; Chris Pal (NeurIPS, 2022)

MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. - Vikram Voleti; Alexia Jolicoeur-Martineau; Chris Pal (NeurIPS, 2022)

Neural Attentive Circuits. - Martin Weiss; Nasim Rahaman; Francesco Locatello; Chris Pal; Yoshua Bengio; Bernhard Schölkopf; Li Erran Li; Nicolas Ballas (NeurIPS, 2022)

SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. - Vikram Voleti; Boris N. Oreshkin; Florent Bocquelet; Félix G. Harvey; Louis-Simon Ménard; Christopher Pal (SIGGRAPH Asia Technical Communications, 2022)

Challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher J. Pal (CoRR, 2022)

Using Graph Algorithms to Pretrain Graph Completion Transformers. - Jonathan Pilault; Michael Galkin; Bahare Fatemi; Perouz Taslakian; David Vázquez 001; Christopher Pal (CoRR, 2022)

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models. - Vikram Voleti; Christopher Pal; Adam M. Oberman (CoRR, 2022)

Implicit Offline Reinforcement Learning via Supervised Learning. - Alexandre Piché; Rafael Pardinas; David Vázquez 001; Igor Mordatch; Chris Pal (CoRR, 2022)

A General Purpose Neural Architecture for Geospatial Systems. - Nasim Rahaman; Martin Weiss; Frederik Träuble; Francesco Locatello; Alexandre Lacoste; Yoshua Bengio; Chris Pal; Li Erran Li; Bernhard Schölkopf (CoRR, 2022)

Towards good validation metrics for generative models in offline model-based optimisation. - Christopher Beckham; Alexandre Piché; David Vázquez 001; Christopher Pal (CoRR, 2022)

Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance. - Mats L. Richter; Christopher Pal (CoRR, 2022)

Does Entity Abstraction Help Generative Transformers Reason? - Nicolas Gontier; Siva Reddy; Christopher Pal (Trans. Mach. Learn. Res., 2022)

Parallel-mentoring for Offline Model-based Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue (Steve) Liu; Chris Pal (NeurIPS, 2023)

Are Diffusion Models Vision-And-Language Reasoners? - Benno Krojer; Elinor Poole-Dayan; Vikram Voleti; Chris Pal; Siva Reddy (NeurIPS, 2023)

Block-State Transformers. - Jonathan Pilault; Mahan Fathi; Orhan Firat; Chris Pal; Pierre-Luc Bacon; Ross Goroshin (NeurIPS, 2023)

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. - Nicolas Gontier; Pau Rodríguez; Issam H. Laradji; David Vázquez 001; Christopher Pal (CoRR, 2023)

Score-based Diffusion Models in Function Space. - Jae Hyun Lim 001; Nikola B. Kovachki; Ricardo Baptista; Christopher Beckham; Kamyar Azizzadenesheli; Jean Kossaifi; Vikram Voleti; Jiaming Song; Karsten Kreis; Jan Kautz; Christopher Pal; Arash Vahdat; et al. (CoRR, 2023)

Conservative objective models are a special kind of contrastive divergence-based energy model. - Christopher Beckham; Christopher Pal (CoRR, 2023)

Controllable Image Generation via Collage Representations. - Arantxa Casanova; Marlène Careil; Adriana Romero-Soriano; Christopher J. Pal; Jakob Verbeek; Michal Drozdzal (CoRR, 2023)

ArK: Augmented Reality with Knowledge Interactive Emergent Ability. - Qiuyuan Huang; Jae Sung Park; Abhinav Gupta 002; Paul N. Bennett; Ran Gong; Subhojit Som; Baolin Peng; Owais Khan Mohammed; Chris Pal; Yejin Choi 001; Jianfeng Gao 001 (CoRR, 2023)

Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans. - Stefania Raimondo; Christopher Pal; Xiaotian Liu; David Vázquez 001; Héctor Palacios (CoRR, 2023)

Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design. - Julien Roy; Pierre-Luc Bacon; Christopher Pal; Emmanuel Bengio (CoRR, 2023)

Block-State Transformer. - Mahan Fathi; Jonathan Pilault; Pierre-Luc Bacon; Christopher Pal; Orhan Firat; Ross Goroshin (CoRR, 2023)

StarVector: Generating Scalable Vector Graphics Code from Images. - Juan A. Rodríguez; Shubham Agarwal; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Christopher Pal; Marco Pedersoli (CoRR, 2023)

Capture the Flag: Uncovering Data Insights with Large Language Models. - Issam H. Laradji; Perouz Taslakian; Sai Rajeswar; Valentina Zantedeschi; Alexandre Lacoste; Nicolas Chapados; David Vázquez 001; Christopher Pal; Alexandre Drouin (CoRR, 2023)

Towards Learning to Imitate from a Single Video Demonstration. - Glen Berseth; Florian Golemo; Christopher Pal (J. Mach. Learn. Res., 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Workflow Discovery from Dialogues in the Low Data Regime. - Amine El Hattami; Issam H. Laradji; Stefania Raimondo; David Vázquez 001; Pau Rodríguez; Christopher Pal (Trans. Mach. Learn. Res., 2023)

Neural Causal Structure Discovery from Interventions. - Nan Rosemary Ke; Olexa Bilaniuk; Anirudh Goyal; Stefan Bauer; Hugo Larochelle; Bernhard Schölkopf; Michael Curtis Mozer; Christopher Pal; Yoshua Bengio (Trans. Mach. Learn. Res., 2023)

Bridging the Gap Between Target Networks and Functional Regularization. - Alexandre Piché; Valentin Thomas; Joseph Marino; Rafael Pardinas; Gian Maria Marconi; Christopher Pal; Mohammad Emtiyaz Khan (Trans. Mach. Learn. Res., 2023)

Visual question answering from another perspective: CLEVR mental rotation tests. - Christopher Beckham; Martin Weiss; Florian Golemo; Sina Honari; Derek Nowrouzezahrai; Christopher Pal (Pattern Recognit., 2023)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. - Luke Rowe; Roger Girgis; Anthony Gosselin; Bruno Carrez; Florian Golemo; Felix Heide; Liam Paull; Christopher Pal (CoRL, 2024)

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. - João Monteiro 002; Étienne Marcotte; Pierre-André Noël; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Christopher Pal; Perouz Taslakian (EMNLP (Findings), 2024)

Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. - Pablo Pernias; Dominic Rampas; Mats L. Richter; Christopher Pal; Marc Aubreville (ICLR, 2024)

Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots. - Simon Chamorro; Victor Klemm; Miguel de la Iglesia Valls; Christopher Pal; Roland Siegwart (ICRA, 2024)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. - João Monteiro 002; Pierre-André Noël; Étienne Marcotte; Sai Rajeswar Mudumba; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Chris Pal; Perouz Taslakian (NeurIPS, 2024)

Learning Action and Reasoning-Centric Image Editing from Videos and Simulation. - Benno Krojer; Dheeraj Vattikonda; Luis Lara; Varun Jampani; Eva Portelance; Chris Pal; Siva Reddy (NeurIPS, 2024)

LitLLM: A Toolkit for Scientific Literature Review. - Shubham Agarwal; Issam H. Laradji; Laurent Charlin; Christopher Pal (CoRR, 2024)

Language Models Can Reduce Asymmetry in Information Markets. - Nasim Rahaman; Martin Weiss; Manuel Wüthrich; Yoshua Bengio; Li Erran Li; Chris Pal; Bernhard Schölkopf (CoRR, 2024)

LLMs can learn self-restraint through iterative self-reflection. - Alexandre Piché; Aristides Milios; Dzmitry Bahdanau; Chris Pal (CoRR, 2024)

CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. - Matthew Fortier; Mats L. Richter; Oliver Sonnentag; Chris Pal (CoRR, 2024)

Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion. - Ge Ya Luo; Zhi Hao Luo; Anthony Gosselin; Alexia Jolicoeur-Martineau; Christopher Pal (CoRR, 2024)

Learning Action and Reasoning-Centric Image Editing from Videos and Simulations. - Benno Krojer; Dheeraj Vattikonda; Luis Lara; Varun Jampani; Eva Portelance; Christopher Pal; Siva Reddy (CoRR, 2024)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; Sai Rajeswar; Issam Hadj Laradji (CoRR, 2024)

DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design. - Zhi Hao Luo; Luis Lara; Ge Ya Luo; Florian Golemo; Christopher Beckham; Christopher Pal (CoRR, 2024)

Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality. - Ge Ya Luo; Gian Mario Favero; Zhi Hao Luo; Alexia Jolicoeur-Martineau; Christopher Pal (CoRR, 2024)

IntentGPT: Few-shot Intent Discovery with Large Language Models. - Juan A. Rodríguez; Nicholas Botzer; David Vázquez 001; Christopher Pal; Marco Pedersoli; Issam H. Laradji (CoRR, 2024)

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (CoRR, 2024)

LLMs for Literature Review: Are we there yet? - Shubham Agarwal; Gaurav Sahu; Abhay Puri; Issam H. Laradji; Krishnamurthy Dj Dvijotham; Jason Stanley; Laurent Charlin; Christopher Pal (CoRR, 2024)

Exploring validation metrics for offline model-based optimisation with diffusion models. - Christopher Beckham; Alexandre Piché; David Vázquez 001; Christopher Pal (Trans. Mach. Learn. Res., 2024)

Robust Guided Diffusion for Offline Black-Box Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue Liu 001; Christopher Pal (Trans. Mach. Learn. Res., 2024)

Multi-resolution continuous normalizing flows. - Vikram Voleti; Chris Finlay; Adam Oberman; Christopher Pal (Ann. Math. Artif. Intell., 2024)

StarVector: Generating Scalable Vector Graphics Code from Images and Text. - Juan A. Rodríguez; Abhay Puri; Shubham Agarwal; Issam H. Laradji; Sai Rajeswar; David Vázquez 001; Christopher Pal; Marco Pedersoli (AAAI, 2025)

Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models. - Pablo Pernias; Dominic Rampas; Mats L. Richter; Christopher J. Pal; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

StarVector: Generating Scalable Vector Graphics Code from Images and Text. - Juan A. Rodríguez; Abhay Puri; Shubham Agarwal; Issam H. Laradji; Pau Rodríguez; Sai Rajeswar; David Vázquez 001; Christopher Pal; Marco Pedersoli (CVPR, 2025)

Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments. - Luke Rowe; Roger Girgis; Anthony Gosselin; Liam Paull; Christopher Pal; Felix Heide (CVPR, 2025)

ParetoFlow: Guided Flows in Multi-Objective Optimization. - Ye Yuan 017; Can Chen 005; Christopher Pal; Xue Liu 001 (ICLR, 2025)

Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. - Md Rifat Arefin; Gopeshh Subbaraj; Nicolas Gontier; Yann LeCun; Irina Rish; Ravid Shwartz-Ziv; Christopher Pal (ICLR, 2025)

CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. - Matthew Fortier; Mats Leon Richter; Oliver Sonnentag; Christopher Pal (ICLR, 2025)

Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality. - Ge Ya Luo; Gian Mario Favero; Zhi Hao Luo; Alexia Jolicoeur-Martineau; Christopher Pal (ICLR, 2025)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Amirhossein Abaskohi; Mohammad Chegini; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; et al. (ICLR, 2025)

MapBot: A Multi-Modal Agent for Geospatial Analysis. - Martin Weiss; Nasim Rahaman; Chris Pal (AAMAS, 2025)

GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models. - Aditya Sharma; Aman Dalmia; Mehran Kazemi; Amal Zouaq; Christopher Pal (NAACL (Findings), 2025)

LitLLMs, LLMs for Literature Review: Are we there yet? - Shubham Agarwal; Gaurav Sahu; Abhay Puri; Issam H. Laradji; Krishnamurthy Dj Dvijotham; Jason Stanley; Laurent Charlin; Christopher Pal (Trans. Mach. Learn. Res., 2025)

Spaced Scheduling for Large Language Model Training. - Amine El Hattami; Nicolas Chapados; Christopher Pal (Trans. Mach. Learn. Res., 2025)

Ctrl-V: Higher Fidelity Autonomous Vehicle Video Generation with Bounding-Box Controlled Object Motion. - Ge Ya Luo; Zhi Hao Luo; Anthony Gosselin; Alexia Jolicoeur-Martineau; Christopher Pal (Trans. Mach. Learn. Res., 2025)

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. - Ahmed Masry; Juan A. Rodríguez; Tianyu Zhang; Suyuchen Wang; Chao Wang; Aarash Feizi; Akshay Kalkunte Suresh; Abhay Puri; Xiangru Jian; Pierre-André Noël; Sathwik Tejaswi Madhusudhan; Marco Pedersoli; et al. (CoRR, 2025)

Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval. - Aditya Sharma; Luis Lara; Amal Zouaq; Christopher J. Pal (CoRR, 2025)

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. - Shravan Nayak; Xiangru Jian; Kevin Qinghong Lin; Juan A. Rodríguez; Montek Kalsi; Rabiul Awal; Nicolas Chapados; M. Tamer Özsu; Aishwarya Agrawal; David Vázquez 001; Christopher Pal; Perouz Taslakian; et al. (CoRR, 2025)

StarFlow: Generating Structured Workflow Outputs From Sketch Images. - Patrice Bechard; Chao Wang; Amirhossein Abaskohi; Juan A. Rodríguez; Christopher Pal; David Vázquez 001; Spandana Gella; Sai Rajeswar; Perouz Taslakian (CoRR, 2025)

AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery. - Amirhossein Abaskohi; Amrutha Varshini Ramesh; Shailesh Nanisetty; Chirag Goel; David Vázquez 001; Christopher Pal; Spandana Gella; Giuseppe Carenini; Issam H. Laradji (CoRR, 2025)

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories. - Xing Han Lù; Amirhossein Kazemnejad; Nicholas Meade; Arkil Patel; Dongchan Shin; Alejandra Zambrano; Karolina Stanczak; Peter Shaw 004; Christopher J. Pal; Siva Reddy (CoRR, 2025)

Distilling semantically aware orders for autoregressive image generation. - Rishav Pramanik; Antoine Poupon; Juan A. Rodríguez; Masih Aminbeidokhti; David Vázquez 001; Christopher Pal; Zhaozheng Yin; Marco Pedersoli (CoRR, 2025)

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages. - Chris Emezue; NaijaVoices Community; Busayo Awobade; Abraham Owodunni; Handel Emezue; Gloria Monica Tobechukwu Emezue; Nefertiti Nneoma Emezue; Sewade Ogun; Bunmi Akinremi; David Ifeoluwa Adelani; Chris Pal (CoRR, 2025)

Rendering-Aware Reinforcement Learning for Vector Graphics Generation. - Juan A. Rodríguez; Haotian Zhang; Abhay Puri; Aarash Feizi; Rishav Pramanik; Pascal Wichmann; Arnab Kumar Mondal; Mohammad Reza Samsami; Rabiul Awal; Perouz Taslakian; Spandana Gella; Sai Rajeswar; et al. (CoRR, 2025)

Editorial Introduction to the ICCV 2021 Special Section. - Dima Damen; Tal Hassner; Chris Pal; Yoichi Sato 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes. - Anthony Gosselin; Ge Ya Luo; Luis Lara; Florian Golemo; Derek Nowrouzezahrai; Liam Paull; Alexia Jolicoeur-Martineau; Christopher Pal (CoRR, 2025)

Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving. - Luke Rowe; Rodrigue de Schaetzen; Roger Girgis; Christopher Pal; Liam Paull (CoRR, 2025)

SelvaBox: A high-resolution dataset for tropical tree crown detection. - Hugo Baudchon; Arthur Ouaknine; Martin Weiss; Mélisande Teng; Thomas R. Walla; Antoine Caron-Guay; Christopher Pal; Etienne Laliberté (CoRR, 2025)

The Promise of RL for Autoregressive Image Editing. - Saba Ahmadi; Rabiul Awal; Ankur Sikarwar; Amirhossein Kazemnejad; Ge Ya Luo; Juan A. Rodríguez; Sai Rajeswar; Siva Reddy; Christopher Pal; Benno Krojer; Aishwarya Agrawal (CoRR, 2025)

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. - Ahmed Masry; Abhay Puri; Masoud Hashemi; Juan A. Rodríguez; Megh Thakkar; Khyati Mahajan; Vikas Yadav; Sathwik Tejaswi Madhusudhan; Alexandre Piché; Dzmitry Bahdanau; Christopher Pal; David Vázquez 001; et al. (CoRR, 2025)