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Voleti, V., Finlay, C., Oberman, A., & Pal, C. J. (2024). Multi-resolution continuous normalizing flows. Annals of Mathematics and Artificial Intelligence, 23-23. External link
Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., ... Menze, B. (2023). The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Analysis, 84, 102680 (24 pages). External link
Berseth, G., Golemo, F., & Pal, C. J. (2023). Towards Learning to Imitate from a Single Video Demonstration. Journal of Machine Learning Research, 24, 21-1174 (26 pages). External link
Beckham, C., Weiss, M., Golemo, F., Honari, S., Nowrouzezahrai, D., & Pal, C. J. (2023). Visual question answering from another perspective: CLEVR mental rotation tests *. Pattern Recognition, 136, 109209 (12 pages). External link
Ibrahim, M. H., Pal, C. J., & Pesant, G. (2020). Leveraging cluster backbones for improving MAP inference in statistical relational models. Annals of Mathematics and Artificial Intelligence, 88(8), 907-949. External link
Harvey, F. G., Yurick, M., Nowrouzezahrai, D., & Pal, C. J. (2020). Robust motion in-betweening. ACM Transactions on Graphics, 39(4), 12 pages. External link
Vorontsov, E., Cerny, M., Régnier, P., Di Jorio, L., Pal, C. J., Lapointe, R., Vandenbroucke-Menu, F., Turcotte, S., Kadoury, S., & Tang, A. (2019). Deep learning for automated segmentation of liver lesions at cCT in patients with colorectal cancer liver metastases. Radiology: Artificial Intelligence, 1(2), 180014. External link
Hasan, M. K., & Pal, C. J. (2019). A new smooth approximation to the zero one loss with a probabilistic interpretation. ACM Transactions on Knowledge Discovery from Data, 14(1), 1-28. External link
Thong, W., Kadoury, S., Piche, N., & Pal, C. J. (2018). Convolutional networks for kidney segmentation in contrast-enhanced CT scans. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization, 6(3), 277-282. External link
Drozdzal, M., Chartrand, G., Vorontsov, E., Shakeri, M., Di Jorio, L., Tang, A., Romero, A., Bengio, Y., Pal, C. J., & Kadoury, S. (2018). Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Analysis, 44, 1-13. External link
Harvey, F. G., Roy, J., Kanaa, D., & Pal, C. J. (2018). Recurrent semi-supervised classification and constrained adversarial generation with motion capture data. Image and Vision Computing, 78, 42-52. External link
Rohrbach, A., Torabi, A., Rohrbach, M., Tandon, N., Pal, C. J., Larochelle, H., Courville, A., & Schiele, B. (2017). Movie description. International Journal of Computer Vision, 123(1), 94-120. Available
Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C. J., Jodoin, P.-M., & Larochelle, H. (2017). Brain tumor segmentation with Deep Neural Networks. Medical Image Analysis, 35, 18-31. External link
Chartrand, G., Cheng, P. M., Vorontsov, E., Drozdzal, M., Turcotte, S., Pal, C. J., Kadoury, S., & Tang, A. (2017). Deep Learning: A Primer for Radiologists. RadioGraphics, 37(7), 2113-2131. External link
Ibrahim, M.-H., Pal, C. J., & Pesant, G. (2017). Improving probabilistic inference in graphical models with determinism and cycles. Machine Learning, 106(1), 1-54. External link
Kahou, S. E., Bouthillier, X., Lamblin, P., Gulcehre, C., Michalski, V., Konda, K., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Ferrari, R. C., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., & Bengio, Y. (2016). EmoNets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10(2), 99-111. External link
Vorontsov, E., Tang, A., Roy, D., Pal, C. J., & Kadoury, S. (2016). Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical & Biological Engineering & Computing, 55(1), 127-139. External link
Rim, D., Honari, S., Hasan, M. K., & Pal, C. J. (2015). Improving facial analysis and performance driven animation through disentangling identity and expression. Image and Vision Computing, 52, 125-140. External link
Rim, D., Hasan, M. K., Puech, F., & Pal, C. J. (2015). Learning from weakly labeled faces and video in the wild. Pattern Recognition, 48(3), 759-771. External link
Bhole, C., Pal, C. J., Rim, D., & Wismuller, A. (2014). 3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Machine Vision and Applications, 25(2), 301-325. External link
Tran, L. C., Bal, C., Pal, C. J., & Nguyen, T. Q. (2012). On consistent inter-view synthesis for autostereoscopic displays. 3D Research, 3(1), 10 pages. External link
Pal, C. J., Weinman, J. J., Tran, L. C., & Scharstein, D. (2012). On Learning Conditional Random Fields for Stereo: Exploring Model Structures and Approximate Inference. International Journal of Computer Vision, 99(3), 319-337. External link
Chamorro, S., Klemm, V., De La Iglesia Valls, M., Pal, C. J., & Siegwart, R. (2024, May). Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots [Paper]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan. External link
Krojer, B., Poole-Dayan, E., Voleti, V., Pal, C. J., & Reddy, S. (2023, December). Are Diffusion Models Vision-And-Language Reasoners? [Paper]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (21 pages). External link
Pilault, J., Fathi, M., Firat, O., Pal, C. J., Bacon, P.-L., & Goroshin, R. (2023, December). Block-State Transformers [Paper]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (19 pages). External link
Chen, C., Beckham, C., Liu, Z., Liu, X., & Pal, C. J. (2023, December). Parallel-mentoring for Offline Model-based Optimization [Paper]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA (18 pages). External link
Roy, J., Girgis, R., Romoff, J., Bacon, P.-L., & Pal, C. J. (2022, July). Direct Behavior Specification via Constrained Reinforcement Learning [Paper]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA. External link
Girgis, R., Golemo, F., Codevilla, F., Weiss, M., D'Souza, J. A., Kahou, S. E., Heide, F., & Pal, C. J. (2022, April). Latent variable sequential set transformers for joint multi-agent motion prediction [Paper]. 10th International Conference on Learning Representations (ICLR 2022). External link
Voleti, V., Oreshkin, B., Bocquelet, F., Harvey, F., Menard, L.-S., & Pal, C. J. (2022, December). SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows [Paper]. SIGGRAPH Asia 2022 Technical Communications, Daegu, Korea, Republic of (7 pages). External link
Barde, P., Roy, J., Jeon, W., Pineau, J., Nowrouzezahrai, D., & Pal, C. J. (2020, December). Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (11 pages). External link
Yuan, X., Cote, M.-A., Fu, J., Lin, Z., Pal, C. J., Bengio, Y., & Trischler, A. (2019, November). Interactive language learning by question answering [Paper]. Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China. External link
Yuan, X., Fu, J., Cote, M.-A., Tay, Y., Pal, C. J., & Trischler, A. (2020, July). Interactive Machine Comprehension with Information Seeking Agents [Paper]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). External link
Gontier, N., Sinha, K., Reddy, S., & Pal, C. J. (2020, December). Measuring systematic generalization in neural proof generation with transformers [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020) (17 pages). External link
Bengio, Y., Deleu, T., Rahaman, N., Ke, N. R., Lachapelle, S., Bilaniuk, O., Goyal, A., & Pal, C. J. (2020, April). A meta-transfer objective for learning to disentagle causal mechanisms [Paper]. 8th International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia (27 pages). External link
Pilault, J., Li, R., Subramanian, S., & Pal, C. J. (2020, November). On extractive and abstractive neural document summarization with transformer language models [Paper]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). External link
Roy, J., Barde, P., Harvey, F. G., Nowrouzezahrai, D., & Pal, C. J. (2020, December). Promoting coordination through policy regularization in multi-agent deep reinforcement learning [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). External link
Liu, D., Fu, J., Zhang, Y., Pal, C. J., & Lv, J. (2020, February). Revision in continuous space: Unsupervised text style transfer without adversarial learning [Paper]. 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, NY, USA. External link
Tay, Y., Ong, D., Fu, J., Chan, A., Chen, N. F., Tuan, L. A., & Pal, C. J. (2020, July). Would you rather? A new benchmark for learning machine alignment with cultural values and social preferences [Paper]. 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). External link
Beckham, C., Honari, S., Lamb, A., Verma, V., Ghadiri, F., Hjelm, R. D., & Pal, C. J. (2019, May). Adversarial mixup resynthesizers [Paper]. Deep Generative Models for Highly Structured Data (DGS@ICLR 2019 Workshop), New Orleans, LA (20 pages). External link
Sankar, C., Subramanian, S., Pal, C. J., Chandar, S., & Bengio, Y. (2019, July). Do neural dialog systems use the conversation history effectively? An empirical study [Paper]. 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy. External link
Lim, J. H., Pinheiro, P. O., Rostamzadeh, N., Pal, C. J., & Ahn, S. (2019, December). Neural Multisensory Scene Inference [Paper]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C.. External link
Beckham, C., Honari, S., Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., & Pal, C. J. (2019, December). On adversarial mixup resynthesis [Paper]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. External link
Ramstedt, S., & Pal, C. J. (2019, December). Real-Time Reinforcement Learning [Paper]. 33rd International Conference on Neural Information Processing Systems (NIPS 2019), Vancouver, British Columbia, Canada. External link
Krueger, D., Maharaj, T., Kramar, J., Pezeshki, M., Ballas, N., Ke, N. R., Goyal, A., Bengio, Y., Courville, A., & Pal, C. J. (2017, April). Zoneout: Regularizing rNNs by randomly preserving hidden activations [Paper]. 5th International Conference on Learning Representations (ICLR 2017), Toulon, France (11 pages). External link
Trabelsi, C., Bilaniuk, O., Zhang, Y., Serdyuk, D., Subramanian, S., Santos, J. F., Mehri, S., Rostamzadeh, N., Bengio, Y., & Pal, C. J. (2018, April). Deep complex networks [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (19 pages). External link
Ke, N. R., Zoma, K., Sordoni, A., Lin, Z., Trischler, A., Bengio, Y., Pineau, J., Charlin, L., & Pal, C. J. (2018, July). Focused hierarchical RNNs for conditional sequence processing [Paper]. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden. External link
Honari, S., Molchanov, P., Tyree, S., Vincent, P., Pal, C. J., & Kautz, J. (2018, June). Improving Landmark Localization with Semi-Supervised Learning [Paper]. 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, United states. External link
Subramanian, S., Trischler, A., Bengio, Y., & Pal, C. J. (2018, April). Learning general purpose distributed sentence representations via large scale multitask learning [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada. External link
Vorontsov, E., Tang, A., Pal, C. J., & Kadoury, S. (2018, April). Liver lesion segmentation informed by joint liver segmentation [Paper]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. External link
Harvey, F. G., & Pal, C. J. (2018, December). Recurrent transition networks for character locomotion [Paper]. SIGGRAPH Asia Technical Briefs, Tokyo, Japan. External link
Ke, N. R., Goyal, A., Bilaniuk, O., Binas, J., Mozer, M. C., Pal, C. J., & Bengio, Y. (2018, December). Sparse attentive backtracking: Temporal credit assignment through reminding [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (12 pages). External link
Li, R., Kahou, S. E., Schulz, H., Michalski, V., Charlin, L., & Pal, C. J. (2018, December). Towards deep conversational recommendations [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages). External link
Subramanian, S., Rajeswar, S., Sordoni, A., Trischler, A., Courville, A., & Pal, C. J. (2018, December). Towards text generation with adversarially learned neural outlines [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (13 pages). External link
Serdyuk, D., Ke, N. R., Sordoni, A., Trischler, A., Pal, C. J., & Bengio, Y. (2018, April). Twin Networks: Matching the future for sequence generation [Paper]. 6th International Conference on Learning Representations (ICLR 2018), Vancouver, BC, Canada (12 pages). External link
Moniz, J. R. A., Beckham, C., Rajotte, S., Honari, S., & Pal, C. J. (2018, December). Unsupervised depth estimation, 3D face rotation and replacement [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages). External link
Maharaj, T., Ballas, N., Rohrbach, A., Courville, A., & Pal, C. J. (2016, July). A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering [Paper]. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI. External link
Racah, E., Beckham, C., Maharaj, T., Kahou, S. E., Prabha, H., & Pal, C. J. (2017, December). Extreme weather : a large-scale climate dataset for semi-supervised detection, localization and understanding of extreme weather events [Paper]. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA. External link
Fu, J., Ng, R., Chen, D., Ilievski, I., Pal, C. J., & Chua, T.-S. (2017, August). Neural Optimizers with hypergradients for tuning parameter-wise learning rates [Paper]. Automatic Machine Learning Workshop (ICML 2017), Sydney, Australia (8 pages). Unavailable
Kahou, S. E., Michalski, V., Memisevic, R., Pal, C. J., & Vincent, P. (2017, July). RATM: Recurrent Attentive Tracking Model [Paper]. 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017), Honolulu, HI, United states. External link
Ballas, N., Yao, L., Pal, C. J., & Courville, A. (2016, June). Delving Deeper into Convolution Networks for Learning Video Representation [Paper]. 10th IEEE Computer Society Workshop on Perceptual Organization in Computer Vision: The Role of Feedback in Recognition and Motion Perception (CVPR 2016), Las Vegas, Nevada (2 pages). External link
Ballas, N., Yao, L., Pal, C. J., & Courville, A. (2016, May). Delving deeper into convolutional networks for learning video representations [Paper]. 4th International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico (11 pages). External link
Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C. J., Larochelle, H., & Courville, A. (2015, December). Describing videos by exploiting temporal structure [Paper]. 15th IEEE International Conference on Computer Vision (ICCV 2015), Santiago, Chile. External link
Drozdzal, M., Vorontsov, E., Chartrand, G., Kadoury, S., & Pal, C. J. (2016, October). The Importance of Skip Connections in Biomedical Image Segmentation [Paper]. 2nd International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016), held in conjunction with MICCAI 2016, Athens, Greece. External link
Maier, O., Menze, B. H., der Gablentz, J. , Häni, L., Heinrich, M. P., Liebrand, M., Winzeck, S., Basit, A., Bentley, P., Chen, L., Christiaens, D., Dutil, F., Egger, K., Feng, C., Glocker, B., Götz, M., Haeck, T., Halme, H.-L., Havaei, M., ... Reyes, M. (2015, October). ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI [Paper]. Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference, Munich, Germany. Published in Medical Image Analysis, 35. External link
Honari, S., Yosinski, J., Vincent, P., & Pal, C. J. (2016, June). Recombinator networks: Learning coarse-to-fine feature aggregation [Paper]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, United states. External link
Harvey, F. G., & Pal, C. J. (2016, June). Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences [Paper]. 33rd International Conference on Machine Learning, New York, NY. Published in JMLR Workshop and Conference Proceedings, 48. Unavailable
Havaei, M., Dutil, F., Pal, C. J., Larochelle, H., & Jodoin, P.-M. (2015, October). A Convolutional Neural Network Approach to Brain Tumor Segmentation [Paper]. 1st International Workshop on Brain Lesion (BrainLes 2015), Munich, Germany. External link
Ibrahim, M. H., Pal, C. J., & Pesant, G. (2015, January). Exploiting determinism to scale relational inference [Paper]. 29th AAAI Conference on Artificial Intelligence (AAAI 2015) and 27th Innovative Applications of Artificial Intelligence Conference (IAAI 2015), Austin, TX, United states. Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 29(1). External link
Kahou, S. E., Froumenty, P., & Pal, C. J. (2014, September). Facial expression analysis based on high dimensional binary features [Paper]. European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland. External link
Kahou, S. E., Michalski, V., Konda, K., Memisevic, R., & Pal, C. J. (2015, November). Recurrent Neural Networks for Emotion Recognition in Video [Paper]. 17th International Conference on Multimodal Interaction (ICMI 2015), Seattle, USA. External link
Hasan, M. K., & Pal, C. J. (2014, July). Experiments on visual information extraction with the faces of Wikipedia [Paper]. 28th AAAI Conference on Artificial Intelligence, Québec, Québec. Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 28(1). External link
Kahou, S. E., Pal, C. J., Bouthillier, X., Froumenty, P., Gulcehre, C., Memisevic, R., Vincent, P., Courville, A., Bengio, Y., Ferrari, R. C., Mirza, M., Jean, S., Carrier, P.-L., Dauphin, Y., Boulanger-Lewandowski, N., Aggarwal, A., Zumer, J., Lamblin, P., Raymond, J.-P., ... Wu, Z. (2013, December). Combining modality specific deep neural networks for emotion recognition in video [Paper]. 15th ACM International Conference on Multimodal Interaction (ICMI 2013), Sydney, NSW, Australia. External link
Bhole, C., Morsillo, N., & Pal, C. J. (2011, September). 3D segmentation in CT imagery with conditional random fields and histograms of oriented gradients [Paper]. 2nd International Workshop on Machine Learning in Medical Imaging (MLMI 2011), Toronto, ON, Canada. External link
Wei, B., & Pal, C. J. (2011, August). Heterogeneous transfer learning with RBMs [Paper]. 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference (AAAI 2011/IAAI 2011), San Francisco, CA, United states. External link
Hasan, M. K., & Pal, C. J. (2011, September). Improving alignment of faces for recognition [Paper]. 9th IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011), Montréal, Québec. External link
Tran, L., Khoshabeh, R., Jain, A., Pal, C. J., & Nguyen, T. (2011, May). Spatially consistent view synthesis with coordinate alignment [Paper]. 36th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech republic. External link
Tran, L. C., Pal, C. J., & Nguyen, T. Q. (2010, September). View synthesis based on conditional random fields and graph cuts [Paper]. 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong. External link
Messing, R., & Pal, C. J. (2009, March). Behavior recognition in video with extended models of feature velocity dynamics [Paper]. AAAI Spring Symposium on Human Behavior Modeling, Stanford, CA, United states. External link
Tesfaldet, M., Nowrouzezahrai, D., & Pal, C. J. (2022, November). Attention-based Neural Cellular Automata [Poster]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. External link
Weiss, M., Rahaman, N., Locatello, F., Pal, C. J., Bengio, Y., Scholkopf, B., Ballas, N., & Li, L. E. (2022, November). Neural Attentive Circuits [Poster]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. External link
Beckham, C., Laradji, I., Rodriguez, P., Vazquez, D., Nowrouzezahrai, D., & Pal, C. J. (2022, August). Overcoming challenges in leverage GANS for few-shots data augmentation [Poster]. 1st Conference on Lifelong Learning Agents (CoLLAs 2022), Montreal, QC, Canada. External link
Pilault, J., El Hattami, A., & Pal, C. J. (2021, May). Conditionally adaptive multi-task learning: Improving transfer learning in nlp using fewer parameters & less data [Poster]. 9th International Conference on Learning Representations (ICLR 2021), Vienne, Austria. Unavailable
Bouteiller, Y., Ramstedt, S., Beltrame, G., Pal, C. J., & Binas, J. (2021, May). Reinforcement Learning with Random Delays [Poster]. 9th International Conference on Learning Representations (ICLR 2021). Unavailable
Piche, A., Thomas, V., Ibrahim, C., Bengio, Y., & Pal, C. J. (2019, May). Probabilistic planning with sequential Monte Carlo methods [Poster]. 7th International Conference on Learning Representations, New Orleans, Louisiana (8 pages). External link
Ramstedt, S., & Pal, C. J. (2019, December). Real-time reinforcement learning [Poster]. 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C. (1 page). External link
Voleti, V., Jolicoeur-Martineau, A., & Pal, C. J. (2022, November). MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation [Presentation]. In 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. External link
Weiss, M., Chamorro, S., Girgis, R., Luck, M., Kahou, S., Cohen, J., Nowrouzezahrai, D., Precup, D., Golemo, F., & Pal, C. J. (2019). Sidewalk Environment for Visual Navigation [Dataset]. External link
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Data mining. External link
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques. (4th ed.). External link
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2017). Extending instance-based and linear models. In Data Mining (pp. 243-284). External link
