Deep Generative Models

Poster Session

• Morning Session
• Afternoon Session

We thank the Computer Forum for sponsoring this poster session.

Morning Session

Names	Position	Title
Rayan Kanfar, Rustam Akhmadeiv	A1	Subsurface Imaging Using GANs
Leon Lin	A2	Generative Models for Medical Image Temporal Interpolation
Andrew Deng, Kais Kudrolli, Alex Tsun	A3	Poprockify - Music Style Transfer
Tanay Topac	A4	Anomaly Detection of a Sensor-network Equipped UAV Wing using Generative Adversarial Networks
Sanjana Srivastava, Kaylee Burns	A5	Extending the Lottery Ticket Hypothesis to Generative Models
Bowen Jing, Ethan Chi, Jillian Tang	A6	SGVAE: Sequential Graph Variational Autoencoders
Shai Limonchik, Conner Smith, Jose Cuerto	A7	Generating Chest X-ray images for Different Age Groups
Zainab Khan, Jonas Messner	A8	Super-Resolution of Low-Resolution Images using Generative Adversarial Networks
Alvaro Zamora, Aidan O'Beirne	A9	ImagiNet: Imagining Better Prognoses with Coupled VAEs.
Jeff Park	A10	Generative Models for Spaceborne Images
Daniel Semeniuta	B1	Data Augmentation with GANs for Image Classification
Teja Veeramacheneni, Ayush Agarwal	B2	Generalizing Pose Estimation Performance Through Synthetic 3D Pose Sequences
Nicole Ticea	B3	Inferring Functional Connectivity of Biological Neural Networks
Jennie Chen, Wenli Looi	B4	Caption-to-Image Conditional Generative Modeling
Annie Xie	B5	Learning Predictive Models by Observation and Interaction
Ross Weber	B6	Reconstructing 3D Battery Electrodes from 2D Images
Nishant Rai	B7	Super-Resolution of images using keypoint modelling
Luke Sturm, David Liang, Jonathan Mak	B8	Data Augmentation Techniques and Style Shifting Progress Report
Katie Fo, Tannar Williams	B9	Audio Super-Resolution for Total Laryngectomy Patients
Noah Arthurs	B10	Generative Models for Understanding Student Behavior During College Admissions
Pankaj Rajak, Siamak Shakeri, Lingjie Kong	C1	Generative models to form 3D point clouds
Michael Cai, Avoy Datta, Daniel Wu	C2	DeepTremor: Californian Earthquake Projection with Deep Generative Spatiotemporal RNNs
Sheng Li, Arec Jamgochian	C3	Bayesian Deep Learning for Capturing Uncertainties in Driver Behavior Prediction
Evin Yang, Daylen Yang	C4	Conversational Agents with GPT-2
Logan Spear, Daniel Salz	C5	Time series forecasting and scenario generation with WaveGlow
Chris Waites	C6	The Efficacy of Flow-Based Generative Models for Improved Biometric Verification Systems
Miles Hutson	C7	A Curious World
Yipeng He, Emma Chen	C8	Exploring image outpainting with GAN
Sahil Yakhmi	C9	Conditional Flow++
Nadim Saad, Alexandre Matton	C10	Transformers for image generation
Aviv Elbag	D1	Towards Selective Perception Agents
Shubh Gupta, Dan Johnson, Nhi Truong	D2	Generative Approaches to Object-Aware Trajectory Generation
Dang Ton	D3	Progressive Growing of GANs
Cindy Jiang, Andrew Guan, Lucas Lin	D4	Remastering GANimations
Jeffrey Barratt, Chuanbo Pan, Daniel Do	D5	Voice Conversion Using Generative Methods
Nolan Handali, Kush Khosla, Aleksander Dash	D6	Deep Conditional GANS for Image Generation
Vincent Liu	D7	Fast High-Fidelity Conditional Image Generation
Richard Diehl Martinez, John Kamalu	D8	Adversarial regularization of BERT attention layers for machine translation
JK Hunt, Emma Spellman, Katie Lamb	D9	Data Augmentation with GANs to Improve Cloud Classification
Jerry Meng, Kaan Donbekci, Vadim Yakubenko	D10	FashionFlow: Normalizing Flow Models for Fashion Generation
Prathik Naidu, Mihir Garimella	E1	Generalizable Unpaired Point Cloud Completion
Rastko Ciric, Charles Huang and Gustavo Chau	E2	Learning latent dimensions of the functional connectomic morphospace with deep disentanglement
Manan Shah, Shrey Gupta	E3	Deep SteGANography for Embedding Messages in Images
Justin Wong	E4	Improved Text-Conditioned Image Generation
Kevin Lee, Pablo Diaz	E5	MobileNet Adaptation for Pose-Guided Human Image Generation
Kelly He, Wen Zhou, Chaonan Ye	E6	ComposerGAN: An AI Music Composer
Mark Koren	E7	Deep Image Falsification for Autonomous Vehicles
Haruki Nishimura	E8	Normalizing Belief Flow: Learning Bayesian Belief Dynamics for Probabilistic Sequence Generation
Mihir Patel, Vinjai Vale, Eric Frankel	E9	FARM: Family of AutoRegressive Models
Allan Zhou	E10	Meta-learned Optimizers
Graham Todd, Collin Schlager, Natalie Cygan	F1	Learning to Groove: Conditional Melody Generation from Authentic Basslines
Andy Shih	F2	Variational Inference with Probabilistic Circuits

Afternoon Session

Names	Position	Title
Maneekwan Toyungyernsub	A1	Generating Point Clouds
John Chuter	A2	In Other Words: NLP Formality Style Transfer
Gino Tesei	A3	Facial Unpaired Image-to-Image Translation with Conditional Cycle-Consistent Generative Adversarial Networks
Kevin Tan	A4	Auto-Encoding Scene Graphs with Image Reconstruction
Vikul Gupta	A5	Meta-learning using Neural Processes
Dan Dore	A6	Dialogue Generation with GANs
Derek Huang, Taresh Sethi	A7	Quantifying Speaker Abilities Using Latent Space Features
Hui Xue	A8	Synthesis of Pediatric Cardiac Cine from Adult MRI using CycleGAN for Automated Segmentation of Myocardium
Amy Wang	A9	Learning Latent Representations for Triphones in Singing
Yang Zhao	A10	Image Super Resolution With GAN
Yuanjun Li; Su Jiang; Jiahui Wang	B1	Missing Data Imputation with GAN
Raghu Dhara	B2	Parametric Accent Hybridization: Combining Speech Idiosyncrasies Using Latent Space Interpolation
JunYoung Gwak, Priya Kasimbeg	B3	Text conditioned image generation
Shawn Manuel	B4	World Models for Deep Reinforcement Learning
Gorish Aggarwal	B5	Graph Generation Models
Zhaoyou Wang, Yue Hui	B6	Parallel Auto-Regressive Image Flows
Michael Ko, Sicheng Zeng	B7	Progressive Flow for High Dimentional Image Generation
Alex Kim, Kevin Tran	B8	Image Generation via Conditional Variational Auto-Encoder
Negin Heravi	B9	Action Aware Generative Models for Haptic Texture Generation
Canyon Robins, Jose Giron	B10	GAN Superresolution for High Spatial and Temporal Resolution Remote Sensing Data
Abhishek Sinha, Akshat Jindal, Kumar Ayush	C1	Diagnosis of Conditional GANs via Discriminative Ability of the Discriminator
Linjia Wu, Ye Ye	C2	Point Cloud Generation
Joshua Chang, Troy Shen	C3	Caption-to-Image Conditional Generative Modeling using Mirror GAN
Kathleen Kenealy	C4	Adversarial Learning for Neural Dialogue Generation
Devang Agrawal, Charles Rajan, Trisha Singh	C5	Generalized Text-to-Image Conditional Generative Modeling
Alex Boulton McKeehan	C6	Better title TBD (Generating Datasets by Learning Priors)
Arun Seetharaman	C7	Using Deep Generative Models to Reconstruct MRI
Sophia Barton, Danny Takeuchi	C8	Text-to-Image Conditional Generative Modeling
Jiahong Ouyang, Liu Yang	C9	Attributes Aware Latent Space Interpolation for Unpaired Image-to-image Translation
Rohan Badlani and Aditya Dusi	C10	DyGen: A Generative Model for Dynamic Temporal Graphs
Jason Ginsberg and Jonathan Zwiebel	D1	Generative MPI View Synthesis
Min Jun Park	D2	Toward 3D subsurface model generation
Julie Makelberge, Jacqueline Yau, Chris Lis	D3	Exploring multi-lingual text to speech
Srivatsan Sridhar, Varun Srivastava	D4	AdvAE and FlowVAE : Sampling Arbitrary Latent Variable Distributions in an Autoencoder
Mike Salvato	D5	Predictive hand tracking for haptic feedback
Eric Yang	D6	Variational Robot Grasp Generation
Sina Jandaghi Semnani, Fatma Tlili	D7	Data-Efficient Arbitrary Image Attribute Editing
Yongsoo Park	D8	Synthetic World Generation
Sreeram Venkatarao	D9	De Novo Drug Design with Transformer Architectures and Reinforcement Learning
Jeffrey Gu	D10	Information-Theoretic Definitions for Disentanglement
Alice Yang	E1	Adversarial Autoencoders for 3D Point Cloud Representation
Karen Yang	E2	GCN-VAE for Knowledge Graph Generation
Derrick Xin	E3	Sinkhorn GAN
Eva Zhang, Joyce Xu	E4	Entropy-Regularized Conditional GANs for Image Diversity in Data Generation
Wei Kang	E5	Image Super Resolution With GAN
Kenneth Wang, Jeffrey Hu, Gleb Shevchuk	E6	Deep Crop Yield Prediction in East Africa
Ziyi Yang, Teng Zhang	E7	Memory Augmented Generative Adversarial Networks for Anomaly Detection
Eric Mitchell, Saurabh Kumar	E8	Learning Latent Spaces for Reinforcement Learning
Adrian Costantino	E9	Text-to-Image Conditional Generative Modeling
Zhanghao Sun, Qiwen Wang, Mi Yu	E10	Semantic Segmentation Domain Adaptation with Generative Model
Ali Mottaghi	F1	Adversarial Representation Active Learning
Bosen Ding	F2	Face Swapping by CycleGAN
Kurt Adelberger	F3	A singing robot: real-time conditional sampling
Weixin Liang, Zixuan Liu, Can Liu	F4	Music MATINEE: Unsupervised Domain Adaptive Music Generation via Meta Learning
Khalid Ahmad	F5	Augmented PixelCNN? Just add Attention.
Han Lin Aung	F6	Farmland Parcel Delineation Using Generative Modeling
Mason Swofford, John Peruzzi, Nikita Demir	F7	MeGAN: Semi-supervised Image Augmentation for Few-Shot Classification
Ethan Oro	F8	Autogregssive Models for Music Generation
Yanyang Emma Kong, Kris Ma	F9	Chinese Painting Style Transfer Using Deep Generative Models
Henrik Marklund	F10	Semi-parametric approaches to Text-to-Image Generation
Sarah Gurev	G1	Screening for Gaucher Disease with Semi Supervised GANs
Mingkun Chen	G2	Metasurface Design Based on Generative Neural Networks
Hugo Kitano, Taide Ding	G3	Generalized Text-to-Image Conditional Generative Modeling
Jon Braatz, Daniel Tsai	G4	Optimizing Probability Distillation for Autoregressive Flow Models
Mustafa Omer Gul	G5	Text-to-Image Synthesis with MirrorGAN
Isaac Westlund	G6	Pseudo-Random Permutations Using Generative Adversarial Networks
Andrew Nam, Josh Ryu	G7	Probabilistic neural physics simulation
Justin Amezquita	G8	The Artificially Intelligent Investor
Andrew Miller-Smith	G9	Super Mario Zelgan: Recreating beloved video games via conditional progressive GANs
Jason Zheng, Makena Low, Michael Cooper	G10	GLow EP: Generating Low-Emittance Photocathodes for Particle Accelerators.
Qiaoyi Liu, Zewen Zhang	H1	Domain Gap in Image Super Resolution Generative Neural Networks
Sarah Hensley	H2	Varying Training Set Size with Caption-to-Image Generative Modeling
Arda Sahiner	H3	Using VAW-GANs on Raw Audio for Voice Conversion
Minfa Wang	H4	Mask CycleGAN: Unpaired Multi-modal Domain Translation with Interpretable Latent Variable
Ademi Adeniji	H5	Latent Skill Transfer for Simulated Agents
Scott Fleming, Will Song	H6	Learning Accurate Generative Models of ICU Patient Data for Real-Time Heparin Dosing Assistance