On Micro-Doppler Period Estimation. - Pavlo O. Molchanov; Jaakko Astola; Karen O. Egiazarian; Alexander V. Totsky (CSCS, 2013)

Classification of ground moving targets using bicepstrum-based features extracted from Micro-Doppler radar signatures. - Pavlo O. Molchanov; Jaakko Astola; Karen O. Egiazarian; Alexander V. Totsky (EURASIP J. Adv. Signal Process., 2013)

The Use of Automotive Radars in Video-Based Overtaking Assistance Applications. - Evgeniy Belyaev; Pavlo O. Molchanov; Alexey V. Vinel; Yevgeni Koucheryavy (IEEE Trans. Intell. Transp. Syst., 2013)

Classification of aircraft using micro-Doppler bicoherence-based features. - Pavlo O. Molchanov; Karen O. Egiazarian; Jaakko Astola; Alexander V. Totsky; Sergey Leshchenko; María-Pilar Jarabo-Amores (IEEE Trans. Aerosp. Electron. Syst., 2014)

Radar target classification by micro-Doppler contributions. - Pavlo O. Molchanov (2014)

Hand gesture recognition with 3D convolutional neural networks. - Pavlo Molchanov 001; Shalini Gupta; Kihwan Kim; Jan Kautz (CVPR Workshops, 2015)

Multi-sensor system for driver's hand-gesture recognition. - Pavlo Molchanov 001; Shalini Gupta; Kihwan Kim; Kari Pulli (FG, 2015)

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks. - Pavlo Molchanov 001; Xiaodong Yang 001; Shalini Gupta; Kihwan Kim; Stephen Tyree; Jan Kautz (CVPR, 2016)

Towards selecting robust hand gestures for automotive interfaces. - Shalini Gupta; Pavlo Molchanov 001; Xiaodong Yang 001; Kihwan Kim; Stephen Tyree; Jan Kautz (Intelligent Vehicles Symposium, 2016)

Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification. - Xiaodong Yang 001; Pavlo Molchanov 001; Jan Kautz (ACM Multimedia, 2016)

Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. - Pavlo Molchanov 001; Stephen Tyree; Tero Karras; Timo Aila; Jan Kautz (CoRR, 2016)

A Lightweight Approach for On-the-Fly Reflectance Estimation. - Kihwan Kim; Jinwei Gu; Stephen Tyree; Pavlo Molchanov 001; Matthias Nießner; Jan Kautz (ICCV, 2017)

Pruning Convolutional Neural Networks for Resource Efficient Inference. - Pavlo Molchanov 001; Stephen Tyree; Tero Karras; Timo Aila; Jan Kautz (ICLR (Poster), 2017)

3D Hand Pose Estimation: From Current Achievements to Future Goals. - Shanxin Yuan; Guillermo Garcia-Hernando; Björn Stenger; Gyeongsik Moon; Ju Yong Chang; Kyoung Mu Lee; Pavlo Molchanov 001; Jan Kautz; Sina Honari; Liuhao Ge; Junsong Yuan 001; Xinghao Chen 001; et al. (CoRR, 2017)

Budget-Aware Activity Detection with A Recurrent Policy Network. - Behrooz Mahasseni; Xiaodong Yang 001; Pavlo Molchanov 001; Jan Kautz (BMVC, 2018)

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

Making Convolutional Networks Recurrent for Visual Sequence Learning. - Xiaodong Yang 001; Pavlo Molchanov 001; Jan Kautz (CVPR, 2018)

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. - Shanxin Yuan; Guillermo Garcia-Hernando; Björn Stenger; Gyeongsik Moon; Ju Yong Chang; Kyoung Mu Lee; Pavlo Molchanov 001; Jan Kautz; Sina Honari; Liuhao Ge; Junsong Yuan 001; Xinghao Chen 001; et al. (CVPR, 2018)

Hand Pose Estimation via Latent 2.5D Heatmap Regression. - Umar Iqbal 001; Pavlo Molchanov 001; Thomas M. Breuel; Juergen Gall; Jan Kautz (ECCV (11), 2018)

IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification. - Sam Leroux; Pavlo Molchanov 001; Pieter Simoens; Bart Dhoedt; Thomas M. Breuel; Jan Kautz (ICLR (Workshop), 2018)

SCOPS: Self-Supervised Co-Part Segmentation. - Wei-Chih Hung; Varun Jampani; Sifei Liu; Pavlo Molchanov 001; Ming-Hsuan Yang 001; Jan Kautz (CVPR, 2019)

Importance Estimation for Neural Network Pruning. - Pavlo Molchanov 001; Arun Mallya; Stephen Tyree; Iuri Frosio; Jan Kautz (CVPR, 2019)

Few-Shot Adaptive Gaze Estimation. - Seonwook Park; Shalini De Mello; Pavlo Molchanov 001; Umar Iqbal 001; Otmar Hilliges; Jan Kautz (ICCV, 2019)

Boosting segmentation with weak supervision from image-to-image translation. - Eugene Vorontsov; Pavlo Molchanov 001; Wonmin Byeon; Shalini De Mello; Varun Jampani; Ming-Yu Liu 001; Samuel Kadoury; Jan Kautz (CoRR, 2019)

Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild. - Umar Iqbal 001; Pavlo Molchanov 001; Jan Kautz (CVPR, 2020)

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. - Hongxu Yin; Pavlo Molchanov 001; José M. Álvarez 004; Zhizhong Li 001; Arun Mallya; Derek Hoiem; Niraj K. Jha; Jan Kautz (CVPR, 2020)

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation Under Hand-Object Interaction. - Anil Armagan; Guillermo Garcia-Hernando; Seungryul Baek; Shreyas Hampali; Mahdi Rad; Zhaohui Zhang; Shipeng Xie; Mingxiu Chen; Boshen Zhang; Fu Xiong; Yang Xiao 007; Zhiguo Cao 001; et al. (ECCV (23), 2020)

Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. - Adrian Spurr; Umar Iqbal 001; Pavlo Molchanov 001; Otmar Hilliges; Jan Kautz (ECCV (17), 2020)

HarDNN: Feature Map Vulnerability Evaluation in CNNs. - Abdulrahman Mahmoud; Siva Kumar Sastry Hari; Christopher W. Fletcher; Sarita V. Adve; Charbel Sakr; Naresh R. Shanbhag; Pavlo Molchanov 001; Michael B. Sullivan 001; Timothy Tsai 002; Stephen W. Keckler (CoRR, 2020)

KAMA: 3D Keypoint Aware Body Mesh Articulation. - Umar Iqbal 001; Kevin Xie; Yunrong Guo; Jan Kautz; Pavlo Molchanov 001 (3DV, 2021)

DexYCB: A Benchmark for Capturing Hand Grasping of Objects. - Yu-Wei Chao; Wei Yang 019; Yu Xiang 001; Pavlo Molchanov 001; Ankur Handa; Jonathan Tremblay; Yashraj S. Narang; Karl Van Wyk; Umar Iqbal 001; Stan Birchfield; Jan Kautz; Dieter Fox (CVPR, 2021)

Optimal Quantization Using Scaled Codebook. - Yerlan Idelbayev; Pavlo Molchanov 001; Maying Shen; Hongxu Yin; Miguel Á. Carreira-Perpiñán; José M. Álvarez 004 (CVPR, 2021)

See Through Gradients: Image Batch Recovery via GradInversion. - Hongxu Yin; Arun Mallya; Arash Vahdat; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2021)

Optimizing Selective Protection for CNN Resilience. - Abdulrahman Mahmoud; Siva Kumar Sastry Hari; Christopher W. Fletcher; Sarita V. Adve; Charbel Sakr; Naresh R. Shanbhag; Pavlo Molchanov 001; Michael B. Sullivan 001; Timothy Tsai 002; Stephen W. Keckler (ISSRE, 2021)

Data-free Knowledge Distillation for Object Detection. - Akshay Chawla; Hongxu Yin; Pavlo Molchanov 001; José M. Álvarez 004 (WACV, 2021)

Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation. - Adrian Spurr; Pavlo Molchanov 001; Umar Iqbal 001; Jan Kautz; Otmar Hilliges (CoRR, 2021)

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. - Xin Dong 009; Hongxu Yin; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2021)

HANT: Hardware-Aware Network Transformation. - Pavlo Molchanov 001; Jimmy Hall; Hongxu Yin; Jan Kautz; Nicolò Fusi; Arash Vahdat (CoRR, 2021)

NViT: Vision Transformer Compression and Parameter Redistribution. - Huanrui Yang; Hongxu Yin; Pavlo Molchanov 001; Hai Li 001; Jan Kautz (CoRR, 2021)

HALP: Hardware-Aware Latency Pruning. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (CoRR, 2021)

AdaViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2021)

Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. - Xin Dong 009; Hongxu Yin; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001; H. T. Kung 001 (BMVC, 2022)

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. - Ye Yuan 007; Umar Iqbal 001; Pavlo Molchanov 001; Kris Kitani; Jan Kautz (CVPR, 2022)

GradViT: Gradient Inversion of Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Holger Roth; Wenqi Li 001; Jan Kautz; Daguang Xu; Pavlo Molchanov 001 (CVPR, 2022)

When to Prune? A Policy towards Early Structural Pruning. - Maying Shen; Pavlo Molchanov 001; Hongxu Yin; José M. Álvarez 004 (CVPR, 2022)

A-ViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2022)

LANA: Latency Aware Network Acceleration. - Pavlo Molchanov 001; Jimmy Hall; Hongxu Yin; Jan Kautz; Nicolò Fusi; Arash Vahdat (ECCV (12), 2022)

Structural Pruning via Latency-Saliency Knapsack. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (NeurIPS, 2022)

DRaCoN - Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars. - Amit Raj; Umar Iqbal 001; Koki Nagano; Sameh Khamis; Pavlo Molchanov 001; James Hays; Jan Kautz (CoRR, 2022)

Global Context Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2022)

Towards annotation-efficient segmentation via image-to-image translation. - Eugene Vorontsov; Pavlo Molchanov 001; Matej Gazda; Christopher Beckham; Jan Kautz; Samuel Kadoury (Medical Image Anal., 2022)

Heterogeneous Continual Learning. - Divyam Madaan; Hongxu Yin; Wonmin Byeon; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2023)

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. - Paul Micaelli; Arash Vahdat; Hongxu Yin; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2023)

Global Vision Transformer Pruning with Hessian-Aware Saliency. - Huanrui Yang; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; Hai Li 001; Jan Kautz (CVPR, 2023)

RANA: Relightable Articulated Neural Avatars. - Umar Iqbal 001; Akin Caliskan; Koki Nagano; Sameh Khamis; Pavlo Molchanov 001; Jan Kautz (ICCV, 2023)

Global Context Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Greg Heinrich; Jan Kautz; Pavlo Molchanov 001 (ICML, 2023)

AM-RADIO: Agglomerative Model - Reduce All Domains Into One. - Mike Ranzinger; Greg Heinrich; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 2023)

Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Ali Hatamizadeh; Hongxu Yin; Pavlo Molchanov 001; Andriy Myronenko; Wenqi Li 001; Prerna Dogra; Andrew Feng; Mona G. Flores; Jan Kautz; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2023)

PACE: Human and Camera Motion Estimation from in-the-wild Videos. - Muhammed Kocabas; Ye Yuan 007; Pavlo Molchanov 001; Yunrong Guo; Michael J. Black; Otmar Hilliges; Jan Kautz; Umar Iqbal 001 (3DV, 2024)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Pavlo Molchanov 001; Mohammad Shoeybi; Song Han 003 (CVPR, 2024)

AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One. - Mike Ranzinger; Greg Heinrich; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2024)

LITA: Language Instructed Temporal-Localization Assistant. - De-An Huang; Shijia Liao; Subhashree Radhakrishnan; Hongxu Yin; Pavlo Molchanov 001; Zhiding Yu; Jan Kautz (ECCV (64), 2024)

COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation. - Jiefeng Li; Ye Yuan 007; Davis Rempe; Haotian Zhang 004; Pavlo Molchanov 001; Cewu Lu; Jan Kautz; Umar Iqbal 001 (ECCV (16), 2024)

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. - Anna Bair; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; José M. Álvarez 004 (ICLR, 2024)

FasterViT: Fast Vision Transformers with Hierarchical Attention. - Ali Hatamizadeh; Greg Heinrich; Hongxu Yin; Andrew Tao; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (ICLR, 2024)

Flextron: Many-in-One Flexible Large Language Model. - Ruisi Cai; Saurav Muralidharan; Greg Heinrich; Hongxu Yin; Zhangyang Wang; Jan Kautz; Pavlo Molchanov 001 (ICML, 2024)

DoRA: Weight-Decomposed Low-Rank Adaptation. - Shih-Yang Liu; Chien-Yi Wang; Hongxu Yin; Pavlo Molchanov 001; Yu-Chiang Frank Wang; Kwang-Ting Cheng; Min-Hung Chen (ICML, 2024)

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. - Gongfan Fang; Hongxu Yin; Saurav Muralidharan; Greg Heinrich; Jeff Pool; Jan Kautz; Pavlo Molchanov 001; Xinchao Wang (NeurIPS, 2024)

Compact Language Models via Pruning and Knowledge Distillation. - Saurav Muralidharan; Sharath Turuvekere Sreenivas; Raviraj Joshi; Marcin Chochowski; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Jan Kautz; Pavlo Molchanov 001 (NeurIPS, 2024)

Multi-Antenna Array for All Space Communications. - Pavlo Molchanov 001 (RWS, 2024)

X-VILA: Cross-Modality Alignment for Large Language Model. - Hanrong Ye; De-An Huang; Yao Lu 006; Zhiding Yu; Wei Ping; Andrew Tao; Jan Kautz; Song Han 003; Dan Xu 002; Pavlo Molchanov 001; Hongxu Yin (CoRR, 2024)

Step Out and Seek Around: On Warm-Start Training with Incremental Data. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; José M. Álvarez 004 (CoRR, 2024)

A deeper look at depth pruning of LLMs. - Shoaib Ahmed Siddiqui; Xin Dong 009; Greg Heinrich; Thomas M. Breuel; Jan Kautz; David Krueger 001; Pavlo Molchanov 001 (CoRR, 2024)

VILA2: VILA Augmented VILA. - Yunhao Fang; Ligeng Zhu; Yao Lu 006; Yan Wang 051; Pavlo Molchanov 001; Jang Hyun Cho; Marco Pavone 001; Song Han 003; Hongxu Yin (CoRR, 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (CoRR, 2024)

LLM Pruning and Distillation in Practice: The Minitron Approach. - Sharath Turuvekere Sreenivas; Saurav Muralidharan; Raviraj Joshi; Marcin Chochowski; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2024)

PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation. - Mike Ranzinger; Jon Barker; Greg Heinrich; Pavlo Molchanov 001; Bryan Catanzaro; Andrew Tao (CoRR, 2024)

EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation. - Shih-Yang Liu; Huck Yang; Chein-Yi Wang; Nai Chit Fung; Hongxu Yin; Charbel Sakr; Saurav Muralidharan; Kwang-Ting Cheng; Jan Kautz; Yu-Chiang Frank Wang; Pavlo Molchanov 001; Min-Hung Chen (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. - Akhiad Bercovich; Tomer Ronen; Talor Abramovich; Nir Ailon; Nave Assaf; Mohammad Dabbah; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Netanel Haber; Ehud Karpas; et al. (CoRR, 2024)

NVILA: Efficient Frontier Visual Language Models. - Zhijian Liu; Ligeng Zhu; Baifeng Shi; Zhuoyang Zhang; Yuming Lou; Shang Yang; Haocheng Xi; Shiyi Cao; Yuxian Gu; Dacheng Li; Xiuyu Li; Yunhao Fang; et al. (CoRR, 2024)

RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CoRR, 2024)

RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CVPR, 2025)

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. - Hengyu Liu; Yuehao Wang; Chenxin Li; Ruisi Cai; Kevin Wang; Wuyang Li; Pavlo Molchanov 001; Peihao Wang; Zhangyang Wang (CVPR, 2025)

NVILA: Efficient Frontier Visual Language Models. - Zhijian Liu; Ligeng Zhu; Baifeng Shi; Zhuoyang Zhang; Yuming Lou; Shang Yang; Haocheng Xi; Shiyi Cao; Yuxian Gu; Dacheng Li; Xiuyu Li; Haotian Tang; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

Scaling Vision Pre-Training to 4K Resolution. - Baifeng Shi; Boyi Li; Han Cai; Yao Lu 006; Sifei Liu; Marco Pavone 001; Jan Kautz; Song Han 003; Trevor Darrell; Pavlo Molchanov 001; Hongxu Yin (CVPR, 2025)

Hymba: A Hybrid-head Architecture for Small Language Models. - Xin Dong 009; Yonggan Fu; Shizhe Diao; Wonmin Byeon; Zijia Chen; Ameya Sunil Mahabaleshwarkar; Shih-Yang Liu; Matthijs Van Keirsbilck; Min-Hung Chen; Yoshi Suhara; Yingyan Celine Lin; Jan Kautz; et al. (ICLR, 2025)

LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. - Ruisi Cai; Saurav Muralidharan; Hongxu Yin; Zhangyang Wang; Jan Kautz; Pavlo Molchanov 001 (ICLR, 2025)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; et al. (ICLR, 2025)

LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement. - Zhifan Ye; Kejing Xia; Yonggan Fu; Xin Dong 009; Jihoon Hong; Xiangchi Yuan; Shizhe Diao; Jan Kautz; Pavlo Molchanov 001; Yingyan Celine Lin (ICLR, 2025)

Advancing Weight and Channel Sparsification with Enhanced Saliency. - Xinglong Sun; Maying Shen; Hongxu Yin; Lei Mao; Pavlo Molchanov 001; José M. Álvarez 004 (WACV, 2025)

Entropy-Regularized Process Reward Model. - Hanning Zhang; Pengcheng Wang 005; Shizhe Diao; Yong Lin; Rui Pan 002; Hanze Dong; Dylan Zhang; Pavlo Molchanov 001; Tong Zhang 001 (Trans. Mach. Learn. Res., 2025)

FeatSharp: Your Vision Model Features, Sharper. - Mike Ranzinger; Greg Heinrich; Pavlo Molchanov 001; Jan Kautz; Bryan Catanzaro; Andrew Tao (CoRR, 2025)

TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces. - Guillaume Quétant; Pavlo Molchanov 001; Slava Voloshynovskiy (CoRR, 2025)

Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning. - Ali Taghibakhshi; Sharath Turuvekere Sreenivas; Saurav Muralidharan; Marcin Chochowski; Yashaswi Karnati; Raviraj Joshi; Ameya Sunil Mahabaleshwarkar; Zijia Chen; Yoshi Suhara; Oluwatobi Olabiyi; Daniel Korzekwa; Mostofa Patwary; et al. (CoRR, 2025)

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. - Shizhe Diao; Yu Yang; Yonggan Fu; Xin Dong 009; Dan Su 003; Markus Kliegl; Zijia Chen; Peter Belcak; Yoshi Suhara; Hongxu Yin; Mostofa Patwary; Yingyan Lin; et al. (CoRR, 2025)

Small Language Models are the Future of Agentic AI. - Peter Belcak; Greg Heinrich; Shizhe Diao; Yonggan Fu; Xin Dong 009; Saurav Muralidharan; Yingyan Celine Lin; Pavlo Molchanov 001 (CoRR, 2025)

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation. - Peter Belcak; Greg Heinrich; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2025)

Scaling RL to Long Videos. - Yukang Chen; Wei Huang; Baifeng Shi; Qinghao Hu 004; Hanrong Ye; Ligeng Zhu; Zhijian Liu; Pavlo Molchanov 001; Jan Kautz; Xiaojuan Qi; Sifei Liu; Hongxu Yin; et al. (CoRR, 2025)

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training. - Mingjie Liu; Shizhe Diao; Jian Hu; Ximing Lu; Xin Dong 009; Hao Zhang 097; Alexander Bukharin; Shaokun Zhang; Jiaqi Zeng; Makesh Narsimhan Sreedhar; Gerald Shen; David Mosallanezhad; et al. (CoRR, 2025)

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. - Dachuan Shi; Yonggan Fu; Xiangchi Yuan; Zhongzhi Yu; Haoran You; Sixu Li; Xin Dong 009; Jan Kautz; Pavlo Molchanov 001; Yingyan Lin (CoRR, 2025)